This paper analyzes developer-related factors that could influence the likelihood for a commit to induce a fix. Specifically, we focus on factors that could potentially hinder developers’ ability to correctly understand the code components involved in the change to be committed as follows: (i) the coherence of the commit (i.e., how much it is focused on a specific topic); (ii) the experience level of the developer on the files involved in the commit; and (iii) the interfering changes performed by other developers on the files involved in past commits. The results of our study indicate that \u2018fix-inducing\u2019 commits (i.e., commits that induced a fix) are significantly less coherent than \u2018clean\u2019 commits (i.e., commits that did not induce a fix). Surprisingly, \u2018fix-inducing\u2019 commits are performed by more experienced developers; yet, those are the developers performing more complex changes in the system. Finally, \u2018fix-inducing\u2019 commits have a higher number of past interfering changes as compared with \u2018clean\u2019 commits. Our empirical study sheds light on previously unexplored factors and presents significant results that can be used to improve approaches for defect prediction. Copyright \u00a9 2016 John Wiley & Sons, Ltd.<\/p>\n","protected":false},"excerpt":{"rendered":"
This paper analyzes developer-related factors that could influence the likelihood for a commit to induce a fix. Specifically, we focus on factors that could potentially hinder developers’ ability to correctly understand the code components involved in the change to be committed as follows: (i) the coherence of the commit (i.e., how much it is focused 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