All Publications

2022

Schlosser, R., Weisgut, M., Huebscher, L., Nordemann, O.: Robust Index Selection for Stochastic Dynamic Workloads. Springer Nature Computer Science, to appear. (2022).

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Lindner, D., Schumann, F., Alder, N., Bleifuss, T., Bornemann, L., Naumann, F.: Mining Change Rules. Proceedings of the 25th International Conference on Extending Database Technology, EDBT 2022, Edinburgh, UK, March 29 - April 1, 2022. pp. 2:91–2:103 (2022).

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Boissier, M.: Robust and Budget-Constrained Encoding Configurations for In-Memory Database Systems. Proceedings of the VLDB Endowment. pp. 780–793 (2022).

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Perscheid, M., Plattner, H., Ritter, D., Schlosser, R., Teusner, R.: Das Fachgebiet “Enterprise Platform and Integration Concepts” am Hasso-Plattner-Institut. Datenbank-Spektrum. 22, 175–180 (2022).

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Justen, D.: Cost-efficiency and Performance Robustness in Serverless Data Exchange. Proceedings of the 2022 International Conference on Management of Data (SIGMOD ’22), Student Research Competition. pp. 2506–2508. Association for Computing Machinery, New York, NY, USA (2022).

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Hagedorn, C., Lange, C., Huegle, J., Schlosser, R.: GPU Acceleration for Information-theoretic Constraint-based Causal Discovery. In: Le, T.D., Liu, L., Kıcıman, E., Triantafyllou, S., and Liu, H. (eds.) Proceedings of The KDD’22 Workshop on Causal Discovery, Proceedings of Machine Learning Research (PMLR) 185. pp. 30–60 (2022).

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Figge, F., Dimitrov, S., Schlosser, R., Chenavaz, R.: Does the circular economy fuel the throwaway society? The role of opportunity costs for products that lose value over time. Journal of Cleaner Production. 368 (133207), (2022).

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Bodner, T., Pietz, T., Bollmeier, L.J., Ritter, D.: Doppler: Understanding Serverless Query Execution. Proceedings of the SIGMOD Workshop on Big Data in Emergent Distributed Environments. (2022).

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Richly, K., Schlosser, R., Boissier, M.: Budget-Conscious Fine-Grained Configuration Optimization for Spatio-Temporal Applications. Proceedings of the VLDB Endowment. pp. 4079–4092 (2022).

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10.

Schlosser, R., Kastius, A.: A Conceptual Framework for Studying Self-Learning Agents in Recommerce Markets. Operations Research Proceedings (OR 2022) (2022).

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11.

Kastius, A., Schlosser, R.: Multi-Agent Dynamic Pricing Using Reinforcement Learning and Asymmetric Information. Operations Research Proceedings (OR2022) (2022).

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12.

Schlosser, R., Westphal, J., Pörschke, M., Maltenberger, T., Kaminsky, Y.: Self-Adaptive Agents in a Dynamic Pricing Duopoly: Competition, Collusion, and Risk Considerations. Springer Nature Computer Science. 3 (3), 1–17 (2022).

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13.

Hagedorn, C., Huegle, J., Schlosser, R.: Understanding Unforeseen Production Downtimes in Manufacturing Processes using Log Data-driven Causal Reasoning. Journal of Intelligent Manufacturing. 33, 2027–2043 (2022).

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14.

Schlosser, R., Kastius, A.: Stochastic Dynamic Pricing under Duopoly Competition with Mutual Strategy Adjustments. Operations Research Proceedings (OR 2021). pp. 367–372 (2022).

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15.

Weisgut, M., Ritter, D., Boissier, M., Perscheid, M.: Separated Allocator Metadata in Disaggregated In-Memory Databases: Friend or Foe?. 1st Workshop on Composable Systems (COMPSYS@IPDPS), awarded as best paper (2022).

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16.

Kossmann, J., Kastius, A., Schlosser, R.: SWIRL: Selection of Workload-aware Indexes using Reinforcement Learning. EDBT 2022. pp. 155–168 (2022).

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17.

Kastius, A., Schlosser, R.: Towards Transfer Learning for Revenue and Pricing Management. Operations Research Proceedings, OR2021. pp. 361–366 (2022).

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18.

Weisgut, M., Hübscher, L., Nordemann, O., Schlosser, R.: Solver-Based Approaches for Robust Multi-Index Selection Problems with Reconfiguration Costs under Stochastic Dynamic Workloads. 11th International Conference on Operations Research and Enterprise Systems (ICORES 2022). pp. 28–39 (2022).

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19.

Kossmann, J., Lindner, D., Naumann, F., Papenbrock, T.: Workload-driven, Lazy Discovery of Data Dependencies for Query Optimization. Proceedings of the Conference on Innovative Data Systems Research (CIDR) (2022).

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20.

Kastius, A., Schlosser, R.: Dynamic Pricing under Competition using Reinforcement Learning. Journal of Revenue and Pricing Management. 21, 50–63 (2022).

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21.

Braun, T., Hurdelhey, B., Meier, D., Tsayun, P., Hagedorn, C., Huegle, J., Schlosser, R.: GPUCSL: GPU-Based Library for Causal Structure Learning. ICDM Open Project Forum, accepted (2022).

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22.

Schlosser, R.: Heuristic Mean Variance Optimization in Markov Decision Processes using State-Dependent Risk Aversion. IMA Journal of Management Mathematics. 33 (2), 181–199 (2022).

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23.

Chenavaz, R., Klibi, W., Schlosser, R.: Dynamic Pricing with Reference Price Effects in Integrated Online and Offline Retailing. International Journal of Production Research. 60, 5854–5875 (2022).

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24.

Richly, K., Schlosser, R., Brauer, J.: Enabling Risk-averse Dispatch Processes for Transportation Network Companies by Probabilistic Location Prediction. Communications in Computer and Information Science, Springer. 1623, 21–42 (2022).

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2021

Richly, K., Schlosser, R., Boissier, M.: Joint Index, Sorting, and Compression Optimization for Memory-Efficient Spatio-Temporal Data Management. 37th IEEE International Conference on Data Engineering, ICDE 2021, Chania, Greece, April 19-22, 2021. pp. 1901–1906 (2021).

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Weisgut, M.: Experimental Index Evaluation for Partial Indexes in Horizontally Partitioned In-Memory Databases. 32nd GI-Workshop on Foundations of Databases (GvDB) (2021).

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Serth, S., Staubitz, T., Teusner, R., Meinel, C.: CodeOcean and CodeHarbor: Auto-Grader and Code Repository. In: Shaffer, C., Brusilovsky, P., Koedinger, K., and Edwards, S. (eds.) SPLICE 2021 Workshop CS Education Infrastructure for All III: From Ideas to Practice. p. 5. 52nd ACM Technical Symposium on Computer Science Education, Virtual Event (2021).

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Richly, K., Schlosser, R., Brauer, J., Plattner, H.: A Probabilistic Location Prediction Approach to Optimize Dispatch Processes in the Ride-Hailing Industry. HICSS 2021. pp. 1830–1840 (2021).

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Schlosser, R.: Scalable Relaxation Techniques to Solve Stochastic Dynamic Multi-Product Pricing Problems with Substitution Effects. Journal of Revenue and Pricing Management. 20 (1), 54–65 (2021).

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Perscheid, C.: Comprior: facilitating the implementation and automated benchmarking of prior knowledge-based feature selection approaches on gene expression data sets. BMC Bioinformatics. 22, (2021).

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Heinzl, L., Hurdelhey, B., Boissier, M., Perscheid, M., Plattner, H.: Evaluating Lightweight Integer Compression Algorithms in Column-Oriented In-Memory DBMS. 12th International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures, ADMS@VLDB 2021, Copenhagen, Denmark, August 16, 2021 (2021).

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Kaminsky, Y., Maltenberger, T., Pörschke, M., Westphal, J., Schlosser, R.: Pricing Competition in a Duopoly with Self-Adapting Strategies. 10th International Conference on Operations Research and Enterprise Systems (ICORES 2021). pp. 60–71 (2021).

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Huegle, J., Hagedorn, C., Perscheid, M., Plattner, H.: MPCSL - A Modular Pipeline for Causal Structure Learning. Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining. pp. 3068–3076. Association for Computing Machinery, New York, NY, USA (2021).

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10.

Huegle, J.: An Information-Theoretic Approach on Causal Structure Learning for Heterogeneous Data Characteristics of Real-World Scenarios. Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21. pp. 4891–4892. International Joint Conferences on Artificial Intelligence Organization (2021).

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11.

Hagedorn, C., Huegle, J.: Constraint-Based Causal Structure Learning in Multi-GPU Environments. In: Seidl, T., Fromm, M., and Obermeier, S. (eds.) Proceedings of the LWDA 2021 Workshops: FGWM, KDML, FGWI-BIA, and FGIR, Online, September 1-3, 2021. pp. 106–118. CEUR-WS.org (2021).

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12.

Huegle, J., Hagedorn, C., Boehme, L., Poerschke, M., Umland, J., Schlosser, R.: MANM-CS: Data Generation for Benchmarking Causal Structure Learning from Mixed Discrete-Continuous and Nonlinear Data. WHY-21 @ NeurIPS 2021 (2021).

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13.

Kossmann, J., Papenbrock, T., Naumann, F.: Data dependencies for query optimization: a survey. VLDB Journal. (2021).

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14.

Bethge, J., Serth, S., Staubitz, T., Wuttke, T., Nordemann, O., Das, P.-P., Meinel, C.: TransPipe - A Pipeline for Automated Transcription and Translation of Videos. Proceedings of the 7th European MOOC Stakeholder Summit (EMOOCs 2021). pp. 79–94. Universitätsverlag Potsdam, Potsdam, Germany (2021).

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15.

Halfpap, S., Schlosser, R.: Memory-Efficient Database Fragment Allocation for Robust Load Balancing when Nodes Fail. 37th IEEE International Conference on Data Engineering, ICDE 2021, Chania, Greece, April 19-22, 2021. pp. 1811–1816 (2021).

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16.

Steinbeck, H., Teusner, R., Meinel, C.: Teaching the Masses on Twitch: An Initial Exploration of Educational Live-Streaming. Proceedings of the Eighth ACM Conference on Learning @ Scale. pp. 275–278. ACM, Virtual Event, Germany (2021).

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17.

Serth, S., Teusner, R., Meinel, C.: Impact of Contextual Tips for Auto-Gradable Programming Exercises in MOOCs. Proceedings of the Eighth ACM Conference on Learning @ Scale. pp. 307–310. ACM, Virtual Event, Germany (2021).

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18.

Lindner, D., Loeser, A., Kossmann, J.: Learned What-If Cost Models for Autonomous Clustering. New Trends in Database and Information Systems - ADBIS 2021 Short Papers, Doctoral Consortium and Workshops, Tartu, Estonia. pp. 3–13 (2021).

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19.

Hagedorn, C., Huegle, J.: GPU-Accelerated Constraint-Based Causal Structure Learning for Discrete Data. Proceedings of the 2021 SIAM International Conference on Data Mining (SDM). pp. 37–45 (2021).

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20.

Schlosser, R., Chenavaz, R., Dimitrov, S.: Circular Economy: Joint Dynamic Pricing and Recycling Investments. International Journal of Production Economics. 108117, 1–13 (2021).

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21.

Hesse, G., Matthies, C., Perscheid, M., Uflacker, M., Plattner, H.: ESPBench: The Enterprise Stream Processing Benchmark. ACM/SPEC Internation Conference on Performance Engineering (ICPE). pp. 201–212 (2021).

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22.

Hesse, G., Matthies, C., Uflacker, M.: How Fast Can We Insert? An Empirical Performance Evaluation of Apache Kafka. IEEE International Conference on Parallel and Distributed Systems (ICPADS). pp. 641–648 (2021).

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23.

Huegle, J., Hagedorn, C., Uflacker, M.: Unterstützte Fehlerbehebung durch kausales Strukturwissen in Überwachungssystemen der Automobilfertigung. In: Götz, S., Linsbauer, L., Schaefer, I., and Wortmann, A. (eds.) Software Engineering 2021 Satellite Events, Lecture Notes in Informatics (LNI). Gesellschaft für Informatik, Bonn (2021).

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24.

Kossmann, J., Boissier, M., Dubrawski, A., Heseding, F., Mandel, C., Pigorsch, U., Schneider, M., Schniese, T., Sobhani, M., Tsayun, P., Wille, K., Perscheid, M., Uflacker, M., Plattner, H.: A Cockpit for the Development and Evaluation of Autonomous Database Systems. 37th IEEE International Conference on Data Engineering, ICDE. pp. 2685–2688 (2021).

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@inproceedings{kossmann2021cockpit,
  abstract = {Databases are highly optimized complex systems with a multitude of configuration options. Especially in cloud scenarios with thousands of database deployments, determining optimized database configurations in an automated fashion is of increasing importance for database providers. At the same time, due to increased system complexity, it becomes more challenging to identify well-performing configurations. Therefore, research interest in autonomous or self-driving database systems has increased enormously in recent years. Such systems promise both performance improvements and cost reductions. In the literature, various fully or partially autonomous optimization mechanisms exist that optimize single aspects, e.g., index selection. However, database administrators and developers often distrust autonomous approaches, and there is a lack of practical experimentation opportunities that could create a better understanding. Moreover, the interplay of different autonomous mechanisms under complex workloads remains an open question. The presented cockpit enables an interactive assessment of the impact of autonomous components for database systems by comparing (autonomous) systems with different configurations side by side. Thereby, the cockpit enables users to build trust in autonomous solutions by experimenting with such technologies and observing their effects in practice.},
  author = {Kossmann, Jan and Boissier, Martin and Dubrawski, Alexander and Heseding, Fabian and Mandel, Caterina and Pigorsch, Udo and Schneider, Max and Schniese, Til and Sobhani, Mona and Tsayun, Petr and Wille, Katharina and Perscheid, Michael and Uflacker, Matthias and Plattner, Hasso},
  booktitle = {37th IEEE International Conference on Data Engineering, ICDE},
  keywords = {adm autonomous database hyrise in-memory_database mboissierselected myown self-driving self-managing},
  pages = {2685-2688},
  title = {A Cockpit for the Development and Evaluation of Autonomous Database Systems},
  year = 2021
}

25.

Matthies, C., Dobrigkeit, F.: Experience vs Data: A Case for More Data-Informed Retrospective Activities. Lecture Notes in Business Information Processing. pp. 130–144. Springer International Publishing (2021).

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26.

Teusner, R.: Situational Interventions and Peer Feedback in Massive Open Online Courses, https://doi.org/10.25932/publishup-50758, (2021).

