Hauptseminar Data Mining für Softwareentwicklung Themen und

Hauptseminar Data Mining für Softwareentwicklung Themen und

Ludwig-Maximilians-Universität München
Institut für Informatik
Prof. Dr. Hans-Peter Kriegel, Dr. Arthur Zimek
München, 26.04.2010
Hauptseminar Data Mining für Softwareentwicklung
SS 2010
Themen und Paper
21.05.2010
• Bjoern Cullmann [9]
• Christiane Gargitter [7]
• Minh Bui [3]
• Maximilian Koelbl [1]
• Sabine Hampp [10]
28.05.2010
• Julian Köpke [11]
• Sonja Stockert [4]
• Nisida Baholli [2]
• Guilin Yang [5]
• Christina Obolashvili [6]
• Bauer Stefan [8]
1
Literatur
[1] M. Acharya, T. Xie, J. Pei, and J. Xu. Mining API patterns as partial orders from source code: From usage
scenarios to specifications. In Proceedings of the 6th Joint Meeting of the European Software Engineering
Conference (ESEC) and the ACM SIGSOFT Symposium on Foundations of Software Engineering (FSE),
Dubrovnik, Croatia, 2007.
[2] M. Bruch, T. Schäfer, and M. Mezini. FrUiT: IDE support for framework understanding. In Proceedings
of the 2006 OOPSLA workshop on eclipse technology eXchange, 2006.
[3] M. Bruch, T. Schäfer, and M. Mezini. On evaluating recommender systems for API usages. In Proceedings of the 2008 International Workshop on Recommendation Systems for Software Engineering (RSSE),
Atlanta, GA, 2008.
[4] D. Doval, S. Mancoridis, and B. S. Mitchell. Automatic clustering of software systems using a genetic algorithm. In Proceedings of the International Workshop on Software Technology and Engineering Practice
(STEP), Pittsburgh, PA, 1999.
[5] J. Ekanayake, J. Tappolet, H. C. Gall, and A. Bernstein. Tracking concept drift of software projects
using defect prediction quality. In Proceedings of the 2009 International Working Conference on Mining
Software Repositories (MSR), Vancouver, BC, 2009.
[6] M. Fokaefs, N. Tsantalis, A. Chatzigeorgiou, and J. Sander. Decomposing object-oriented class modules
using an agglomerative clustering technique. In Proceedings of the 25th IEEE International Conference
on Software Maintenance (ICSM 2009), Edmonton, Alberta, 2009.
[7] M. Kim and D. Notkin. Discovering and representing systematic code changes. In Proceedings of the
31st International Conference on Software Engineering (ICSE), Vancouver, Canada, 2009.
[8] C. Liu, C. Chen, J. Han, and P. S. Yu. GPLAG: detection of software plagiarism by program dependence
graph analysis. In Proceedings of the 12th ACM International Conference on Knowledge Discovery and
Data Mining (SIGKDD), Philadelphia, PA, 2006.
[9] T. Mens and S. Demeyer. Future trends in software evolution metrics. In Proceedings of the 4th International Workshop on Principles of Software Evolution (IWPSE), Vienna, Austria, 2001.
[10] T. Schäfer, J. Jonas, and M. Mezini. Mining framework usage changes from instantiation code. In Proceedings of the 30th International Conference on Software Engineering (ICSE), Leipzig, Germany, 2008.
[11] D. Yuan, K. Lee, H. Cheng, G. Krishna, Z. Li, X. Ma, Y. Zhou, and J. Han. CISpan: comprehensive incremental mining algorithms of closed sequential patterns for multi-versional software mining. In
Proceedings of the 8th SIAM International Conference on Data Mining (SDM), Atlanta, GA, 2008.
2