Applying Webmining Techniques to Execution Traces to Support the Program Comprehension Process

Ninth European Conference on Software Maintenance and Reengineering (CSMR'05) pp. 134-142
Applying Webmining Techniques to Execution Traces to Support the Program Comprehension Process
Andy Zaidman, University of Antwerp
Toon Calders, University of Antwerp
Serge Demeyer, University of Antwerp
Jan Paredaens, University of Antwerp

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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSMR.2005.12
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Abstract
Well-designed object-oriented programs typically consist of a few key classes that work tightly together to provide the bulk of the functionality. As such, these key classes are excellent starting points for the program comprehension process. We propose a technique that uses web-mining principles on execution traces to discover these important and tightly interacting classes. Based on two medium-scale case studies — Apache Ant and Jakarta JMeter — and detailed architectural information from its developers, we show that our heuristic does in fact find a sizeable number of the classes deemed important by the developers.
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Index Terms- Reverse engineering, dynamic analysis, web-mining, program comprehension Citation: Andy Zaidman, Toon Calders, Serge Demeyer, Jan Paredaens, "Applying Webmining Techniques to Execution Traces to Support the Program Comprehension Process," csmr, pp. 134-142, Ninth European Conference on Software Maintenance and Reengineering (CSMR'05), 2005

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