My research focus on code recommender systems and (more general) software comprehension. I investigate different approaches how modern IDEs can support software developers in learning framework concepts.
My active research in this area focuses on automatic information discovery by applying data mining techniques on different kinds of artifacts like source or binary code, documentation, configuration files etc. as well as the presentation of the discovered information to the developer.
If you are interested in a bachelor or master theses please read send me an email to get further information about currently available topics.
Research Interests
- Knowledge Discovery and Data Mining
- Static Analysis, Algorithms
- Information Visualization and Representation
Eclipse Code Recommenders Project
My diploma theses was the cornerstone of the FrUiT project, a data mining driven tool for framework understanding. This project is now superseded by the Eclipse Code Recommenders Project.
Teaching
| Term | Courses |
| Winter 2009/2010 |
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| Summer 2009 |
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| Winter 2008/2009 |
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| Summer 2008 |
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| Winter 2007/2008 |
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| Summer 2007 |
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| Winter 2006/2007 |
|
Publications
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