Commit guru: analytics and risk prediction of software commits

@inproceedings{Rosen2015CommitGA,
  title={Commit guru: analytics and risk prediction of software commits},
  author={Christoffer Rosen and Ben Grawi and Emad Shihab},
  booktitle={ESEC/SIGSOFT FSE},
  year={2015}
}
Software quality is one of the most important research sub-areas of software engineering. Hence, a plethora of research has focused on the prediction of software quality. Much of the software analytics and prediction work has proposed metrics, models and novel approaches that can predict quality with high levels of accuracy. However, adoption of such techniques remain low; one of the reasons for this low adoption of the current analytics and prediction technique is the lack of actionable and… CONTINUE READING

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