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

Authors:
Andy Zaidman;Toon Calders;Serge Demeyer;Jan Paredaens
Affiliations:
University of Antwerp;University of Antwerp;University of Antwerp;University of Antwerp
Venue:
CSMR '05 Proceedings of the Ninth European Conference on Software Maintenance and Reengineering
Year:
2005

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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 驴 Apache Ant and Jakarta JMeter 驴 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.