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@phdthesis{teusner2021situational,
  abstract = {Massive Open Online Courses (MOOCs) open up new opportunities to learn a wide variety of skills online and are thus well suited for individual education, especially where proffcient teachers are not available locally. At the same time, modern society is undergoing a digital transformation, requiring the training of large numbers of current and future employees. Abstract thinking, logical reasoning, and the need to formulate instructions for computers are becoming increasingly relevant. A holistic way to train these skills is to learn how to program. Programming, in addition to being a mental discipline, is also considered a craft, and practical training is required to achieve mastery. In order to effectively convey programming skills in MOOCs, practical exercises are incorporated into the course curriculum to offer students the necessary hands-on experience to reach an in-depth understanding of the programming concepts presented. Our preliminary analysis showed that while being an integral and rewarding part of courses, practical exercises bear the risk of overburdening students who are struggling with conceptual misunderstandings and unknown syntax. In this thesis, we develop, implement, and evaluate different interventions with the aim to improve the learning experience, sustainability, and success of online programming courses. Data from four programming MOOCs, with a total of over 60,000 participants, are employed to determine criteria for practical programming exercises best suited for a given audience. Based on over five million executions and scoring runs from students' task submissions, we deduce exercise difficulties, students' patterns in approaching the exercises, and potential flaws in exercise descriptions as well as preparatory videos. The primary issue in online learning is that students face a social gap caused by their isolated physical situation. Each individual student usually learns alone in front of a computer and suffers from the absence of a pre-determined time structure as provided in traditional school classes. Furthermore, online learning usually presses students into a one-size-fits-all curriculum, which presents the same content to all students, regardless of their individual needs and learning styles. Any means of a personalization of content or individual feedback regarding problems they encounter are mostly ruled out by the discrepancy between the number of learners and the number of instructors. This results in a high demand for self-motivation and determination of MOOC participants. Social distance exists between individual students as well as between students and course instructors. It decreases engagement and poses a threat to learning success. Within this research, we approach the identified issues within MOOCs and suggest scalable technical solutions, improving social interaction and balancing content difficulty. Our contributions include situational interventions, approaches for personalizing educational content as well as concepts for fostering collaborative problem-solving. With these approaches, we reduce counterproductive struggles and create a universal improvement for future programming MOOCs. We evaluate our approaches and methods in detail to improve programming courses for students as well as instructors and to advance the state of knowledge in online education. Data gathered from our experiments show that receiving peer feedback on one's programming problems improves overall course scores by up to 17%. Merely the act of phrasing a question about one's problem improved overall scores by about 14%. The rate of students reaching out for help was significantly improved by situational just-in-time interventions. Request for Comment interventions increased the share of students asking for help by up to 158%. Data from our four MOOCs further provide detailed insight into the learning behavior of students. We outline additional significant findings with regard to student behavior and demographic factors. Our approaches, the technical infrastructure, the numerous educational resources developed, and the data collected provide a solid foundation for future research.},
  author = {Teusner, Ralf},
  keywords = {MOOC collaboration intervention peer-feedback programming},
  month = {may},
  title = {Situational Interventions and Peer Feedback in Massive Open Online Courses},
  year = 2021
}

27.

Schlosser, R., Halfpap, S.: Robust and Memory-Efficient Database Fragment Allocation for Large and Uncertain Database Workloads. 24th International Conference on Extending Database Technology (EDBT 2021). pp. 367–372 (2021).

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2020

Schlosser, R.: Risk-Sensitive Control of Markov Decision Processes: A Moment-Based Approach with Target Distributions. Computers and Operations Research. 123 (104997), 1–15 (2020).

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Matthies, C., Dobrigkeit, F., Hesse, G.: Mining for Process Improvements: Analyzing Software Repositories in Agile Retrospectives. IEEE/ACM International Conference on Software Engineering Workshops (ICSEW). pp. 189–190. ACM, New York, NY, USA (2020).

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Halfpap, S., Schlosser, R.: Exploration of Dynamic Query-Based Load Balancing for Partially Replicated Database Systems with Node Failures. CIKM ’20: The 29th ACM International Conference on Information and Knowledge Management. pp. 3409–3412 (2020).

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Ramin, F., Matthies, C., Teusner, R.: More than Code: Contributions in Scrum Software Engineering Teams. Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops. pp. 137–140. ACM, New York, NY, USA (2020).

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Matthies, C.: Playing with Your Project Data in Scrum Retrospectives. Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering: Companion Proceedings. pp. 113–115. ACM, New York, NY, USA (2020).

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Serth, S., Teusner, R., Meinel, C.: Digitale Arbeitsblätter mit interaktiven Programmieraufgaben im Informatik-Unterricht. In: Zender, R., Ifenthaler, D., Leonhardt, T., and Schumacher, C. (eds.) Lecture Notes in Informatics (LNI) - Proceedings: DELFI 2020 – Die 18. Fachtagung Bildungstechnologien der Gesellschaft für Informatik e.V. pp. 235–246. Gesellschaft für Informatik e.V. (GI), Bonn, Germany (2020).

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Dobrigkeit, F., de Paula, D., Carroll, N.: InnoDev Workshop: A One Day Introduction to Combining Design Thinking, Lean Startup and Agile Software Development. 2020 IEEE 32nd Conference on Software Engineering Education and Training (CSEE\&T). pp. 1–10. IEEE (2020).

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Lambers, L., Schneider, S., Weisgut, M.: Model-Based Testing of Read Only Graph Queries. International Conference on Software Testing, Verification and Validation Workshops (ICSTW) (2020).

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Matthies, C., Huegle, J., Dürschmid, T., Teusner, R.: Attitudes, Beliefs, and Development Data Concerning Agile Software Development Practices. In: Felderer, M., Hasselbring, W., Rabiser, R., and Jung, R. (eds.) Software Engineering 2020. pp. 73–74. Gesellschaft für Informatik e.V., Bonn (2020).

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10.

Huegle, J., Hagedorn, C., Uflacker, M.: How Causal Structural Knowledge Adds Decision-Support in Monitoring of Automotive Body Shop Assembly Lines. In: Bessiere, C. (ed.) Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI-20. pp. 5246–5248. International Joint Conferences on Artificial Intelligence Organization (2020).

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11.

Kossmann, J., Halfpap, S., Jankrift, M., Schlosser, R.: Magic mirror in my hand, which is the best in the land? An Experimental Evaluation of Index Selection Algorithms. Proceedings of the VLDB Endowment. pp. 2382–2395 (2020).

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12.

Schlosser, R., Halfpap, S.: A Decomposition Approach for Risk-Averse Index Selection. 32nd International Conference on Scientific and Statistical Database Management (SSDBM 2020). pp. 16:1–16:4 (2020).

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13.

Bodner, T.: Elastic Query Processing on Function as a Service Platforms. Proceedings of the VLDB PhD Workshop. (2020).

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14.

Schlosser, R.: Stochastic Dynamic Pricing with Waiting and Forward-Looking Consumers. Communications in Computer and Information Science (CCIS), Vol. 1162. pp. 47–69. Springer (2020).

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15.

Dobrigkeit, F., Pajak, P., de Paula, D., Uflacker, M.: DT@ IT Toolbox: Design Thinking Tools to Support Everyday Software Development. In: Meinel, C. and Leifer, L. (eds.) Design Thinking Research: Investigating Design Team Performance. pp. 201–227. Springer (2020).

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16.

Richly, K., Brauer, J., Schlosser, R.: Predicting Location Probabilities of Drivers to Improve Dispatch Decisions of Transportation Network Companies Based on Trajectory Data. 9th International Conference on Operations Research and Enterprise Systems, ICORES 2020. pp. 47–58 (2020).

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17.

Schmidt, C., Huegle, J., Horschig, S., Uflacker, M.: Out-of-Core GPU-Accelerated Causal Structure Learning. Algorithms and Architectures for Parallel Processing. ICA3PP 2019. pp. 89–104. Springer International Publishing (2020).

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18.

Schmidt, C., Huegle, J.: Towards a GPU-Accelerated Causal Inference. HPI Future SOC Lab - Proceedings 2017. pp. 187–194 (2020).

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19.

Dreseler, M., Boissier, M., Rabl, T., Uflacker, M.: Quantifying TPC-H Choke Points and Their Optimizations. Proceedings of the VLDB Endowment. pp. 1206–1220 (2020).

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20.

Matthies, C., Dobrigkeit, F.: Towards Empirically Validated Remedies for Scrum Retrospective Headaches. Proceedings of the 53rd Hawaii International Conference on System Sciences (HICSS) (2020).

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21.

Kossmann, J., Schlosser, R.: Self-driving database systems: a conceptual approach. Distributed and Parallel Databases. 38 (4), 795–817 (2020).

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22.

Perscheid, C.: Integrative Biomarker Detection on High-Dimensional Gene Expression Data Sets: A Survey on Prior Knowledge Approaches. Briefings in Bioinformatics. (2020).

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2019

Dreseler, M.: Storing STL Containers on NVM. Persistent Programming in Real Life (2019).

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Halfpap, S., Schlosser, R.: Workload-Driven Fragment Allocation for Partially Replicated Databases Using Linear Programming. IEEE 35th International Conference on Data Engineering (ICDE 2019). pp. 1746–1749 (2019).

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Kossmann, J., Schlosser, R.: A Framework for Self-Managing Database Systems. 2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW). pp. 100–106 (2019).

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De Paula, D., Dobrigkeit, F., Cormican, K.: Doing it Right - Critical Success Factors for Design Thinking Implementation. 1, 3851–3860 (2019).

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Dobrigkeit, F., de Paula, D.: Design thinking in practice: understanding manifestations of design thinking in software engineering. Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering - ESEC/FSE 2019. pp. 1059–1069. ACM Press, Tallinn, Estonia (2019).

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Schlosser, R., Richly, K.: Dynamic Pricing Competition with Unobservable Inventory Levels: A Hidden Markov Model Approach. Communications in Computer and Information Science. pp. 15–36. Springer (2019).

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Serth, S., Teusner, R., Renz, J., Uflacker, M.: Evaluating Digital Worksheets with Interactive Programming Exercises for K-12 Education. Proceedings of the 2019 IEEE Frontiers in Education Conference (FIE). IEEE (2019).

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Matthies, C.: Feedback in Scrum: Data-Informed Retrospectives. 2019 IEEE/ACM 41st International Conference on Software Engineering: Companion Proceedings (ICSE-Companion). pp. 198–201. IEEE (2019).

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Matthies, C., Dobrigkeit, F., Ernst, A.: Counteracting Agile Retrospective Problems with Retrospective Activities. In: Walker, A., O’Connor, R.V., and Messnarz, R. (eds.) Systems, Software and Services Process Improvement. EuroSPI 2019. Communications in Computer and Information Science. pp. 532–545. Springer International Publishing (2019).

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10.

Grasnick, B., Perscheid, C., Uflacker, M.: A Framework for the Automatic Combination and Evaluation of Gene Selection Methods. In: Fdez-Riverola, F., Mohamad, M.S., Rocha, M., Paz, J.F.D., and González, P. (eds.) 12th International Conference on Practical Applications of Computational Biology and Bioinformatics (PACBB) 2018. Springer (2019).

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11.

Schlosser, R.: Data-Driven Stochastic Dynamic Pricing and Ordering. Operations Research Proceedings 2018. pp. 397–403 (2019).

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12.

Schlosser, R., Walther, C., Boissier, M., Uflacker, M.: Automated Repricing and Ordering Strategies in Competitive Markets. AI Communications. 32, 15–29 (2019).

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13.

Dreseler, M., Kossmann, J., Boissier, M., Klauck, S., Uflacker, M., Plattner, H.: Hyrise Re-engineered: An Extensible Database System for Research in Relational In-Memory Data Management. 22nd International Conference on Extending Database Technology (EDBT). pp. 313–324 (2019).

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14.

Schlosser, R.: Stochastic Dynamic Pricing with Strategic Customers and Reference Price Effects. 8th International Conference on Operations Research and Enterprise Systems, ICORES 2019. pp. 179–188 (2019).

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15.

Halfpap, S., Schlosser, R.: A Comparison of Allocation Algorithms for Partially Replicated Databases. IEEE 35th International Conference on Data Engineering (ICDE 2019). pp. 2008–2011 (2019).

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16.

Schlosser, R., Kossmann, J., Boissier, M.: Efficient Scalable Multi-Attribute Index Selection Using Recursive Strategies. IEEE 35th International Conference on Data Engineering (ICDE 2019). pp. 1238–1249. IEEE (2019).

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17.

Schmidt, C., Uflacker, M.: Workload-Driven Data Placement for GPU-Accelerated Database Management Systems. Datenbanksysteme für Business, Technologie und Web BTW 2019, 18. Fachtagung des GI-Fachbereichs ,,Datenbanken und Informationssysteme" (DBIS), 4.-8. März 2019, Rostock, Germany, Workshopband (2019).

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18.

Boissier, M., Jendruk, M.: Workload-Driven and Robust Selection of Compression Schemes for Column Stores. 22nd International Conference on Extending Database Technology (EDBT). pp. 674–677 (2019).

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19.

Richly, K.: Optimized Spatio-Temporal Data Structures for Hybrid Transactional and Analytical Workloads on Columnar In-Memory Databases. Proceedings of the VLDB 2019 PhD Workshop, co-located with the 45th International Conference on Very Large Databases (VLDB 2019). (2019).

[ BibTeX ]

20.

Matthies, C., Dobrigkeit, F., Hesse, G.: An Additional Set of (Automated) Eyes: Chatbots for Agile Retrospectives. IEEE/ACM International Workshop on Bots in Software Engineering (BotSE). pp. 34–37. IEEE (2019).

[ BibTeX ] [ URL ] [ Download ]

21.

Klauck, S., Plauth, M., Knebel, S., Strobl, M., Santry, D., Eggert, L.: Eliminating the Bandwidth Bottleneck of Central Query Dispatching Through TCP Connection Hand-Over. Datenbanksysteme für Business, Technologie und Web (BTW), 18. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS). pp. 97–106 (2019).

[ BibTeX ] [ URL ]

22.

Perscheid, C., Uflacker, M.: Integrating Biological Context into the Analysis of Gene Expression Data. In: Rodríguez, S., Prieto, J., Faria, P., Kłos, S., Fernández, A., Mazuelas, S., Jiménez-López, M.D., Moreno, M.N., and Navarro, E.M. (eds.) Distributed Computing and Artificial Intelligence, Special Sessions, 15th International Conference. pp. 339–343. Springer International Publishing, Cham (2019).

[ BibTeX ]

23.

Matthies, C., Huegle, J., Dürschmid, T., Teusner, R.: Attitudes, Beliefs, and Development Data Concerning Agile Software Development Practices. 2019 IEEE/ACM 41st International Conference on Software Engineering: Software Engineering Education and Training (ICSE-SEET). pp. 158–169. IEEE (2019).

[ BibTeX ] [ URL ] [ Download ]

24.

Hesse, G., Matthies, C., Sinzig, W., Uflacker, M.: Adding Value by Combining Business and Sensor Data: An Industry 4.0 Use Case. In: Li, G., Yang, J., Gama, J., Natwichai, J., and Tong, Y. (eds.) International Conference on Database Systems for Advanced Applications (DASFAA). pp. 528–532. Springer International Publishing (2019).

[ BibTeX ] [ URL ] [ Download ]

25.

