Prof. Dr. Jürgen Döllner

Willy Scheibel

Willy Scheibel

Research assistent for software analytics.

Research topics:

  • Visualizing changing hierarchies
  • Hardware-accelerated systems design

Other interests:

  • Computer Graphics
  • Game Design


Tel.: +49-(0)331 5509-3914
Fax: +49-(0)331 5509-172
Room: H-2.21
Email: willy.scheibel(at)hpi.de



Teaching activities

Summer Term 2017

  • Lecture "Advanced Programming Techniques for C++" (tutor)
  • Seminar "Advanced Information Visualization" (tutor)

Winter Term 2016/1017

  • Lecture "Advanced Programming in C++" (tutor)
  • Seminar "Methods and Techniques of Information Visualization" (supervisor)
  • Masters Project "Real-time Monitoring of Massive File Systems" (supervisor)

Summer term 2016

  • Lecture "Computer Graphics II" (tutor)
  • Seminar "Methods and Techniques of Software Visualization" (tutor)
  • Bachelor project "Massive Information Mining for Software Analytics" (supervisor)

Winter term 2015/2016

  • Lecture "Computer Graphics I" (tutor)
  • Seminar "Systems Engineering for Software Analytics" (tutor)
  • Bachelor project "Massive Information Mining for Software Analytics" (supervisor)

Summer term 2015

  • Lecture "Computer Graphics I" (tutor)
  • Seminar "Visual Software Analytics" (tutor)
  • Seminar "Programmierung computergrafischer Verfahren mit C++ und OpenGL" (tutor & co-lecturer)
  • Bachelor project "Software Analytics" (supervisor)

Winter term 2014/2015

  • Lecture "Computer Graphics II" (tutor)
  • Seminar "Visualization for Interactive Software Analytics" (tutor)
  • OpenHPI course "Automated Visual Software Analytics" (tutor)
  • Bachelor project "Software Analytics" (supervisor)

Summer term 2014

  • Seminar "Grafikprogrammierung mit OpenGL und C++" (co-lecturer)
  • Seminar "Information Visualization" (co-tutor)

Winter term 2013/2014

  • Seminar "Software-Analyse und Visualisierung" (co-tutor)


Reducing Visual Complexity in Software Maps using Importance-based Aggregation of Nodes

in Proceedings of the 8th International Conference on Information Visualization Theory and Applications . 2017 .

Depicting massive software system data using software maps can result in visual clutter and increased cognitive load. This paper introduces an adaptive level-of-detail (LoD) technique that uses scoring for interactive aggregation on a per-node basis. The scoring approximates importance by degree-of-interest measures as well as screen and user-interaction scores. The technique adheres to established aggregation guidelines and was evaluated by means of two user studies. The first user study investigates task completion time in visual search. The second evaluates the readability of the presented nesting level contouring for aggregates. With the adap- tive LoD technique software maps allow for multi-resolution depictions of software system information. It facilitates efficient identification of important nodes and allows for additional annotation. © The Authors 2017. This is the authors' version of the work. It is posted here for your personal use. Not for redistribution. The definitive version will be published in Proceedings of the 8th International Conference on Information Visualization Theory and Applications (IVAPP 2017).
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