Software engineering data (such as code bases, execution 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 researchers have started exploring 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.
Tao XieJian PeiAhmed E. Hassan
Maria HalkidiDiomidis SpinellisGeorge TsatsaronisM. Vazirgiannis
Tao XieSuresh ThummalapentaDavid LoChao Liu
Themistoklis DiamantopoulosAndreas L. Symeonidis