Hesse, G., Matthies, C., Glass, K., Huegle, J., Uflacker, M.: Quantitative Impact Evaluation of an Abstraction Layer for Data Stream Processing Systems. IEEE International Conference on Distributed Computing Systems (ICDCS). pp. 1381–1392 (2019).

[ BibTeX ] [ URL ] [ Download ]

26.

Schlosser, R., Richly, K.: Dynamic Pricing under Competition with Data-Driven Price Anticipations and Endogenous Reference Price Effects. Journal of Revenue & Pricing Management. 18, 451–464 (2019).

[ BibTeX ]

27.

Hesse, G., Sinzig, W., Matthies, C., Uflacker, M.: Application of Data Stream Processing Technologies in Industry 4.0: What is Missing?. International Conference on Data Science, Technology and Applications (DATA). pp. 304–310. SciTePress (2019).

[ BibTeX ] [ URL ] [ Download ]

28.

Matthies, C., Hesse, G.: Towards Using Data to Inform Decisions in Agile Software Development: Views of Available Data. International Conference on Software Technologies (ICSOFT). pp. 552–559. SciTePress (2019).

[ BibTeX ] [ URL ] [ Download ]

29.

Schmidt, C., Huegle, J., Bode, P., Uflacker, M.: Load-Balanced Parallel Constraint-Based Causal Structure Learning on Multi-Core Systems for High-Dimensional Data. SIGKDD Workshop on Causal Discovery. pp. 59–77 (2019).

[ BibTeX ] [ URL ]

30.

Halfpap, S.: Efficient Scale-Out Using Query-Driven Workload Distribution and Fragment Allocation. Proceedings of the VLDB 2019 PhD Workshop co-located with the 45th International Conference on Very Large Databases (VLDB 2019) (2019).

[ BibTeX ] [ URL ]

31.

Matthies, C.: Agile Process Improvement in Retrospectives. 2019 IEEE/ACM 41st International Conference on Software Engineering: Companion Proceedings (ICSE-Companion). pp. 150–152. IEEE (2019).

[ BibTeX ] [ URL ] [ Download ]

2018

Dreseler, M., Gasda, T., Kossmann, J., Uflacker, M., Plattner, H.: Adaptive Access Path Selection for Hardware-Accelerated DRAM Loads. Australasian Database Conference (ADC) (2018).

[ BibTeX ] [ Download ]

Menning, A., Grasnick, B.M., Ewald, B., Dobrigkeit, F., Nicolai, C.: Verbal focus shifts: Forms of low coherent statements in design conversations. Design Studies. 57, 135–155 (2018).

[ BibTeX ]

Teusner, R., Matthies, C., Staubitz, T.: What Stays in Mind? - Retention Rates in Programming MOOCs. 2018 IEEE Frontiers in Education Conference (FIE) (2018).

[ BibTeX ] [ URL ] [ Download ]

@inproceedings{teusner2018stays,
  abstract = {This work presents insights about the long-term effects and retention rates of knowledge acquired within MOOCs. In 2015 and 2017, we conducted two introductory MOOCs on object-oriented programming in Java with each over 10,000 registered participants. In this paper, we analyze course scores, quiz results and self-stated skill levels of our participants. The aim of our analysis is to uncover factors influencing the retention of acquired knowledge, such as time passed or knowledge application, in order to improve long-term success. While we know that some participants learned the programming basics within our course, we lack information on whether this knowledge was applied and fortified after the course's end. To fill this knowledge gap, we conducted a survey in 2018 among all participants of our 2015 and 2017 programming MOOCs. The first part of the survey elicits responses on whether and how MOOC knowledge was applied and gives participants opportunity to voice individual feedback. The second part of the survey contains several questions of increasing difficulty and complexity regarding course content in order to learn about the consolidation of the acquired knowledge. We distinguish three programming knowledge areas in the survey: First, understanding of concepts, such as loops and boolean algebra. Second, syntax knowledge, such as specific keywords. Third, practical skills including debugging and coding. We further analyzed the long-term effects separately per participant skill group. While answer rates were low, the collected data shows a decrease of knowledge over time, relatively unaffected by skill level. Application of the acquired knowledge improves the memory retention rates of MOOC participants across all skill levels.},
  author = {Teusner, Ralf and Matthies, Christoph and Staubitz, Thomas},
  booktitle = {2018 IEEE Frontiers in Education Conference (FIE)},
  keywords = {myown},
  title = {What Stays in Mind? - Retention Rates in Programming MOOCs},
  year = 2018
}

Kossmann, J.: Self-Driving: From General Purpose to Specialized DBMSs. Proceedings of the VLDB 2018 PhD Workshop co-located with the 44th International Conference on Very Large Databases (VLDB 2018), Rio de Janeiro, Brasil, Aug 27-31, 2018 (2018).

[ BibTeX ] [ URL ]

Perscheid, C., Faber, L., Kraus, M., Arndt, P., Janke, M., Rehfeldt, S., Schubotz, A., Slosarek, T., Uflacker, M.: A Tissue-aware Gene Selection Approach for Analyzing Multi-tissue Gene Expression Data. The 9th Workshop on Integrative Data Analysis in Systems Biology (IDASB), IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2018).

[ BibTeX ]

Dobrigkeit, F., de Paula, D., Uflacker, M.: Breaks with a Purpose. Design Thinking Research. pp. 59–76. Springer (2018).

[ BibTeX ]

Perscheid, C., Grasnick, B., Uflacker, M.: Integrative Gene Selection on Gene Expression Data: Providing Biological Context to Traditional Approaches. Journal of Integrative Bioinformatics. (2018).

[ BibTeX ]

Paula, D. de, Dobrigkeit, F., Cormican, K., others: From team collaboration to product success-the domino effect of design thinking. DS 91: Proceedings of NordDesign 2018, Linköping, Sweden, 14th-17th August 2018. (2018).

[ BibTeX ]

De Paula, D., Dobrigkeit, F., Cormican, K.: DESIGN THINKING CAPABILITY MODEL (DTCM): A FRAMEWORK TO MAP OUT DESIGN THINKING CAPACITY IN BUSINESS ORGANISATIONS. Presented at the (2018).

[ BibTeX ] [ URL ]

10.

Teusner, R., Hille, T., Staubitz, T.: Effects of Automated Interventions in Programming Assignments: Evidence from a Field Experiment. L@S 2018: Fifth Annual ACM Conference on Learning at Scale (2018).

[ BibTeX ] [ URL ] [ Download ]

11.

Dobrigkeit, F., de Paula, D., Uflacker, M.: InnoDev - A Software Development Methodology Integrating Design Thinking, Scrum and Lean Startup. In: Plattner, H., Meinel, C., and Leifer, L. (eds.) Design Thinking - Research Looking Further: Design Thinking Beyond Solution-Fixation. pp. 199–228. Springer (2018).

[ BibTeX ]

12.

Dobrigkeit, F., Wilson, M., Nicolai, C., others: Adding Scrum-style project management to an advanced Design Thinking class. DS 91: Proceedings of NordDesign 2018, Linköping, Sweden, 14th-17th August 2018. (2018).

[ BibTeX ]

13.

Richly, K.: A survey on trajectory data management for hybrid transactional and analytical workloads. 2018 IEEE International Conference on Big Data (Big Data). pp. 562–569. IEEE (2018).

[ BibTeX ]

14.

Teusner, R., Hille, T.: On the Impact of Programming Exercise Descriptions. Proceedings of the 2018 Learning With MOOCS (LWMOOCS2018). pp. 51–54. IEEE (2018).

[ BibTeX ] [ URL ] [ Download ]

15.

Boissier, M.: Reducing the Footprint of Main Memory HTAP Systems: Removing, Compressing, Tiering, and Ignoring Data. PhD Workshop at VLDB. CEUR-WS.org (2018).

[ BibTeX ] [ Download ]

16.

Richly, K.: Leveraging Spatio-Temporal Soccer Data to Define a Graphical Query Language for Game Recordings. 2018 IEEE International Conference on Big Data (Big Data). pp. 3456–3463. IEEE (2018).

[ BibTeX ]

17.

Matthies, C.: Scrum2Kanban: Integrating Kanban and Scrum in a University Software Engineering Capstone Course. Proceedings of the 2nd International Workshop on Software Engineering Education for Millennials. pp. 48–55. ACM, New York, NY, USA (2018).

[ BibTeX ] [ URL ] [ Download ]

18.

Podlesny, N.J., Kayem, A.V.D.M., von Schorlemer, S., Uflacker, M.: Minimising Information Loss on Anonymised High Dimensional Data with Greedy In-Memory Processing. 29th International Conference on Database and Expert Systems Applications - DEXA 2018 (2018).

[ BibTeX ]

19.

Hesse, G., Reissaus, B., Matthies, C., Lorenz, M., Kraus, M., Uflacker, M.: Senska - Towards an Enterprise Streaming Benchmark. TPC Technology Conference (TPCTC). pp. 25–40. , Cham (2018).

[ BibTeX ] [ Download ]

20.

Boissier, M., Schlosser, R., Uflacker, M.: Hybrid Data Layouts for Tiered HTAP Databases with Pareto-Optimal Data Placements. IEEE 34th International Conference on Data Engineering (ICDE 2018). pp. 209–220 (2018).

[ BibTeX ] [ Download ]

21.

Matthies, C., Teusner, R., Hesse, G.: Beyond Surveys: Analyzing Software Development Artifacts to Assess Teaching Efforts. IEEE Frontiers in Education Conference (FIE). pp. 1–9 (2018).

[ BibTeX ] [ URL ] [ Download ]

22.

Schlosser, R.: Stochastic Dynamic Multi-Product Pricing under Competition. Operations Research Proceedings 2017. pp. 527–533 (2018).

[ BibTeX ]

23.

Schmidt, C., Huegle, J., Uflacker, M.: Order-independent constraint-based causal structure learning for gaussian distribution models using GPUs. SSDBM ’18 Proceedings of the 30th International Conference on Scientific and Statistical Database Management. pp. 19:1–19:10. ACM, New York, NY, USA (2018).

[ BibTeX ] [ URL ] [ Download ]

24.

Hiller, J., Kimmerlin, M., Plauth, M., Heikkila, S., Klauck, S., Lindfors, V., Eberhardt, F., Bursztynowski, D., Santos, J.L., Hohlfeld, O., Wehrle, K.: Giving Customers Control over Their Data: Integrating a Policy Language into the Cloud. 2018 IEEE International Conference on Cloud Engineering (IC2E) (2018).

[ BibTeX ] [ Download ]

@inproceedings{Hiller2018-246,
  abstract = {Cloud computing offers the potential to store, manage, and process data in highly available, scalable, and elastic environments. Yet, these environments still provide very limited and inflexible means for customers to control their data. For example, customers can neither specify security of inter-cloud communication bearing the risk of information leakage, nor comply with laws requiring data to be kept in the originating jurisdiction, nor control sharing of data with third parties on a fine-granular basis. This lack of control can hinder cloud adoption for data that falls under regulations. In this paper, we show in six use cases how cloud environments can be enriched with policy language support to give customers control over cloud data. Our use cases are based on realizing policy language support in all three cloud environment layers, i.e., IaaS, PaaS, and SaaS. Specifically, we present policy-aware resource management (with OpenStack) and dynamic network configuration. With CERN's big data storage and the in-memory database Hyrise, we show realization for storage and further exemplify policy-aware cloud processing by network function virtualization which enables Orange to offload customer home gateways to the cloud. Finally, we discuss benefits of policy support in F-Secure's Security Cloud. These use cases show the feasibility of realizing customer control with policy support in the cloud. Thus, our work enables customers with regulated data to tap cloud benefits and significantly broadens the market for cloud providers.},
  author = {Hiller, Jens and Kimmerlin, Mael and Plauth, Max and Heikkila, Seppo and Klauck, Stefan and Lindfors, Ville and Eberhardt, Felix and Bursztynowski, Dariusz and Santos, Jesus Llorente and Hohlfeld, Oliver and Wehrle, Klaus},
  booktitle = {2018 IEEE International Conference on Cloud Engineering (IC2E)},
  keywords = {cloud_computing in-memory_database policy_language},
  title = {Giving Customers Control over Their Data: Integrating a Policy Language into the Cloud},
  year = 2018
}

25.

Schlosser, R., Boissier, M.: Optimal Repricing Strategies in a Stochastic Infinite Horizon Duopoly. Communications in Computer and Information Science (CCIS). pp. 129–150. Springer (2018).

[ BibTeX ] [ Download ]

26.

Schlosser, R., Richly, K.: Dynamic Pricing Strategies in a Finite Horizon Duopoly with Partial Information. 7th International Conference on Operations Research and Enterprise Systems, ICORES 2018. pp. 21–30 (2018).

[ BibTeX ]

27.

Perscheid, C., Benzler, J., Hermann, C., Janke, M., Moyer, D., Laedtke, T., Adeoye, O., Denecke, K., Kirchner, G., Beerman, S., Schwarz, N., Tom-Aba, D., Krause, G.: Ebola Outbreak Containment: Real-Time Task and Resource Coordination With SORMAS. Frontiers in ICT. 5, 7 (2018).

[ BibTeX ] [ URL ]

@article{perscheid2018ebola,
  abstract = {Background: Since the beginning of the Ebola outbreak in West Africa in 2014, more than 11,000 people died. For outbreaks of infectious diseases like this, the rapid implementation of control measures is a crucial factor for containment. In West African countries, outbreak surveillance is a paper-based process with significant delays in forwarding outbreak information, which affects the ability to react adequately to situational changes. Our objective therefore was to develop a tool that improves data collection, situation assessment, and coordination of response measures in outbreak surveillance processes for a better containment. Methods: We have developed the Surveillance and Outbreak Response Management System (SORMAS) based on findings from Nigeria's 2014 Ebola outbreak. We conducted a thorough requirements engineering and defined personas and processes. We also defined a data schema with specific variables to measure in outbreak situations. We designed our system to be a cloud application that consists of interfaces for both mobile devices and desktop computers to support all stakeholders in the process. In the field, health workers collect data on the outbreak situation via mobile applications and directly transmit it to control centers. At the control centers, health workers access SORMAS via desktop computers, receive instant updates on critical situations, react immediately on emergencies, and coordinate the implementation of control measures with SORMAS. Results: We have tested SORMAS in multiple workshops and a field study in July 2015. Results from workshops confirmed derived requirements and implemented features, but also led to further iterations on the systems regarding usability. Results from the field study are currently under assessment. General feedback showed high enthusiasm about the system and stressed its benefits for an effective outbreak containment of infectious diseases. Conclusions: SORMAS is a software tool to support health workers in efficiently handling outbreak situations of infectious diseases, such as Ebola. Our tool enables a bi-directional exchange of situational data between individual stakeholders in outbreak containment. This allows instant and seamless collection of data from the field and its instantaneous analysis in operational centers. By that, SORMAS accelerates the implementation of control measures, which is crucial for a successful outbreak containment.},
  author = {Perscheid, Cindy and Benzler, Justus and Hermann, Claus and Janke, Michael and Moyer, David and Laedtke, Todd and Adeoye, Olawunmi and Denecke, Kerstin and Kirchner, Göran and Beerman, Sandra and Schwarz, Norbert and Tom-Aba, Daniel and Krause, Gérard},
  journal = {Frontiers in ICT},
  keywords = {Ebola_surveillance_process cp epidemiology healthcare infectious_diseases mobile_applications requirements_engineering},
  month = {April},
  pages = 7,
  title = {Ebola Outbreak Containment: Real-Time Task and Resource Coordination With SORMAS},
  volume = 5,
  year = 2018
}

28.

