Article published at EMSE

We are happy to announce that our article  "What really changes when developers intend to improve their source code: a commit-level study of static metric value and static analysis warning changes" is published online in the Journal of Empirical Software Engineering, with the print version expected to appear in March 2023. In the article, we leverage the intent of developers about what constitutes a quality improvement in their own code base and investigate the improvements impact on 14 static source code metrics. In this study, we used a data set of 125,482 commits which we generated from a deep learning model that was trained from a randomized sample of 2.533 commits from 54 Java open source for which we manually labeled the commit intent.
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