Predicting Fault Incidence Using Software Change History
IEEE Transactions on Software Engineering
Understanding and predicting effort in software projects
Proceedings of the 25th International Conference on Software Engineering
CVSSearch: Searching through Source Code using CVS Comments
ICSM '01 Proceedings of the IEEE International Conference on Software Maintenance (ICSM'01)
Detection of Logical Coupling Based on Product Release History
ICSM '98 Proceedings of the International Conference on Software Maintenance
Guest Editor's Introduction: Special Issue on Mining Software Repositories
IEEE Transactions on Software Engineering
Mining Software Engineering Data
ICSE COMPANION '07 Companion to the proceedings of the 29th International Conference on Software Engineering
Future of Mining Software Archives: A Roundtable
IEEE Software
Guest editors introduction: special issue on mining software repositories
Empirical Software Engineering
Data Mining for Software Engineering
Computer
Software intelligence: the future of mining software engineering data
Proceedings of the FSE/SDP workshop on Future of software engineering research
Proceedings of the 4th India Software Engineering Conference
Alattin: mining alternative patterns for defect detection
Automated Software Engineering
Mining and recommending software features across multiple web repositories
Proceedings of the 5th Asia-Pacific Symposium on Internetware
Comparison and evaluation of source code mining tools and techniques: A qualitative approach
Intelligent Data Analysis
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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. This tutorial presents the latest research in mining software engineering data, discusses challenges associated with mining software engineering data, highlights success stories of mining software engineering data, and outlines future research directions. Attendees will acquire the knowledge and skills needed to integrate the mining of software engineering data in their own research or practice. This tutorial builds on several successful offerings at ICSE since 2007.