Ruhrländer, R.P., Boissier, M., Uflacker, M.: Improving Box Office Result Predictions for Movies Using Consumer-Centric Models. KDD ’18 Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. pp. 655–664 (2018).

[ BibTeX ] [ Download ]

29.

Kossmann, J., Dreseler, M., Gasda, T., Uflacker, M., Plattner, H.: Visual Evaluation of SQL Plan Cache Algorithms. Australasian Database Conference (ADC) (2018).

[ BibTeX ] [ Download ]

30.

Schlosser, R., Boissier, M.: Dealing with the Dimensionality Curse in Dynamic Pricing Competition: Using Frequent Repricing to Compensate Imperfect Market Anticipations. Computers and Operations Research. 100, 26–42 (2018).

[ BibTeX ] [ Download ]

31.

Dreseler, M., Kossmann, J., Frohnhofen, J., Uflacker, M., Plattner, H.: Fused Table Scans: Combining AVX-512 and JIT to Double the Performance of Multi-Predicate Scans. Joint Workshop of HardBD (International Workshop on Big Data Management on Emerging Hardware) and Active (Workshop on Data Management on Virtualized Active Systems), in conjunction with ICDE (2018).

[ BibTeX ] [ Download ]

32.

Boissier, M., Kurzynski, D.: Workload-Driven Horizontal Partitioning and Partition Pruning for Large HTAP Systems. 2018 IEEE 34th International Conference on Data Engineering Workshops. pp. 116–121 (2018).

[ BibTeX ] [ Download ]

33.

Schmidt, C., Dreseler, M., Akin, B., Roy, A.: A Case for Hardware-Supported Sub-Cache Line Accesses. Data Management on New Hardware (DaMoN), in conjunction with SIGMOD (2018).

[ BibTeX ] [ Download ]

34.

Schlosser, R., Walther, C., Boissier, M., Uflacker, M.: Data-Driven Inventory Management and Dynamic Pricing Competition on Online Marketplaces. Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI 2018). pp. 5856–5858 (2018).

[ BibTeX ] [ Download ]

35.

Schlosser, R., Boissier, M.: Dynamic Pricing under Competition on Online Marketplaces: A Data-Driven Approach. KDD ’18 Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. pp. 705–714 (2018).

[ BibTeX ] [ Download ]

36.

Matthies, C.: Relying on Development Data for Software Development Processes. In: Meinel, C., Plattner, H., Döllner, J., Weske, M., Polze, A., Hirschfeld, R., Naumann, F., Giese, H., Baudisch, P., Friedrich, T., and Müller, E. (eds.) Proceedings of the 10th Ph. D. Retreat of the HPI Research School on Service-oriented Systems Engineering. pp. 161–170. Universitätsverlag Potsdam, Potsdam, Germany (2018).

[ BibTeX ] [ URL ] [ Download ]

2017

Kraus, M., Niedermeier, J., Jankrift, M., Tietboehl, S., Stachewicz, T., Folkerts, H., Uflacker, M., Neves, M.: Olelo: a web application for intuitive exploration of biomedical literature. Nucleic acids research. (2017).

[ BibTeX ]

Uflacker, M., Schlosser, R., Meinel, C.: Ertragsmanagement im Wandel - Potentiale der In-Memory Technologie. In: Gläß, R. and Leukert, B. (eds.) Handel 4.0: Die Digitalisierung des Handels. Strategien, Technologien, Transformation. pp. 177–190. Springer Gabler (2017).

[ BibTeX ]

Teusner, R., Wittstruck, N., Staubitz, T.: Video Conferencing as a Peephole to MOOC Participants. 2017 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE). IEEE (2017).

[ BibTeX ] [ URL ] [ Download ]

Teusner, R., Hille, T., Hagedorn, C.: Aspects on Finding the Optimal Practical Programming Exercise for MOOCs. Proceedings of the 47th Annual Frontiers in Education (FIE) Conference. IEEE (2017).

[ BibTeX ] [ Download ]

@inproceedings{teusner2017aspects,
  abstract = {Massive Open Online Courses (MOOCs) focus on manifold subjects, ranging from social sciences over languages to technical skills, and use different means to train the respective skills. MOOCs that are teaching programming skills aim to incorporate practical exercises into the course corpus to give students the hands-on experience necessary for understanding and mastering programming. These exercises, apart from technical challenges, come with a series of questions to be addressed, for example: which fraction of the participants' time should they take (compared to video lectures and other course activities), which difficulty should be aimed for, how much guidance should be offered and how much repetition should be incorporated? The perceived difficulty of a task depends on previous knowledge, supplied hints, the required time for solving and the number of failed attempts the participant made. Furthermore, the detail and accuracy of the problem description, the restrictiveness of the applied test cases and the preparation provided specifically for a given exercise also influence the perceived difficulty of a task. In this paper, we explore the data of three programming courses to find criteria for optimal practical programming exercises. Based on over 3 million executions and scoring runs of participants' task submissions, we aim to deduct exercise difficulty, student patterns in approaching the tasks and potential flaws in task descriptions and preparatory videos. We compare our findings to in class trainings and traditional, mostly video and quiz based MOOCs. Finally, we propose approaches and methods to improve programming courses for participants as well as instructors.},
  author = {Teusner, Ralf and Hille, Thomas and Hagedorn, Christiane},
  booktitle = {Proceedings of the 47th Annual Frontiers in Education (FIE) Conference},
  keywords = {MOOC exercise programming},
  month = {oct},
  publisher = {IEEE},
  title = {Aspects on Finding the Optimal Practical Programming Exercise for MOOCs},
  year = 2017
}

Treffer, A., Uflacker, M.: Back-in-Time Debugging in Heterogeneous Software Stacks. 2017 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW). IEEE (2017).

[ BibTeX ] [ URL ]

Treffer, A., Perscheid, M., Uflacker, M.: Bringing back-in-time debugging down to the database. 2017 IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER). IEEE (2017).

[ BibTeX ] [ URL ]

Klauck, S.: Scalability, Availability, and Elasticity through Database Replication in Hyrise-R. Proceedings of the 4th HPI Cloud Symposium “Operating the Cloud” 2016. pp. 1–10 (2017).

[ BibTeX ] [ URL ]

Teusner, R., Rollmann, K.-A., Renz, J.: Taking Informed Action on Student Activity in MOOCs. Proceedings of the Fourth (2017) ACM Conference on Learning @ Scale. pp. 149–152. ACM, New York, NY, USA (2017).

[ BibTeX ] [ URL ] [ Download ]

Matthies, C., Treffer, A., Uflacker, M.: Prof. CI: Employing Continuous Integration Services and GitHub Workflows to Teach Test-Driven Development. 2017 IEEE Frontiers in Education Conference (FIE). pp. 1–8 (2017).

[ BibTeX ] [ URL ] [ Download ]

@inproceedings{matthies2017fie,
  abstract = {Teaching programming using Massive Open Online Courses (MOOCs) is gaining popularity due to their scalability and efficiency of knowledge distribution. However, participating in these courses usually means fully committing to the supplied programming environment in the browser. While this allows a consistent and controllable setup, learners do not gain experience with actual development tools, such as local code editors, testing frameworks, issue trackers or continuous integration (CI) services, which is critical for subsequent real-world projects. Furthermore, the tests for the functionality that is to be developed are oftentimes already available in MOOCs and simply need to be executed, leading to less involvement with developing appropriate tests. In order to tackle these issues while maintaining a high degree of automation and scalability, we developed Prof. CI, a novel approach to conducting online exercises. Prof. CI leverages the existing automation infrastructure that developers use daily, i.e. CI services and Github workflows, to teach test-driven development (TDD) practices. Participants work on their own repositories in Github and receive feedback and new challenges from the CI server when they push their code. We have successfully applied this approach in a pilot project with 30 undergraduate students learning the Ruby on Rails web development framework. Our evaluation shows that the exercise effectively increased students' motivation to write tests for their code. We also present the results of participant surveys, students' experiences and teachers' observations.},
  author = {Matthies, Christoph and Treffer, Arian and Uflacker, Matthias},
  booktitle = {2017 IEEE Frontiers in Education Conference (FIE)},
  keywords = {Course Education Introduction Programming Test-Driven-Development},
  month = {Oct.},
  pages = {1-8},
  title = {Prof. CI: Employing Continuous Integration Services and GitHub Workflows to Teach Test-Driven Development},
  year = 2017
}

10.

Dobrigkeit, F., de Paula, D.F.O.: The Best Of Three Worlds - The Creation Of InnoDev a Software Development Approach that Integrates Design Thinking, Scrum and Lean Startup. Proceedings of the 21st International Conference on Engineering Design (ICED17), Vol. 8: Human Behaviour in Design. pp. 319–328. , Vvancouver, Canada (2017).

[ BibTeX ]

11.

Menning, A., Grasnick, B.M., Ewald, B., Dobrigkeit, F., Nicolai, C.: Combining computational and human analysis to study low coherence in design conversations. Analysing Design Thinking: Studies of Cross-Cultural Co-Creation. 291 (2017).

[ BibTeX ]

12.

Staubitz, T., Teusner, R., Meinel, C.: openHPI’s Coding Tool Family: CodeOcean, CodeHarbor, CodePilot. Automatische Bewertung von Programmieraufgaben (ABP) (2017).

[ BibTeX ] [ URL ]

13.

Menning, A., Grasnick, B.M., Ewald, B., Dobrigkeit, F., Nicolai: Combining Computational and Human Analysis to Study Low Coherence in Design Conversations. In: Christensen, B.T., Ball, L.J., and Halskov, K. (eds.) Analysing Design Thinking: Studies of Cross-Cultural Co-Creation. pp. 291–309. CRC Press, Leiden,The Netherlands : {CRC} Press/Balkema, [2017] (2017).

[ BibTeX ] [ URL ]

14.

Schapranow, M.-P.: Die digitale Transformation mitgestalten — Der Datenspendeausweis: Souveräner Umgang mit persönlichen Gesundheitsdaten. Plattform Life Sciences. 38–39 (2017).

[ BibTeX ]

15.

Boissier, M., Spivak, A., Meyer, C.: Improving Materialization for Tiered Column Stores: A Workload-Aware Ansatz Based on Table Reordering. ACSW ’17 Proceedings of the Australasian Computer Science Week Multiconference, ACSW ’17. pp. 25:1–25:10. ACM, New York, NY, USA (2017).

[ BibTeX ] [ Download ]

16.

[ BibTeX ]

17.

Hesse, G., Matthies, C., Reissaus, B., Uflacker, M.: A New Application Benchmark for Data Stream Processing Architectures in an Enterprise Context: Doctoral Symposium. ACM International Conference on Distributed and Event-based Systems (DEBS). pp. 359–362 (2017).

[ BibTeX ] [ Download ]

18.

Schwarz, C., Schmidt, C.: Interactive Product Cost Simulation on Coprocessors. HPI Future SOC Lab: Proceedings 2015. pp. 103–107 (2017).

[ BibTeX ]

19.

Folkerts, H., Neves, M.: Olelo’s named-entity recognition web service in the BeCalm TIPS task. BeCalm Workshop (2017).

[ BibTeX ]

20.

Richly, K., Moritz, F., Schwarz, C.: Utilizing Artificial Neural Networks to Detect Compound Events in Spatio-Temporal Soccer Data. SIGKDD’17 Workshop on Mining and Learning from Time Series (MiLeTS) (2017).

[ BibTeX ]

21.

Serth, S., Podlesny, N., Bornstein, M., Lindemann, J., Latt, J., Selke, J., Schlosser, R., Boissier, M., Uflacker, M.: An Interactive Platform to Simulate Dynamic Pricing Competition on Online Marketplaces. 21st IEEE International Enterprise Distributed Object Computing Conference, EDOC 2017, Quebec City, QC, Canada, October 10-13, 2017. pp. 61–66. IEEE (2017).

[ BibTeX ] [ Download ]

22.

Boissier, M., Schlosser, R., Podlesny, N., Serth, S., Bornstein, M., Latt, J., Lindemann, J., Selke, J., Uflacker, M.: Data-Driven Repricing Strategies in Competitive Markets: An Interactive Simulation Platform. Proceedings of the Eleventh ACM Conference on Recommender Systems (RecSys ’17). pp. 355–357. ACM, New York, NY, USA (2017).

[ BibTeX ] [ Download ]

23.

Schapranow, M.-P., Brauer, J., Plattner, H.: The Data Donation Pass: Enabling Sovereign Control of Personal Healthcare Data. Proceedings of the World Congress in Computer Science, Computer Engineering, and Applied Computing. CSCE (2017).

[ BibTeX ]

24.

Dreseler, M., Kissinger, T., Djürken, T., Eric, L., Uflacker, M., Habich, D., Plattner, H., Lehner, W.: Hardware-Accelerated Memory Operations on Large-Scale NUMA Systems. Eighth International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures (ADMS), in conjunction with VLDB (2017).

[ BibTeX ] [ Download ]

25.

Neves, M., Folkerts, H., Jankrift, M., Niedermeier, J., Stachewicz, T., Tietböhl, S., Kraus, M., Uflacker, M.: Olelo: A Question Answering Application for Biomedicine. ACL’17 Demo (2017).

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26.

Lorenz, M., Rudolph, J.-P., Hesse, G., Uflacker, M., Plattner, H.: Object-Relational Mapping Revisited - A Quantitative Study on the Impact of Database Technology on O/R Mapping Strategies. Hawaii International Conference on System Sciences (HICSS). pp. 4877–4886 (2017).

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27.

Teusner, R., Matthies, C., Giese, P.: Should I Bug You? Identifying Domain Experts in Software Projects Using Code Complexity Metrics. 2017 IEEE International Conference on Software Quality, Reliability and Security (QRS). pp. 418–425 (2017).

[ BibTeX ] [ URL ] [ Download ]

28.

Seiffert, M., Holstein, F., Schlosser, R., Schiller, J.: Next Generation Cooperate Wearables: Generalized Activity Assessment Computed Fully Distributed Within a Wireless Body Area Network. IEEE Access Journal. 5, 16793–16807 (2017).

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29.

Kraus, M., Schapranow, M.-P.: An In-Memory Database Platform for Systems Medicine. Proceedings of the International Conference on Bioinformatics and Computational Biology. pp. 93–100. The International Society for Computers and Their Applications (ISCA) (2017).

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30.

Habibi, M., Weber, L., Neves, M., Wiegandt, D., Leser, U.: Deep Learning with Word Embeddings improves Biomedical Named Entity Recognition. ISMB/ECCB (2017).

