纠正提交概率代码质量度量
The Corrective Commit Probability Code Quality Metric
摘要：
我们提出了一个代码质量度量，纠正提交概率（CCP），测量的概率，提交反映纠正性维护。我们表明，这个指标符合开发人员的质量，信息和稳定的概念。通过将语言模型应用于提交消息来识别纠正提交。通过将语言模型应用于提交消息来识别纠正提交。我们计算了所有大型活跃GitHub项目的CCP（2019年至少有200个提交的7，557个项目）。这导致了一个质量等级的创建，表明质量最低的10%的项目在修复bug上花费的精力至少是前10%的6倍。对项目属性的分析表明，较低的CCP（较高的质量）与较小的文件，较低的耦合，使用JavaScript和C#等语言而不是PHP和C++，更少的开发人员，更低的开发人员流失，更好的入门和更高的生产力有关。除其他外，这些结果支持“质量是免费的”的说法，并建议实现更高的质量不需要更高的费用。
英文摘要：
We present a code quality metric, Corrective Commit Probability (CCP), measuring the probability that a commit reflects corrective maintenance. We show that this metric agrees with developers' concept of quality, informative, and stable. Corrective commits are identified by applying a linguistic model to the commit messages. Corrective commits are identified by applying a linguistic model to the commit messages. We compute the CCP of all large active GitHub projects (7,557 projects with at least 200 commits in 2019). This leads to the creation of a quality scale, suggesting that the bottom 10% of quality projects spend at least 6 times more effort on fixing bugs than the top 10%. Analysis of project attributes shows that lower CCP (higher quality) is associated with smaller files, lower coupling, use of languages like JavaScript and C# as opposed to PHP and C++, fewer developers, lower developer churn, better onboarding, and better productivity. Among other things these results support the "Quality is Free" claim, and suggest that achieving higher quality need not require higher expenses.
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