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Mining SoftwareEngineering DataTaoXie JianPei AhmedE.HassanNorthCarolinaStateUniv. SimonFraserUniv. Univ. ofVictoriaUSA Canada Canadaxie@csc.ncsu.edu jpei@cs.sfu.ca ahmed@ece.uvic.caAbstract lately within software engineering. The workshop in Min-ing Software Repositories (MSR) has been recognized asSoftware engineering data (such as code bases, exe- themostattendedworkshopatICSEsince2001. MSR2006cution traces, historical code changes, mailing lists, and was oversubscribed. As a reflection of the great interest inbug databases) contains a wealth of information about the area and the importance of the MSR work within thea project’s status, progress, and evolution. Using well- contextofsoftwareengineering,thebestpapersforthreeofestablished data mining techniques, practitioners and re- the major conferences within SE (ICSE, ASE, and ICSM)searchers can explore the potential of this valuable data for2006areonapplyingdataminingtechniquesonSEdata.in order to better manage their projects and to produce ArecentissueofIEEETransactionsonSoftwareEngineer-higher-quality software systems that are delivered on time ing (TSE) on the MSR topic received over 15% of all theand within budget. submissionstotheTSEin2005[6].This tutorial presents the latest research in mining Soft- Thetutorialwillprovideparticipantswithanoverviewofware Engineering (SE) data, discusses challenges associ- the field of mining software engineering data, as shown inated with mining SE data, ...
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