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31.

Neves, M.: A parallel collection of clinical trials in Portuguese and English. 10th Workshop on Building and Using Comparable Corpora (BUCC) at ACL’17 (2017).

[ BibTeX ]

32.

Neves, M., Eckert, F., Folkerts, H., Uflacker, M.: Assessing the performance of Olelo, a real-time biomedical question answering application. Biomedical Natural Language Processing (BioNLP) Workshop at ACL’17 (2017).

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33.

Wiese, G., Weissenborn, D., Neves, M.: Neural Question Answering at BioASQ 5B. Biomedical Natural Language Processing (BioNLP) Workshop at ACL’17. (2017).

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34.

Staubitz, T., Teusner, R., Meinel, C.: Towards a Repository for Open Auto-Gradable Programming Exercises. 2017 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) (2017).

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2016

Cruz, H.F.D., Grasnick, B., Dinger, H., Bier, F., Meinel, C.: Early Detection of Acute Kidney Injury with Bayesian Networks. Proceedings of the 7th International Symposium on Semantic Mining in Biomedicine. pp. 29–36 (2016).

[ BibTeX ]

Schulze, F., Neves, M.: Entity-Supported Summarization of Biomedical Abstracts. Fifth Workshop on Building and Evaluating Resources for Biomedical Text Mining at the 26th International Conference on Computational Linguistics (Coling) (2016).

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Matthies, C., Kowark, T., Uflacker, M., Plattner, H.: Agile Metrics for a University Software Engineering Course. 2016 IEEE Frontiers in Education Conference (FIE). pp. 1–5. IEEE (2016).

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Schapranow, M.-P.: Die In-Memory-Technologie in der personalisierten Medizin, https://news.sap.com/germany/die-in-memory-technologie-in-der-personalisierten-medizin/, (2016).

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Schapranow, M.-P.: Datenspendeausweis für Bürger: Ein Plädoyer für mündige Patienten, die die eigenen Gesundheitsdaten am besten verstehen. Management & Krankenhaus. (2016).

[ BibTeX ]

Richly, K., Lorenz, M., Oergel, S.: S4J - Integrating SQL into Java at Compiler-Level. To appear in Information and Software Technologies - 22st International Conference, ICIST 2016, Proceedings (Springer - Communications in Computer and Information Science) (2016).

[ BibTeX ]

Rueckert, L.: Real-time Exploration of Healthcare Data using In-Memory Database Technology, (2016).

[ BibTeX ]

Postel, M.: Geographical Exploration of Key Performance Indicators for Elderly Care Planning, (2016).

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Schlosser, R.: Stochastic Dynamic Multi-Product Pricing with Dynamic Advertising and Adoption Effects. Journal of Revenue and Pricing Management. 15, 153–169 (2016).

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10.

Meyer, S., Haeger, F., Uflacker, M.: FINDING THE APPROPRIATE TEST CONTEXT FOR MOBILE APPLICATION PROTOTYPES-A DECISION MODEL BASED ON A CASE STUDY. DS 84: Proceedings of the DESIGN 2016 14th International Design Conference (2016).

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11.

Neves, M., Yepes, A.J., Névéol, A.: The Scielo Corpus: a Parallel Corpus of Scientific Publications for Biomedicine. Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016). European Language Resources Association (ELRA) (2016).

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12.

Meyer, S., Haeger, F., Uflacker, M.: Enhancing Early Mobile Prototype Testing: Requirements Analysis through Interviews and a System Design. (2016).

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13.

Kowark, T., Matthies, C., Uflacker, M., Plattner, H.: Lightweight Collection and Storage of Software Repository Data with DataRover. Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering. pp. 810–815. ACM, New York, NY, USA (2016).

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14.

Haeger, F., Uflacker, M.: Time Management Practice in educational Design Thinking Projects. DS 85-2: Proceedings of NordDesign 2016, Volume 2. pp. 319–328. , Trondheim, Norway (2016).

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15.

Matthies, C., Kowark, T., Richly, K., Uflacker, M., Plattner, H.: How Surveys, Tutors, and Software Help to Assess Scrum Adoption in a Classroom Software Engineering Project. Proceedings of the 38th International Conference on Software Engineering Companion. pp. 313–322. ACM, New York, NY, USA (2016).

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16.

Bojar, O., Chatterjee, R., Federmann, C., Graham, Y., Haddow, B., Huck, M., Yepes, A.J., Koehn, P., Logacheva, V., Monz, C., Negri, M., Neveol, A., Neves, M., Popel, M., Post, M., Rubino, R., Scarton, C., Specia, L., Turchi, M., Verspoor, K., Zampieri, M.: Findings of the 2016 Conference on Machine Translation. Proceedings of the First Conference on Machine Translation (WMT16) at the Conference of the Association of Computational Linguistics. pp. 131–198 (2016).

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17.

Matthies, C., Kowark, T., Richly, K., Uflacker, M., Plattner, H.: ScrumLint: Identifying Violations of Agile Practices Using Development Artifacts. Proceedings of the 9th International Workshop on Cooperative and Human Aspects of Software Engineering. pp. 40–43. ACM, New York, NY, USA (2016).

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18.

Richly, K., Teusner, R.: Where is the Money Made? An Interactive Visualization of Profitable Areas in New York City. The 2nd EAI International Conference on IoT in Urban Space (Urb-IoT) (2016).

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19.

Richly, K., Teusner, R.: Where is the Money Made? An Interactive Visualization of Profitable Areas in New York City. The 2nd EAI International Conference on IoT in Urban Space (Urb-IoT) (2016).

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20.

Lorenz, M., Hesse, G., Rudolph, J.-P.: Object-relational Mapping Revised - Guideline Review and Consolidation. International Joint Conference on Software Technologies (ICSOFT). pp. 157–168 (2016).

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21.

Horschig, F.: Prediction of Health Research Data using In-Memory Database Technology. (2016).

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22.

Schapranow, M.-P., Kraus, M., Danner, M., Plattner, H.: IMDBfs: Bridging the Gap between In-Memory Database Technology and File-Based Tools for Life Sciences. Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine. pp. 1133–1139. IEEE (2016).

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23.

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24.

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25.

Schlosser, R.: Stochastic Dynamic Multi-Product Pricing with Dynamic Advertising and Adoption Effects. Journal of Revenue and Pricing Management. 15, 153–169 (2016).

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26.

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27.

Schwarz, C., Schmidt, C., Hopstock, M., Sinzig, W., Plattner, H.: Efficient Calculation and Simulation of Product Cost Leveraging In-Memory Technology and Coprocessors. The Sixth International Conference on Business Intelligence and Technology (BUSTECH 2016) (2016).

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28.

Neves, M., Kraus, M.: BioMedLAT Corpus: Annotation of the Lexical Answer Type for Biomedical Questions. OKBQA 2016. p. 49 (2016).

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29.

Treffer, A., Uflacker, M.: The Slice Navigator: Focused Debugging with Interactive Dynamic Slicing. Proceedings of the 7th IEEE International Workshop on Program Debugging. pp. 1–6. IEEE, New York, NY, USA (2016).

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30.

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31.

Lindemann, J., Klauck, S., Schwalb, D.: A Scalable Query Dispatcher for Hyrise-R. Proceedings of the 3rd HPI Cloud Symposium “Operating the Cloud” 2015. pp. 25–32 (2016).

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32.

Schlosser, R.: Joint Stochastic Dynamic Pricing and Advertising with Time-Dependent Demand. Journal of Economic Dynamics and Control. 73, 439–452 (2016).

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33.

Kowark, T., Richly, K., Uflacker, M., Plattner, H.: Incremental, Per-Query Ontology Matching with RepMine. 25th International World Wide Web Conference (WWW), Demo Track, Montreal, Canada (2016).

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34.

Lorenz, M., Hesse, G., Rudolph, J.-P.: Object-relational Mapping Revised - Guideline Review and Consolidation. International Joint Conference on Software Technologies (ICSOFT). pp. 157–168 (2016).

[ BibTeX ] [ URL ]

35.

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36.

[ BibTeX ] [ URL ] [ Download ]

37.

Schapranow, M.-P., Uflacker, M., Sariyar, M., Semler, S., Fichte, J., Schielke, D., Ekinci, K., Zahn, T.: Towards An Integrated Health Research Process: A Cloud-based Approach. Proceedings of IEEE International Conference on Big Data. pp. 2813–2818. IEEE (2016).

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38.

Schulze, F., Schüler, R., Draeger, T., Dummer, D., Ernst, A., Flemming, P., Perscheid, C., Neves, M.: HPI Question Answering System in BioASQ 2016. Proceedings of the Fourth BioASQ workshop at the Conference of the Association for Computational Linguistics. pp. 38–44 (2016).

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39.

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40.

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41.

Schwalb, D., Faust, M., Dreseler, M., Flemming, P., Plattner, H.: Hyrise-NV: Leveraging Non-Volatile Memory for Instant Restarts of In-Memory Database Systems. International Conference on Data Engineering (ICDE) (2016).

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42.

Dobrigkeit, F., Meyer, S., Uflacker, M.: Case Studies on End-User Engagement and Prototyping during Software Development. In: Plattner, H., Meinel, C., and Leifer, L. (eds.) Design Thinking Research. pp. 183–213. Springer International Publishing, Cham (2016).

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2015

Schwalb, D., Kossmann, J., Faust, M., Klauck, S., Uflacker, M., Plattner, H.: Hyrise-R: Scale-out and Hot-Standby through Lazy Master Replication for Enterprise Applications. Proceedings of the 3rd VLDB Workshop on In-Memory Data Mangement and Analytics (IMDM), in conjunction with VLDB 2015 Kohala Coast, Hawaii (2015).

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Schlosser, R.: Dynamic Pricing and Advertising Models with Inventory Holding Costs. Journal of Economic Dynamics and Control. 57, 163–181 (2015).

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Boissier, M., Meyer, C., Uflacker, M., Tinnefeld, C.: And all of a sudden: Main Memory Is Less Expensive Than Disk. In: Rabl, T., Sachs, K., Poess, M., K. Baru, C., and Jacobsen, H.-A. (eds.) Big Data Benchmarking. pp. 132–144. Springer International Publishing (2015).

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Schapranow, M.-P., Perscheid, C., Plattner, H.: IT-Aided Business Process Enabling Real-time Analysis of Candidates for Clinical Trials. Proceedings of the 4th International Conference on Global Health Challenges. pp. 67–73. IARIA (2015).

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Schapranow, M.-P., Perscheid, C., Wachsmann, A., Siegert, M., Bock, C., Horschig, F., Liedke, F., Brauer, J., Plattner, H.: A Federated In-Memory Database System For Life Sciences. Proceedings of the 9th International Workshop on Business Intelligence for the Real Time Enterprise (BIRTE) (2015).

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Schapranow, M.-P., Kraus, M., Perscheid, C., Bock, C., Liedtke, F., Plattner, H.: The Medical Knowledge Cockpit: Real-time Analysis of Big Medical Data Enabling Precision Medicine. Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM). pp. 770–775 (2015).

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Mueller, S., Fritzsche, M., Kossmann, J., Schneider, M., Striebel, J., Baudisch, P.: Scotty: Relocating Physical Objects Across Distances Using Destructive Scanning, Encryption, and 3D Printing. TEI ’15 Proceedings of the Ninth International Conference on Tangible, Embedded, and Embodied Interaction. pp. 233–240 (2015).

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Neves, M., Leser, U.: Question answering for biology. Methods. 74, 36–46 (2015).

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Kowark, T., Plattner, H.: Search Space Reduction for Post-Matching Correspondence Provisioning. The 10th International Workshop on Ontology Matching, In Conjunction with the 14th International Semantic Web Conference (ISWC) (2015).

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10.

Fähnrich, C., Schapranow, M.-P., Plattner, H.: Facing the Genome Data Deluge: Efficiently Identifying Genetic Variants with In-Memory Database Technology. Proceedings of the ACM Symposium on Applied Computing (2015).

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11.

Klauck, S., Butzmann, L., Müller, S., Faust, M., Schwalb, D., Uflacker, M., Sinzig, W., Plattner, H.: Interactive, Flexible, and Generic What-If Analyses Using In-Memory Column Stores. Database Systems for Advanced Applications. pp. 488–497 (2015).

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12.

Plattner, H., Mueller, S., Nica, A., Butzmann, L., Klauck, S.: Using Object-Awareness to Optimize Join Processing in the SAP HANA Aggregate Cache. Proceedings of the 18th International Conference on Extending Database Technology (EDBT), Brussels, Belgium (2015).

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13.

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14.

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15.

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16.

Goel, A., Pound, J., Auch, N., Bumbulis, P., MacLean, S., Färber, F., Gropengiesser, F., Mathis, C., Bodner, T., Lehner, W.: Towards Scalable Real-time Analytics: An Architecture for Scale-out of OLXP Workloads. Proceedings of the VLDB Endowment. (2015).

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17.

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18.

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19.

Haeger, F., Kowark, T., Uflacker, M.: Experience and Knowledge Transfer Through Special Topic Coaching Sessions. In: Plattner, H., Meinel, C., and Leifer, L. (eds.) Design Thinking Research - Making Design Thinking Foundational. pp. 187–201 (2015).

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20.

Meyer, C., Boissier, M., Michaud, A., Vollmer, J.O., Taylor, K., Schwalb, D., Uflacker, M., Roedszus, K.: Dynamic and Transparent Data Tiering for In-Memory Databases in Mixed Workload Environments. International Workshop on Accelerating Data Management Systems Using Modern Processor and Storage Architectures - ADMS @ VLDB 2015 (2015).

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21.

Schwalb, D., Dreseler, M., Uflacker, M., Plattner, H.: NVC-Hashmap: A Persistent and Concurrent Hashmap For Non-Volatile Memories. In-Memory Data Management Workshop (IMDM), in conjunction with VLDB (2015).

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22.

Schlosser, R.: A Stochastic Dynamic Pricing and Advertising Model under Risk Aversion. Journal of Revenue and Pricing Management. 14, 451–468 (2015).

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23.

Butzmann, L., Klauck, S., Mueller, S., Uflacker, M., Plattner, H., Sinzig, W.: Generic Business Simulation Using an In-Memory Column Store. Datenbanksysteme für Business, Technologie und Web (BTW), 16. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS). pp. 633–643 (2015).

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24.

[ BibTeX ]

25.

Neves, M., Leser, U.: Question answering for biology. Methods. 74, 36–46 (2015).

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26.

Schlosser, R.: Dynamic Pricing with Time-Dependent Elasticities. Journal of Revenue and Pricing Management. 14, 365–383 (2015).

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27.

Hesse, G., Lorenz, M.: Conceptual Survey on Data Stream Processing Systems. IEEE International Conference on Parallel and Distributed Systems (ICPADS). 797–802 (2015).

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28.

Fähnrich, C., Denecke, K., Adeoye, O., Benzler, J., Claus, H., Kirchner, G., Mall, S., Richter, R., Schapranow, M.-P., Schwarz, N.G., Tom-Aba, D., Uflacker, M., Poggensee, G., Krause, G.: Surveillance and Outbreak Response Management System (SORMAS) to support the control of the Ebola virus disease outbreak in West Africa. Euro Surveillance. (2015).

