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Software Engineering - Companion, 2007. ICSE 2007 Companion. 29th International Conference on In Software Engineering - Companion, 2007. ICSE 2007 Companion. 29th International Conference on (May 2007), pp. 172-173, doi:10.1109/icsecompanion.2007.50 Key: citeulike:4762139
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Software engineering data (such as code bases, exe- cution traces, historical code changes, mailing lists, and bug databases) contains a wealth of information about a project¿s status, progress, and evolution. Using well- established data mining techniques, practitioners and re- searchers can explore the potential of this valuable data in order to better manage their projects and to produce higher-quality software systems that are delivered on time and within budget. This tutorial presents the latest research in mining Soft- ware Engineering (SE) data, discusses challenges associ- ated with mining SE data, highlights SE data mining suc- cess stories, and outlines future research directions. Partic- ipants will acquire knowledge and skills needed to perform research or conduct practice in the field and to integrate data mining techniques in their own research or practice.
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