Title :
Mining Software Engineering Data
Author :
Xie, Tao ; Pei, Jian ; Hassan, Ahmed E.
Author_Institution :
North Carolina State Univ., USA
Abstract :
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.
Keywords :
Data analysis; Data mining; Databases; Financial management; Open source software; Project management; Research and development; Software engineering; Software systems; USA Councils;
Conference_Titel :
Software Engineering - Companion, 2007. ICSE 2007 Companion. 29th International Conference on
Conference_Location :
Minneapolis, MN, USA
Print_ISBN :
0-7695-2892-9
DOI :
10.1109/ICSECOMPANION.2007.50