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29.

Plattner, H., Uflacker, M.: Eine Neue Welt. ManagementKompass In-Memory Analytics, Frankfurt Business Media. 15–19 (2015).

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30.

Schlosser, R.: Dynamic Pricing with Time-Dependent Elasticities. Journal of Revenue and Pricing Management. 14, 365–383 (2015).

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31.

Treffer, A.: Time-travel Queries for Omniscient Database Debuggers. Proceedings of the 9th Ph. D. Retreat of the HPI Research School on Service-oriented Systems Engineering. Hasso-Plattner-Institut, Potsdam, Germany (2015).

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32.

Richly, K., Teusner, R., Immer, A., Windheuser, F., Wolf, L.: Optimizing Routes of Public Transportation Systems by Analyzing the Data of Taxi Rides. Workshop on Smart Cities and Urban Analytics, in conjunction with 23rd ACM International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL) (2015).

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33.

Lorenz, M.: The impact of column-orientation on the quality of class inheritance mapping specifications. Software Analysis, Evolution and Reengineering (SANER), 2015 IEEE 22nd International Conference on (2015).

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34.

Faust, M., Flemming, P., Schwalb, D., Plattner, H.: Partitioned Bit-Packed Vectors for In-Memory-Column-Stores. IMDM 2015, In conjunction with VLDB 2015 Kohala Coast, Hawaii. (2015).

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35.

Schwalb, D., Berning, T., Faust, M., Dreseler, M., Plattner, H.: nvm_malloc: Memory Allocation for NVRAM. International Workshop on Accelerating Data Management Systems Using Modern Processor and Storage Architectures (ADMS), in Conjuction with VLDB (2015).

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36.

Schwalb, D., BK, G., Faust, M., S, A., Dreseler, M., Hohl, A., Berning, T., Makkar, G., Deshmukh, P.: Using non-volatile RAM for inherent persistence and fast recovery of an in-memory database. ACM Symposium on Cloud Computing (SoCC) (2015).

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37.

Plattner, H., Uflacker, M.: Eine Neue Welt. ManagementKompass In-Memory Analytics, Frankfurt Business Media. 15–19 (2015).

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2014

Haeger, F., Kowark, T., Uflacker, M.: Pay it forward - Planning and Assessment of a Coaching Seminar for Global-Design Team Alumni. The 10th NordDesign Conference, Espoo, Finland (2014).

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Treffer, A., Uflacker, M.: Dynamic Slicing with Soot. Proceedings of the 3rd ACM SIGPLAN International Workshop on the State of the Art in Java Program Analysis. pp. 1–6. ACM, New York, NY, USA (2014).

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Lorenz, M., Albrecht, J.: Object-Relational Mapping Strategies revised – A comparison of Row- and Column- oriented Database Systems. International Conference on Challenges in IT, Engineering and Technology (ICCIET) (2014).

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Schaffner, J.: Workload Management and Data Placement. Springer International Publishing (2014).

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Haeger, F., Teusner, R.: Scaling Design Thinking - Using a multi-team design thinking workshop to kick start software projects. Presented at the , Tel Aviv (2014).

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Schapranow, M.-P., Haeger, F., Fähnrich, C., Ziegler, E., Plattner, H.: In-Memory Computing Enabling Real-time Genome Data Analysis. International Journal on Advances in Life Sciences, Vol 6, Nr 1-2. (2014).

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Illi, C., Haeger, F., Uflacker, M.: GDriveMonitor: A Tool for Analysing Information Sharing in Virtual Engineering Design Teams Using the Google Drive API. (2014).

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Tinnefeld, C., Taschik, D., Plattner, H.: Quantifying the Elasticity of a Database Management System. The 6th International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA) (2014).

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Plattner, H., Schapranow, M.-P., Haeger, F.: Innovations for Personalized Medicine. High-Performance In-Memory Genome Data Analysis. pp. 1–27. Springer (2014).

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10.

Plattner, H.: The Impact of Columnar In-Memory Databases on Enterprise Systems. Proceedings of the VLDB Endowment Volume 7 Issue 13, Hangzhou, China. pp. 1722–1729 (2014).

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11.

Boissier, M.: Optimizing Main Memory Utilization of Columnar In-Memory Databases Using Data Eviction. Proceedings of Phd Workshop @ VLDB 2014, Hangzhou (2014).

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12.

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13.

Haeger, F., Kowark, T., Uflacker, M.: Pay it forward - Planning and Assessment of a Coaching Seminar for Global-Design Team Alumni. The 10th NordDesign Conference, Espoo, Finland (2014).

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14.

Boissier, M., Krüger, J., Wust, J., Plattner, H.: An Integrated Data Management for Enterprise Systems. ICEIS 2014 - Proceedings of the 16th International Conference on Enterprise Information Systems. pp. 410–418 (2014).

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15.

Faust, M., Grund, M., Berning, T., Schwalb, D., Plattner, H.: Vertical Bit-Packing: Optimizing Operations on Bit-Packed Vectors Leveraging SIMD Instructions. BDMA in conjunction with DASFAA (2014).

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16.

Mueller, S., Plattner, H.: Aggregates Caching for Enterprise Applications. Proceedings of the 30th International Conference on Data Engineering (ICDE), PHD Symposium, Chicago, USA (2014).

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17.

Neves, M., Herbst, K., Uflacker, M., Plattner, H.: Preliminary evaluation of passage retrieval in biomedical multilingual question answering. BioTxtM 2014, Fourth Workshop on Building and Evaluating Resources for Health and Biomedical Text Processing (2014).

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18.

Schapranow, M.-P., Klinghammer, K., Fähnrich, C., Plattner, H.: In-Memory Technology Enables Interactive Drug Response Analysis. 16th International Conference on e-Health Networking, Applications and Services (Healthcom 2014) (2014).

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19.

Wust, J., Grund, M., Hoewelmeyer, K., Schwalb, D., Plattner, H.: Concurrent Execution of Mixed Enterprise Workloads on In-Memory Databases. The 19th International Conference on Database System for Advanced Applications (DASFAA), Bali, Indonesia (2014).

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20.

Schapranow, M.-P., Klinghammer, K., Fähnrich, C., Plattner, H.: An Optimized Research Process for Real-time Drug Response Analysis. The Third International Conference on Global Health Challenges (2014).

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21.

Tinnefeld, C., Kossmann, D., Boese, J.-H., Plattner, H.: Parallel Join Executions in RAMCloud. CloudDB - In conjunction with ICDE 2014 (2014).

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22.

Schaffner, J.: Workload Management and Data Placement. Springer International Publishing (2014).

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23.

Schwalb, D., Dreseler, M., Faust, M., Wust, J., Plattner, H.: Split Dictionaries for In-Memory Column Stores in Mixed Workload Environments. Australasian Database Conference (ADC) (2014).

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24.

Faust, M., Schwalb, D., Plattner, H.: Composite Group-Keys: Space-efficient Indexing of Multiple Columns for Compressed In-Memory Column Stores. IMDM in conjunction with VLDB (2014).

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25.

Schwalb, D., Faust, M., Wust, J., Grund, M., Plattner, H.: Efficient Transaction Processing for Hyrise in Mixed Workload Environments. IMDM in conjunction with VLDB (2014).

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26.

Treffer, A.: Omniscient Debugging in Database Applications. Proceedings of the 8th Ph. D. Retreat of the HPI Research School on Service-oriented Systems Engineering. Hasso-Plattner-Institut, Potsdam, Germany (2014).

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27.

Plattner, H.: A Course in In-Memory Data Management. Springer (2014).

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28.

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29.

Mueller, S., Möller, P., Plattner, H.: Leveraging Enterprise Application Characteristics to Optimize Incremental Aggregate Maintenance in a Columnar In-Memory Database. Second International DASFAA Workshop on Big Data Management and Analytics (BDMA), in conjunction with DASFAA, Bali, Indonesia (2014).

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30.

Neves, M.: HPI in-memory-based database system in Task 2b of BioASQ. Working Notes for the CLEF BioASQ Challenge (2014).

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31.

Mueller, S., Diestelkämper, R., Plattner, H.: Cache Management for Aggregates in Columnar In-Memory Databases. The Sixth International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA), Chamonix, France (2014).

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32.

Wust, J., Meyer, C., Plattner, H.: DAC: Database Application Context Analysis applied to Enterprise Applications. Proceedings of the Thirty-Seventh Australasian Computer Science Conference (ACSC ’14) - Volume 147. pp. 39–48 (2014).

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33.

Schwalb, D., Faust, M., Krüger, J., Plattner, H.: Leveraging In-Memory Technology for Interactive Analyses of Point-of-Sales Data. BDCA in conjunction with ICDE 2014 (2014).

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34.

Alsubaiee, S., Behm, A., Borkar, V., Heilbron, Z., Kim, Y.-S., Carey, M.J., Dreseler, M., Li, C.: Storage Management in AsterixDB. Proceedings of the VLDB Endowment (2014).

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2013

Teusner, R., Gabrysiak, G., Richter, S., Kleff, S.: Interactive Strategy-Based Validation of Behavioral Models. GTVMT (2013).

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Wust, J., Grund, M., Plattner, H.: TAMEX: A Task-Based Query Execution Framework for Mixed Enterprise Workloads on In-Memory Databases. IMDM, INFORMATIK 2013 (2013).

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Schapranow, M.-P., Plattner, H., Meinel, C.: Applied In-Memory Technology for High-Throughput Genome Data Processing and Real-time Analysis. System on Chip (!SoC) Devices in Telemedicine from !LABoC to High Resolution Images, pp. 35-42 (2013).

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Vetterli, C., Übernickel, F., Brenner, W., Haeger, F., Kowark, T., Krüger, J., Müller, J., Plattner, H., Stortz, B., Sikka, V.: Jumpstarting Scrum with Design Thinking. Electronic Colloquium on Design Thinking Research (2013).

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Grünewald, F., Mazandarani, E., Meinel, C., Teusner, R., Totschnig, M., Willems, C.: openHPI - a Case-Study on the Emergence of two Learning Communities. EDUCON (2013).

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Treffer, A.: Extending Omniscient Debuggers. Proceedings of the 9th Ph. D. Retreat of the HPI Research School on Service-oriented Systems Engineering. Hasso-Plattner-Institut, Potsdam, Germany (2013).

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Schapranow, M.-P., Plattner, H., Tosun, C., Regenbrecht, C.: Mobile Real-time Analysis of Patient Data for Advanced Decision Support in Personalized Medicine. The 5th International Conference on eHealth, Telemedicine, and Social Medicine, pp. 129-136 (2013).

[ BibTeX ]

Tinnefeld, C., Taschik, D., Plattner, H.: Providing High-Availability and Elasticity for an In-Memory Database System with RAMCloud. 1st International Workshop on In-Memory Data Management and Analytics (2013).

[ BibTeX ]

Schwalb, D., Faust, M., Krüger, J.: A Workload-Aware Merge Process for In-Memory Column Stores. CICCI (2013).

[ BibTeX ]

10.

Kowark, T.: Applications of Virtual Collaboration Monitoring in Software Development Projects. Proceedings of the 7th Retreat of the HPI Research School on Service-oriented Systems Engineering (to appear) (2013).

[ BibTeX ]

11.

Helmes, K., Schlosser, R.: Dynamic Advertising and Pricing with Constant Demand Elasticities. Journal of Economic Dynamics and Control. 37, 2814–2832 (2013).

[ BibTeX ]

12.

Teusner, R., Gabrysiak, G., Richter, S., Kleff, S.: Interactive Strategy-Based Validation of Behavioral Models. GTVMT (2013).

[ BibTeX ]

13.

Mueller, S., Plattner, H.: Aggregates Caching in Columnar In-Memory Databases. 1st International Workshop on In-Memory Data Management and Analytics (IMDM), in conjunction with VLDB 2013, Riva del Garda, Trento, Italy (2013).

[ BibTeX ]

14.

Schapranow, M.-P., Haeger, F., Plattner, H.: High-Performance In-Memory Genome Project: A Platform for Integrated Real-Time Genome Data Analysis. Proceedings of the 2nd International Conference on Global Health Challenges. pp. 5–10 (2013).

[ BibTeX ]

15.

Mueller, S., Butzmann, L., Höwelmeyer, K., Klauck, S., Plattner, H.: Efficient View Maintenance for Enterprise Applications in Columnar In-Memory Databases. 17th IEEE International Enterprise Distributed Object Computing Conference (EDOC), Vancouver, Canada (2013).

[ BibTeX ]

16.

[ BibTeX ]

17.

Januschowski, T., Kolassa, S., Lorenz, M., Schwarz, C.: Forecasting With In-Memory Technology. Foresight, The International Journal of Applied Forecasting. (2013).

[ BibTeX ]

18.

Krüger, J., Plattner, H., Schwalb, D.: Cache Conscious Column Organization in In-Memory Column Stores. HPI (2013).

[ BibTeX ]

19.

[ BibTeX ]

20.

Kowark, T., Haeger, F., Gehrer, R., Krüger, J.: A Research Plan for the Integration of Design Thinking with Large Scale Software Development Projects. Design Thinking Research - Building Innovation Eco-Systems (2013).

[ BibTeX ]

21.

Januschowski, T., Kolassa, S., Lorenz, M., Schwarz, C.: Forecasting With In-Memory Technology. Foresight, The International Journal of Applied Forecasting. (2013).

[ BibTeX ]

22.

Grünewald, F., Mazandarani, E., Meinel, C., Teusner, R., Totschnig, M., Willems, C.: openHPI: Soziales und Praktisches Lernen im Kontext eines MOOC. in Proceedings of DeLFI 2013 - 11. e-Learning Fachtagung Informatik (2013).

[ BibTeX ]

23.

Schapranow, M.-P.: Krebsdatenbank auf Tablet und Smartphone. Best Practice Wireless in der Hauptstadtregion Berlin-Brandenburg, pp. 48-49 (2013).

[ BibTeX ]

24.

Grund, M., Cudre-Mauroux, P., Krüger, J., Plattner, H.: Hybrid Graph and Relational Query Processing in Main Memory. DESWEB (in conjunction with ICDE) (2013).

[ BibTeX ]

25.

Grund, M., Cudre-Mauroux, P., Krüger, J., Plattner, H.: Hybrid Graph and Relational Query Processing in Main Memory. DESWEB (in conjunction with ICDE) (2013).

[ BibTeX ]

26.

Schapranow, M.-P.: Krebsdatenbank auf Tablet und Smartphone. Best Practice Wireless in der Hauptstadtregion Berlin-Brandenburg, pp. 48-49 (2013).

[ BibTeX ]

27.

Helmes, K., Schlosser, R., Weber, M.: Dynamic Advertising and Pricing in a Class of General New-Product Adoption Models. European Journal of Operational Research. 229, 433–443 (2013).

[ BibTeX ]

28.

[ BibTeX ]

29.

