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Numerous empirical software engineering studies rely on detailed informationabout bugs. While issue trackers often contain information about when bugs werefixed, details about when they were introduced to the system are often absent.As a remedy, researchers often rely on the SZZ algorithm as a heuristicapproach to identify bug-introducing software changes. Unfortunately, asreported in a recent systematic literature review, few researchers have madetheir SZZ implementations publicly available. Consequently, there is a riskthat research effort is wasted as new projects based on SZZ output need toinitially reimplement the approach. Furthermore, there is a risk that newlydeveloped (closed source) SZZ implementations have not been properly tested,thus conducting research based on their output might introduce threats tovalidity. We present SZZ Unleashed, an open implementation of the SZZ algorithmfor git repositories. This paper describes our implementation along with ausage example for the Jenkins project, and conclude with an illustrative studyon just-in-time bug prediction. We hope to continue evolving SZZ Unleashed onGitHub, and warmly invite the community to contribute.

cornell university

SZZ Unleashed: An Open Implementation of the SZZ Algorithm -- Featuring  Example Usage in a Study of Just-in-Time Bug Prediction for the Jenkins  Project