Improving change prediction with fine-grained source code mining
Proceedings of the twenty-second IEEE/ACM international conference on Automated software engineering
Empirical Software Engineering
Towards a more efficient static software change impact analysis method
Proceedings of the 8th ACM SIGPLAN-SIGSOFT workshop on Program analysis for software tools and engineering
How tagging helps bridge the gap between social and technical aspects in software development
ICSE '09 Proceedings of the 31st International Conference on Software Engineering
Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 2
Traceability research: taking the next steps
Proceedings of the 6th International Workshop on Traceability in Emerging Forms of Software Engineering
Recovering traceability links between source code and fixed bugs via patch analysis
Proceedings of the 6th International Workshop on Traceability in Emerging Forms of Software Engineering
An adaptive approach to impact analysis from change requests to source code
ASE '11 Proceedings of the 2011 26th IEEE/ACM International Conference on Automated Software Engineering
Integrated impact analysis for managing software changes
Proceedings of the 34th International Conference on Software Engineering
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An approach to recover/discover traceability links between software artifacts via the examination of a software system's version history is presented. A heuristic-based approach that uses sequential-pattern mining is applied to the commits in software repositories for uncovering highly frequent co-changing sets of artifacts (e.g., source code and documentation). If different types of files are committed together with high frequency then there is a high probability that they have a traceability link between them. The approach is evaluated on a number of versions of the open source system KDE. As a validation step, the discovered links are used to predict similar changes in the newer versions of the same system. The results show highly precision predictions of certain types of traceability links.