Plattner, H., Schwalb, D., Faust, M., Krüger, J.: Physical Column Organization in In-Memory Column Stores. DASFAA (2013).

[ BibTeX ]

30.

Schapranow, M.-P.: Real-time Security Extensions for EPCglobal Networks: Case Study for the Pharmaceutical Industry. In-Memory Data Management Research, Springer (2013).

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31.

[ BibTeX ]

32.

[ BibTeX ]

33.

Schapranow, M.-P., Plattner, H.: In-Memory Technology Enables History-Based Access Control for RFID-Aided Supply Chains. The Secure Information Society: Ethical, Legal and Political Challenges, pp. 187-213 (2013).

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34.

Müller, J.: A Real-Time In-Memory Discovery Service: Leveraging Hierarchical Packaging Information in a Unique Identifier Network to Retrieve Track and Trace Information. In-Memory Data Management Research (2013).

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35.

Mueller, S., Butzmann, L., Klauck, S., Plattner, H.: Workload-Aware Aggregate Maintenance in Columnar In-Memory Databases. IEEE International Conference on Big Data (IEEE Big Data 2013), Silicon Valley, USA (2013).

[ BibTeX ]

2012

Schwarz, C., Leupold, F., Schubotz, T., Januschowski, T., Plattner, H.: Rapid Energy Consumption Pattern Detection with In-Memory Technology. International Journal On Advances in Intelligent Systems, v5 n 3&4. (2012).

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Krüger, J., Johannsen, A.: Hauptspeicherdatenbanken für Unternehmensanwendungen. 11. Berlin-Brandenburger SAP-Forum. (2012).

[ BibTeX ]

Krüger, J., Johannsen, A.: Hauptspeicherdatenbanken für Unternehmensanwendungen. 11. Berlin-Brandenburger SAP-Forum. (2012).

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Kowark, T.: Sharing Abstracted Subgraphs of Team Collaboration Networks. Proceedings of the 6th Ph.D. Retreat of the HPI Research School on Service-oriented Systems Engineering (2012).

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Plattner, H., Kowark, T.: AnalyzeD: A Shared Tool for Analyzing Virtual Team Collaboration in Classroom Software Engineering Projects. Proceedings of the International Conference on Frontiers in Education: Computer Science and Computer Engineering (2012).

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Schapranow, M.-P., Meinel, C., Plattner, H.: Datenbanktechnologie beflügelt personalisierte Medizin. Laborwelt Nr. 4/2012, 13. Jahrgang. (2012).

[ BibTeX ]

Plattner, H., Zeier, A.: In-Memory Data Management - Technology and Applications. Springer (2012).

[ BibTeX ]

Schaffner, J., Jacobs, D., Kraska, T., Plattner, H.: The Multi-Tenant Data Placement Problem. The Fourth International Conference on Advances in Databases, Knowledge, and Data Applications (2012).

[ BibTeX ]

Faust, M., Krüger, J., Schwalb, D., Plattner, H.: Fast Lookups for In-Memory Column Stores: Group-Key Indices, Lookup and Maintenance. ADMS (in conjunction with VLDB) (2012).

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10.

Krüger, J., Wust, J., Faust, M., Berning, T., Plattner, H.: A Case for Inverted Indices for In-Memory Databases. Proceedings of the DBKDA 2012, The Fourth International Conference on Advances in Databases, Knowledge, and Data Applications (2012).

[ BibTeX ]

11.

Kowark, T.: Sharing Abstracted Subgraphs of Team Collaboration Networks. Proceedings of the 6th Ph.D. Retreat of the HPI Research School on Service-oriented Systems Engineering (2012).

[ BibTeX ]

12.

Schaffner, J., Jacobs, D., Kraska, T., Plattner, H.: The Multi-Tenant Data Placement Problem. The Fourth International Conference on Advances in Databases, Knowledge, and Data Applications (2012).

[ BibTeX ]

13.

Tinnefeld, C., Wagner, B., Plattner, H.: Operating on Hierarchical Enterprise Data in an In-Memory Column Store. Proceedings of the DBKDA 2012, The Fourth International Conference on Advances in Databases, Knowledge, and Data Applications. pp. 58–63 (2012).

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14.

Schapranow, M.-P., Meinel, C., Plattner, H.: Datenbanktechnologie beflügelt personalisierte Medizin. Laborwelt Nr. 4/2012, 13. Jahrgang. (2012).

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15.

Kowark, T., Dobrigkeit, P., Zeier, A.: Towards a Shared Repository for Patterns in Virtual Team Collaboration. Design Thinking Research: Measuring Performance in Context (Understanding Innovation) (2012).

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16.

Krüger, J., Wust, J., Linkhorst, M., Plattner, H.: Leveraging Compression in In-Memory Databases. Proceedings of the DBKDA 2012, The Fourth International Conference on Advances in Databases, Knowledge, and Data Applications. pp. 147–153 (2012).

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17.

Schwarz, C., Leupold, F., Schubotz, T.: Short-Term Energy Pattern Detection of Manufacturing Machines with In-Memory Databases - A Case Study. Proceedings of the Second International Conference on Smart Grids, Green Communications and IT Energy-aware Technologies (2012).

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18.

Richly, K., Bross, J., Kohnen, M., Meinel, C.: Identifying the top-dogs of the blogosphere. Social Network Analysis and Mining. (2012).

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19.

Müller, J., Schapranow, M.-P., Zeier, A., Plattner, H.: Secure RFID-Enablement in Modern Companies: A Case Study of the Pharmaceutical Industry. Handbook of Research on Industrial Informatics and Manufacturing Intelligence: Innovations and Solutions, pp. 507-539, IGI Global (2012).

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20.

Folkerts, E., Heimburger, R., Simchi-Levi, D., Youssef, N., Schwarz, C., Lorenz, M., Januschowski, T., Akkas, A.: Demand Forecasting with partial POS Data using In-Memory Technology. 32nd International Symposium on Forecasting in Boston (2012).

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21.

Mueller, S., Plattner, H.: An In-Depth Analysis of Data Aggregation Cost Factors in a Columnar In-Memory Database. ACM Fifteenth International Workshop On Data Warehousing and OLAP colocated with ACM CIKM, Maui (HI), USA (2012).

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22.

Bog, A., Sachs, K., Plattner, H.: Interactive Performance Monitoring of a Composite OLTP & OLAP Workload. Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data. pp. 645–648 (2012).

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23.

[ BibTeX ]

24.

Plattner, H., Meinel, C., Schapranow, M.-P.: Blitzschnelle Datenanalysen für die personalisierte Medizin der Zukunft – Interdisziplinäre Impulse aus Potsdam und Berlin. Themenbroschüre 2012 Gesundheitsstandort Berlin-Brandenburg. (2012).

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25.

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2011

Schaffner, J., Eckart, B., Jacobs, D., Plattner, H., Zeier, A., Schwarz, C.: Predicting In-Memory Database Performance for Automating Cluster Management Tasks. 27th IEEE International Conference on Data Engineering (ICDE) (2011).

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Panchenko, O.: In-Memory Database Support for Source Code Search and Analytics. 18th IEEE Working Conference on Reverse Engineering, Doctoral Symposium (2011).

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Krüger, J., Hübner, F., Wust, J., Boissier, M., Zeier, A., Plattner, H.: Main Memory Databases for Enterprise Applications. IEEE 18Th International Conference on Industrial Engineering and Engineering Management (IE&EM), 2011 (2011).

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Alexandrov, A., Schiefer, B., Poelman, J., Ewen, S., Bodner, T., Markl, V.: Myriad: Parallel Data Generation on Shared-nothing Architectures. Proceedings of the PACT Workshop on Architectures and Systems for Big Data. (2011).

[ BibTeX ] [ URL ]

Panchenko, O., Mueller, S., Plattner, H., Zeier, A.: Querying Source Code Using a Controlled Natural Language. The 6th International Conference on Software Engineering Advances, Barcelona, Spain (2011).

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Schapranow, M.-P., Fähnrich, C., Zeier, A., Plattner, H.: Simulation of RFID-aided Supply Chains: Case Study of the Pharmaceutical Supply Chain. Third International Conference on Computational Intelligence, Modelling and Simulation, pp. 340-345 (2011).

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Schapranow, M.-P., Müller, J., Zeier, A., Plattner, H.: What are Authentic Pharmaceuticals Worth?. Designing and Deploying RFID Applications, pp. 204-220, INTECH Press (2011).

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Lorenz, M., Müller, J., Schapranow, M.-P., Zeier, A.: A Distributed EPC Discovery Service based on Peer-to-peer Technology. Proceedings of the RFID SysTech 2011, 7th European Workshop on Smart Objects: Systems, Technologies and Applications, Dresden. pp. 1–7. VDE (2011).

[ BibTeX ]

Schwarz, C., Borovskiy, V., Zeier, A.: Optimizing Operation Scheduling for In-Memory Databases. The 2011 International Conference on Modeling, Simulation and Visualization Methods (2011).

[ BibTeX ]

10.

Borovskiy, V., Schwarz, C., Wust, J., Koch, W., Zeier, A.: A Linear Programming Approach for Optimizing Workload Distribution in a Cloud. CLOUD COMPUTING (2011).

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11.

Panchenko, O., Karstens, J., Plattner, H., Zeier, A.: Precise and Scalable Querying of Syntactical Source Code Patterns Using Sample Code Snippets and a Database. 19th IEEE International Conference on Program Comprehension (ICPC), Kingston, Ontario, Canada (2011).

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12.

Borovskiy, V., Koch, W., Zeier, A.: Business Object Query Language as Data Access API in ERP Systems. Lecture Notes on Business Information Processing, Springer. (2011).

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13.

Mueller, S., Plattner, H.: Aggregation Strategies for Columnar In-Memory Databases in a Mixed Workload. PIKM, in conjunction with the 20th ACM Conference on Information and Knowledge Management (CIKM), Glasgow, UK (2011).

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14.

Schapranow, M.-P., Zeier, A., Plattner, H., Müller, J., Lorenz, M.: Discovery Services in the EPC Network. Designing and Deploying RFID Applications, pp. 109-130, INTECH Press (2011).

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15.

Tinnefeld, C., Zeier, A., Plattner, H.: Cache-Conscious Data Placement in an In-Memory Key-Value Store. IDEAS’11: 15th International Database Engineering & Applications Symposium (2011).

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16.

Panchenko, O., Plattner, H., Zeier, A.: What Do Developers Search for in Source Code and Why. 3rd International Workshop on Search-driven development: Users, Infrastructure, Tools and Evaluation (SUITE), Co-located with 33rd International Conference on Software Engineering (ICSE) Waikiki, Honolulu, Hawaii (2011).

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17.

Panchenko, O., Plattner, H., Zeier, A.: Source Code Analytics. The 15th IASTED International Conference on Software Engineering and Applications (2011).

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18.

Krüger, J., Grund, M., Jaeckel, I., Zeier, A., Plattner, H.: Applicability of GPU Computing for Efficient Merge in In-Memory Databases. Second International Workshop on Accelerating Data Management Systems Using Modern Processor and Storage Architectures (In conjunction with Very Large Data Bases, VLDB) (2011).

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19.

Zeier, A., Müller, J., Plattner, H.: A Real-Time RFID Discovery Service for the Extended Enterprise Enabled by In-Memory Data Management. International Journal of RF Technologies. (2011).

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20.

Kowark, T., Zeier, A., Uflacker, M.: An Instrument for Real-Time Design Interaction Capture and Analysis. Design Thinking: Understand – Improve – Apply (2011).

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21.

Zeier, A., Plattner, H., Butzmann, L., Klauck, S., Tinnefeld, C., Mueller, S.: Available-To-Promise on an In-Memory Column Store. Datenbanksysteme in Business, Technologie und Web (BTW 2011), 14. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS), Proceedings, Kaiserslautern, Germany (2011).

[ BibTeX ] [ URL ]

22.

Plattner, H., Zeier, A., Tosun, C., Blessing, S., Krüger, J., Wust, J.: xSellerate: Supporting Sales Representatives with Real-Time Information in Customer Dialogs. In-Memory Data Management (2011).

[ BibTeX ]

23.

Schapranow, M.-P., Zeier, A., Plattner, H., Müller, J., Lorenz, M.: Discovery Services in the EPC Network. Designing and Deploying RFID Applications, pp. 109-130, INTECH Press (2011).

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24.

Grund, M., Krüger, J., Müller, J., Zeier, A., Plattner, H.: Dynamic Partitioning for Enterprise Applications. IEEE International Conference on Industrial Engineering and Engineering Management (2011).

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25.

Schapranow, M.-P., Zeier, A., Leupold, F., Schubotz, T.: Securing EPCglobal Object Name Service -- Privacy Enhancements for Anti-counterfeiting. 2nd International Conference on Intelligent Systems, Modeling and Simulation, pp. 332-337 (2011).

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26.

Plattner, H.: SanssouciDB: An In-Memory Database for Processing Enterprise Workloads. BTW (2011).

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27.

Tinnefeld, C., Zeier, A., Plattner, H.: Cache-Conscious Data Placement in an In-Memory Key-Value Store. IDEAS’11: 15th International Database Engineering & Applications Symposium (2011).

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28.

Kowark, T., Zeier, A., Uflacker, M.: An Instrument for Real-Time Design Interaction Capture and Analysis. Design Thinking: Understand – Improve – Apply (2011).

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29.

Gumienny, R., Gericke, L., Dreseler, M., Meyer, S., Meinel, C.: User-centered Development of Social Collaboration Software. Collaborative Communities for Social Сomputing (CollaborateCom) (2011).

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30.

Bog, A., Sachs, K., Zeier, A.: Benchmarking Database Design for Mixed OLTP and OLAP Workloads. Proceeding of the second joint WOSP/SIPEW international conference on Performance engineering (2011).

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31.

Faerber, F., Schaffner, J., Mathis, C., Culp, D.D., Kleis, W.: An In-Memory Database System for Multi-Tenant Applications. Datenbanksysteme in Business, Technologie und Web (BTW 2011), 14. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS), Proceedings, Kaiserslautern, Germany (2011).

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32.

Bog, A., Sachs, K., Zeier, A., Plattner, H.: Normalization in a Mixed OLTP and OLAP Workload Scenario. Third TPC Technology Conference on Performance Evaluation & Benchmarking (TPC TC), Collocated with VLDB2011, Aug 29 - Sep 3, Seattle, WA (2011).

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33.

Kowark, T.: A Shared Platform for the Analysis of Virtual Team Collaboration. Proceedings of the 5th Ph.D. Retreat of the HPI Research School on Service-oriented Systems Engineering (2011).

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34.

Krüger, J., Grund, M., Wust, J., Zeier, A., Plattner, H.: Merging Differential Updates in In-Memory Column Store. Proceedings of the DBKDA 2011, The Fourth International Conference on Advances in Databases, Knowledge, and Data Applications (2011).

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35.

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36.

