Hasso-Plattner-Institut20 Jahre HPI
Hasso-Plattner-Institut20 Jahre HPI
  
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Summer Semester 2019

10.04.2019 - Symposium on Future Trends in Service-Oriented Computing

17.04.2019 - Michael Meinig

Rough Logs - A Data Reduction Approach for Log Files

Modern scalable information systems produce a constant stream of log records to describe their activities and current state. This data is increasingly used for online anomaly analysis, so that dependability problems such as security incidents can be detected while the system is running. Due to the constant scaling of many such systems, the amount of processed log data is a significant aspect to be considered in the choice of any anomaly detection approach. We therefore present a new idea for log data reduction called ‘rough logs’. It utilizes rough set theory for reducing the number of attributes being collected in log data for representing events in the system. We tested the approach in a large case study - the experiments showed that data reduction possibilities proposed by our approach remain valid even when the log information is modified due to anomalies happening in the system.

24.04.2019 - Sebastian Marwecki

Stuff-Haptics: Passive Haptics Experiences Generated From Arbitrary Sets of Physical Props

Current passive haptics experiences only run with a premeditated set of physical props, preventing such experiences from running anywhere else. We present Stuff-Haptics, a software system that allows passive haptics experiences to run on different sets of props, such as physical objects found in the home. Stuff-Haptics accomplishes this by allowing experience designers to define the virtual objects in their experience using a generic format. This allows the system to run the experience in a wide range of locations by procedurally modelling virtual object sets to match the available props.

01.05.2019 - no meeting (Tag der Arbeit)

08.05.2019 - Prof. Dr. Felix Naumann

Open, Moderated Discussion on Reviewing Scientific Work

  • Elements of a review
  • Single-, Double-, and Triple-blind reviewing
  • How to write reviews?
  • What makes a good review?
  • How to write for reviewers?
  • How to rebut a review and when to complain.
  • Good and bad experiences with reviews

15.05.2019 - Felicia Burtscher

On Waddington landscapes, a prediction tool for the Malaria community and RootSkel — A presentation of past work and plans for future work.

In this presentation I am going to present 3 very different projects during my Master's studies. Waddington or epigenetic landscapes have been used as a conceptual model for cell differentiation in biology since the 40s. In this project, we aimed to produce a software package in Julia with various features to generate and analyse the landscape for the user. Computing the host-pathogen mapping ratio to predict the read depth of dual-RNA seq data is a challenge Malaria researchers often face. This interactive website for the Malaria community helps to predict this ratio based on different information on the sample. RootSkel is a standalone software package developed for plant morphology researchers analysing the phenomenon of electrotropism, the response of a plant to an electric field. More explicitely, the software computes the angle of the curved root tip with minimal user input and thus, standardises and automates the former manual angle computation.

22.05.2019 - Christoph Matthies

Agile Software Process Improvement (in Retrospectives)

Working in iterations and repeatedly improving team workflows based on collected feedback is fundamental to agile software development processes. Scrum, the most popular agile method, provides dedicated retrospective meetings to reflect on the last development iteration and to decide on process improvement actions. However, agile methods do not prescribe how these improvement actions should be identified, managed or tracked in detail. The approaches to detect and remove problems in software development processes are therefore often based on intuition and prior experiences and perceptions of team members. Previous research in this area has focused on approaches to elicit a team's improvement opportunities as well as measurements regarding the work performed in an iteration, e.g. Scrum burn-down charts. Little research deals with the quality and nature of identified problems or how progress towards removing issues is measured. In this research, we investigate how agile development teams in the professional software industry organize their feedback and process improvement approaches. In particular, we focus on the structure and content of improvement and reflection meetings, i.e. retrospectives, and their outcomes. Researching how the vital mechanism of process improvement is implemented in practice in modern software development leads to a more complete picture of agile process improvement.

29.05.2019 - Stefan Neubert

Complexity lower bounds with Fine-Grained Reductions

How fast can you solve a given algorithmic problem? We can approach this fundamental question from two different directions. By developing new algorithms that outperform existing solutions, one shows upper bounds on the problem’s complexity. Lower bounds on the other hand rule out the existence of faster algorithms. They are, however, usually based on conjectured lower bounds for other problems; most prominently the P≠NP conjecture. After a short overview of my previous work at HPI, the talk will introduce the two main concepts of my current research, namely enumeration problems and Fine-Grained Reductions: Instead of only deciding a problem or producing one solution to it, in enumeration we ask for an efficient output of all solutions. This requires a different conception of complexity than, for example, a standard decision or search problem. Reducing problems to one another helps to cluster problems into classes of similar complexity. Recently, the notion fine-grained was introduced to denote very carefully designed reductions that allow transferring specific polynomial complexity lower bounds.

05.06.2019 - Gerardo Vitagliano

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12.06.2019 - Andreas Grapentin

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19.06.2019 - Vanja Doskoc

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26.06.2019 - Muhammad Abdullah

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03.07.2019 - tbd

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10.07.2019 - Shohei Katakura

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17.07.2019 - tbd

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