Co-evolution of logical couplings and commits for defect estimation

Maximilian Steff, B. Russo
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引用次数: 18

Abstract

Logical couplings between files in the commit history of a software repository are instances of files being changed together. The evolution of couplings over commits' history has been used for the localization and prediction of software defects in software reliability. Couplings have been represented in class graphs and change histories on the class-level have been used to identify defective modules. Our new approach inverts this perspective and constructs graphs of ordered commits coupled by common changed classes. These graphs, thus, represent the co-evolution of commits, structured by the change patterns among classes. We believe that co-evolutionary graphs are a promising new instrument for detecting defective software structures. As a first result, we have been able to correlate the history of logical couplings to the history of defects for every commit in the graph and to identify sub-structures of bug-fixing commits over sub-structures of normal commits.
用于缺陷估计的逻辑耦合和提交的协同演化
软件存储库提交历史中文件之间的逻辑耦合是一起更改的文件实例。在软件可靠性中,耦合在提交历史上的演化已被用于软件缺陷的定位和预测。耦合用类图表示,类级别的变更历史被用来识别有缺陷的模块。我们的新方法颠倒了这个透视图,并构造了由常见更改类耦合的有序提交图。因此,这些图表示提交的共同演化,由类之间的变更模式构成。我们相信协同进化图是一种很有前途的检测缺陷软件结构的新工具。作为第一个结果,我们已经能够将逻辑耦合的历史与图中每个提交的缺陷的历史联系起来,并在正常提交的子结构上识别bug修复提交的子结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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