Zeier, A., Jacobs, D., Schwarz, C., Eckart, B., Schaffner, J.: Towards Analytics-as-a-Service Using an In-Memory Column Database. Divyakant Agrawal, K. Selçuk Candan, Wen-Syan Li (Eds.): New Frontiers in Information and Software as Services Service and Application Design Challenges in the Cloud, LNBIP Volume 74, pp. 257–282, Springer-Verlag, Berlin Heidelberg (2011).

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37.

Schaffner, J., Zeier, A., Plattner, H., Kraska, T., Franklin, M., Jordan, M., Patterson, D.: Workload Management for Main Memory Databases in Data Clouds. Proceedings of the Fall 2010 Future SOC Lab Day, Christoph Meinel, Andreas Polze, AIexander Z., Gerhard Oswald, Dieter Herzog, Volker Smid, Doc D’Errico, Zahid Hussain (Eds.), Volume 42 (2011).

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38.

Zeier, A., Plattner, H., Schapranow, M.-P., Müller, J.: Costs of Authentic Pharmaceuticals: Research on Qualitative and Quantitative Aspects of Enabling Anti-counterfeiting in RFID-aided Supply Chains. Personal and Ubiquitous Computing, Volume 16, Issue 3. 271–289 (2011).

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39.

Schapranow, M.-P., Zeier, A., Plattner, H.: A Formal Model for Enabling RFID in Pharmaceutical Supply Chains. 44th Hawaii International Conference on System Sciences (HICSS). IEEE (2011).

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40.

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41.

Kowark, T., Uflacker, M., Zeier, A.: Towards a Shared Platform for Virtual Collaboration Analysis. The 2011 International Conference on Software Engineering Research and Practice (SERP ’11) (2011).

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42.

Schapranow, M.-P., Zeier, A., Plattner, H.: Security Extensions for Improving Data Security of Event Repositories in EPCglobal Networks. The 9th International Conference on Embedded and Ubiquitous Computing pp. 213-220 (2011).

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43.

Fähnrich, C., Lorey, J., Naumann, F., Forchhammer, B., Mascher, A., Retzlaff, P., Farahani, A.Z., Discher, S., Lemme, S., Papenbrock, T., Peschel, R.C., Stephan, R., Stening, T., Viehmeier, S.: Black Swan: Augmenting Statistics with Event Data. Proceedings of the 20th ACM international conference on Information and knowledge management (CIKM ’11). pp. 2517–2520 (2011).

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44.

Grund, M., Krüger, J., Plattner, H., Zeier, A., Cudre-Mauroux, P., Madden, S.: HYRISE - A Hybrid Main Memory Storage Engine. Proceedings of the VLDB Endowment Volume 4 Issue 2. pp. 105–116 (2011).

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45.

Grund, M., Cudre-Mauroux, P., Madden, S.: A Demonstration of HYRISE- A Main Memory Hybrid Storage Engine. VLDB (2011).

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46.

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47.

Borovskiy, V., Koch, W., Zeier, A.: Business Object Query Language as Data Access API in ERP Systems. Lecture Notes on Business Information Processing, Springer. (2011).

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48.

Panchenko, O., Treffer, A., Plattner, H., Zeier, A.: Two Algorithms for Locating Ancestors of a Large Set of Vertices in a Tree. International Conference on Software and Data Technologies, Sevillia, Spain (2011).

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49.

Schapranow, M.-P., Müller, J., Zeier, A., Plattner, H.: What are Authentic Pharmaceuticals Worth?. Designing and Deploying RFID Applications, pp. 204-220, INTECH Press (2011).

[ BibTeX ]

50.

[ BibTeX ]

51.

Loos, P., Lechtenbörger, J., Vossen, G., Zeier, A., Krüger, J., Müller, J., Lehner, W., Kossmann, D., Fabian, B., Günther, O., Winter, R.: In-memory Databases in Business Information Systems. Business & Information Systems Engineering. (2011).

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52.

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53.

Schaffner, J., Eckart, B., Schwarz, C., Brunnert, J., Jacobs, D., Zeier, A., Plattner, H.: Simulating Multi-Tenant OLAP Database Clusters. Datenbanksysteme in Business, Technologie und Web (BTW 2011), 14. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS), Proceedings, Kaiserslautern, Germany (2011).

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2010

Eckart, B., Brunnert, J., Schaffner, J., Zeier, A., Jacobs, D.: Towards Enterprise Software as a Service in the Cloud. Second IEEE Workshop on Information & Software as Services in Conjunction with ICDE 2010, Long Beach, CA, USA (2010).

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Müller, J., Oberst, J., Wehrmeyer, S., Witt, J., Zeier, A.: An Aggregating Discovery Service for the EPCglobal Network. Proceedings of the 43th Hawai’i International Conference on System Sciences (HICSS), Koloa, Hawaii, USA (2010).

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Schapranow, M.-P., Kühne, R., Zeier, A.: Real-Time Billing in Smart Grid Infrastructures. Power and Energy Student Summit 2010 - Integration of Renewable Energies into the Grid (2010).

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Panchenko, O., Koglin, A., Bohnet, J., Zeier, A.: An XPath-based Query Language for Trace Analysis. 5th International Workshop on Program Comprehension through Dynamic Analysis (PCODA), co-located with WCRE, Boston, USA (2010).

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Treffer, A., Panchenko, O., Zeier, A.: Towards Query Formulation and Visualization of Structural Search Results. 2nd International Workshop on Search-driven development: Users, Infrastructure, Tools and Evaluation (SUITE), Colocated with 32nd International Conference on Software Engineering (ICSE), Cape Town, South Africa (2010).

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Schapranow, M.-P., Geller, F., Lorenz, M., Müller, J., Kowark, T., Zeier, A.: Assessment of Communication Protocols in the EPC Network: Replacing Textual SOAP and XML with Binary Google Protocol Buffers Encoding. 17th IEEE International Conference on Industrial Engineering and Engineering Management (IE&EM), Xiamen, China (2010).

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Schapranow, M.-P., Nagora, M., Zeier, A.: CoMoSeR: Cost Model for Security-Enhanced RFID-Aided Supply Chains. The 18th International Conference on Software, Telecommunication and Computer Networks, pp. 11-16 (2010).

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Borovskiy, V., Koch, W., Zeier, A.: Flexible Data Access in ERP systems. 12th International Conference on Enterprise Information Systems, Funchal, Portugal (2010).

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Krüger, J., Grund, M., Tinnefeld, C., Plattner, H., Zeier, A., Faerber, F.: Optimizing Write Performance for Read Optimized Databases. Database Systems for Advanced Applications, Japan (2010).

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10.

Schapranow, M.-P., Müller, J., Zeier, A., Plattner, H.: RFID Event Data Processing -- An Architecture for Storing and Searching. Proceedings of the 4th International Workshop on RFID Technology - Concepts, Applications, Challenges, Funchal, Madeira, Portugal (2010).

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11.

Uflacker, M., Zeier, A.: A semantic network approach to analyzing virtual team interactions in the early stages of conceptual design. Future Generation Computer Systems, Volume 27, Issue 1, pp. 88-99. (2010).

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12.

Krüger, J., Grund, M., Boissier, M., Zeier, A., Plattner, H.: Data Structures for Mixed Workloads in In-Memory Databases. 5th International Conference on Computer Sciences and Convergence Information Technology (ICCIT), 2010 (2010).

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13.

Panchenko, O., Kupriyanov, Y., Taratoukhine, V., Zeier, A.: Fuzzy Sets for Purchase Planning in Uncertain Conditions. IEEE The 17th International Conference on Industrial Engineering and Engineering Management, Xiamen, China (2010).

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14.

Paradies, M., Lemke, C., Plattner, H., Lehner, W., Sattler, K.-U., Zeier, A., Krüger, J.: How to Juggle Columns: An Entropy-Based Approach for Table Compression. IDEAS (2010).

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15.

Schapranow, M.-P., Kühne, R., Zeier, A.: Real-Time Billing in Smart Grid Infrastructures. Power and Energy Student Summit 2010 - Integration of Renewable Energies into the Grid (2010).

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16.

Schapranow, M.-P., Kühne, R., Zeier, A.: Enabling Real-Time Charging for Smart Grid Infrastructures using In-Memory Databases. 1st IEEE LCN Workshop on Smart Grid Networking Infrastructure (2010).

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17.

Borovskiy, V., Koch, W., Zeier, A.: Flexible Data Access in ERP systems. 12th International Conference on Enterprise Information Systems, Funchal, Portugal (2010).

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18.

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19.

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20.

Kowark, T.: Towards a service landscape for a real-time project manager dashboard. Proceedings of the 4th Ph.D. Retreat of the HPI Research School on Service-oriented Systems Engineering (2010).

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21.

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22.

Panchenko, O., Plattner, H., Zeier, A.: Efficient Storage and Fast Querying of Source Code. Information Systems Frontiers Journal, Springer. (2010).

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23.

Schapranow, M.-P., Zeier, A., Plattner, H.: A Dynamic Mutual RFID Authentication Model Preventing Unauthorized Third Party Access. The 4th International Conference on Network and System Security, , pp. 371-376 (2010).

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24.

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25.

Krüger, J., Grund, M., Tinnefeld, C., Plattner, H., Zeier, A., Faerber, F.: Optimizing Write Performance for Read Optimized Databases. Database Systems for Advanced Applications, Japan (2010).

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26.

Borovskiy, V., Koch, W., Zeier, A., Plattner, H.: Data manipulation APIs for ERP systems. IMS (2010).

[ BibTeX ]

27.

Krüger, J., Tinnefeld, C., Grund, M., Zeier, A., Plattner, H.: A Case for Online Mixed Workload Processing. Third International Workshop on Testing (DBTest) co-located with SIGMOD Database Systems (2010).

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28.

Borovskiy, V., Koch, W., Zeier, A., Plattner, H.: Data manipulation APIs for ERP systems. IMS (2010).

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29.

Borovskiy, V., Koch, W., Zeier, A.: Data manipulation API in ERP systems. 22nd International Conference on Software Engineering and Knowledge Engineering, San Francisco, USA (2010).

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30.

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31.

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32.

Kowark, T.: Towards a service landscape for a real-time project manager dashboard. Proceedings of the 4th Ph.D. Retreat of the HPI Research School on Service-oriented Systems Engineering (2010).

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33.

Krüger, J., Grund, M., Zeier, A., Plattner, H.: Enterprise Application-specific Data Management. EDOC 2010 (2010).

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34.

Borovskiy, V., Koch, W., Zeier, A.: Data manipulation API in ERP systems. 22nd International Conference on Software Engineering and Knowledge Engineering, San Francisco, USA (2010).

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35.

Bog, A., Plattner, H., Zeier, A.: A mixed transaction processing and operational reporting benchmark. Information Systems Frontiers, Springer, pp. 1-15. (2010).

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36.

Grund, M., Schaffner, J., Krüger, J., Brunnert, J., Zeier, A.: The Effects of Virtualization on Main Memory Systems. Sixth International Workshop on Data Management on New Hardware (2010).

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2009

Kowark, T., Hirschfeld, R., Haupt, M.: Object-Relational Mapping with SqueakSave. Proceedings of the International Workshop on Smalltalk Technologies in conjunction with ESUG ’09, Brest, France (2009).

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Domschke, M., Bog, A., Zeier, A.: Teaching Design Thinking to Software Engineers: Two Future-Oriented Curriculum Case Studies. 26th ICSID World Design Congress, Design Education Conference, Singapore (2009).

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Boshmaf, Y., Plattner, H., Zeier, A., Schaffner, J., Willhalm, T., Popovici, N.: SIMD-Scan: Ultra Fast in-Memory Table Scan using on-Chip Vector Processing Units. Proceedings of the 35th Conference on Very Large Databases (VLDB), Lyon, France (2009).

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Müller, J., Faust, M., Schwalb, D., Schapranow, M.-P., Zeier, A., Plattner, H.: A Software as a Service RFID Middleware for Small and Medium-sized Enterprises. Proceedings of the 5th European Workshop on RFID Systems and Technologies (RFID !SysTech’09), Bremen, Germany (2009).

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Grund, M., Krüger, J., Tinnefeld, C., Zeier, A.: Vertical Partition for Insert-Only Scenarios in Enterprise Applications. Proceedings of the 16th International Conference on Industrial Engineering and Engineering Management (IE&EM), Beijing, China (2009).

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Spichale, K., Panchenko, O., Bog, A., Zeier, A.: Preserving Cohesive Structures for Tool-based Modularity Re-engineering. Proceedings of the Fourth International Conference on Software Engineering Advances, ICSEA 2009, Porto, Portugal (2009).

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Müller, J., Pöpke, C., Urbat, M., Zeier, A., Plattner, H.: A Simulation of the Pharmaceutical Supply Chain to Provide Realistic Test Data. Proceedings of the 2009 International Conference on Advances in System Simulation (SIMUL’09), Porto, Portugal (2009).

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Uflacker, M., Zeier, A.: A platform for the temporal evaluation of team communication in distributed design environments. Proceedings of the 13th International Conference on Computer-Supported Cooperative Work in Design (CSCWD’09), Santiago, Chile (2009).

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10.

Zeier, A., Schapranow, M.-P., Krüger, J., Uflacker, M., Müller, J.: noFilis !CrossTalk 2.0 as Device Management Solution, Experiences while Integrating RFID Hardware into SAP Auto-ID Infrastructure. Proceedings of the 16th International Conference on Industrial Engineering and Engineering Management (IE&EM), Beijing, China (2009).

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11.

Schapranow, M.-P., Müller, J., Enderlein, S., Helmich, M., Zeier, A.: Low-Cost Mutual RFID Authentication Model Using Predefined Password Lists. The 16th International Conference on Industrial Engineering and Engineering Management, pp. 889-893 (2009).

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12.

Schaffner, J., Krueger, J., Mueller, S., Hofmann, P., Zeier, A.: Analytics on Historical Data Using a Clustered Insert-Only In-Memory Column Database. 16th International Conference on Industrial Engineering and Engineering Management (IE&EM), Beijing, China (2009).

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13.

Legler, T., Lehner, W., Schaffner, J., Krüger, J.: Robust Distributed Top-N Frequent Pattern Mining Using the SAP BW Accelerator. Proceedings of the 35th Conference on Very Large Databases (VLDB), Lyon, France (2009).

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14.

Müller, J., Tröger, R., Zeier, A., Alt, R.: Gain in Transparency versus Investment in the EPC Network - Analysis and Results of a Discrete Event Simulation Based on a Case Study in the Fashion Industry. Proceedings of the 2009 International Workshop on Service Oriented Computing in Logistics at the 7th International Joint Conference on Service Oriented Computing (ICSOC-ServiceWave), Stockholm, Sweden (2009).

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15.

Bog, A., Domschke, M., Müller, J., Zeier, A.: A Framework for Simulating Combined OLTP and OLAP Workloads. 16th International Conference on Industrial Engineering and Engineering Management (IE&EM), Beijing, China (2009).

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16.

Plattner, H.: A Common Database Approach for OLTP and OLAP Using an In-Memory Column Database. Proceedings of the 35th SIGMOD International Conference on Management of Data, Providence, Rhode Island (2009).

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17.

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