{"title":"Which Refactoring Reduces Bug Rate?","authors":"Idan Amit, D. Feitelson","doi":"10.1145/3345629.3345631","DOIUrl":null,"url":null,"abstract":"We present a methodology to identify refactoring operations that reduce the bug rate in the code. The methodology is based on comparing the bug fixing rate in certain time windows before and after the refactoring. We analyzed 61,331 refactor commits from 1,531 large active GitHub projects. When comparing three-month windows, the bug rate is substantially reduced in 17% of the files of analyzed refactors, compared to 12% of the files in random commits. Within this group, implementing 'todo's provides the most benefits. Certain operations like reuse, upgrade, and using enum and namespaces are also especially beneficial.","PeriodicalId":424201,"journal":{"name":"Proceedings of the Fifteenth International Conference on Predictive Models and Data Analytics in Software Engineering","volume":"177 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Fifteenth International Conference on Predictive Models and Data Analytics in Software Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3345629.3345631","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

We present a methodology to identify refactoring operations that reduce the bug rate in the code. The methodology is based on comparing the bug fixing rate in certain time windows before and after the refactoring. We analyzed 61,331 refactor commits from 1,531 large active GitHub projects. When comparing three-month windows, the bug rate is substantially reduced in 17% of the files of analyzed refactors, compared to 12% of the files in random commits. Within this group, implementing 'todo's provides the most benefits. Certain operations like reuse, upgrade, and using enum and namespaces are also especially beneficial.
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哪种重构能降低Bug率?
我们提出了一种方法来识别重构操作,以减少代码中的bug率。该方法基于比较重构前后特定时间窗口内的bug修复率。我们分析了来自1,531个大型活动GitHub项目的61,331个重构提交。当比较三个月的窗口时,17%的分析重构文件的bug率大大降低,而随机提交的文件的bug率为12%。在这个群体中,实现“待办事项”提供了最大的好处。某些操作,如重用、升级以及使用枚举和名称空间,也特别有益。
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Proceedings of the Fifteenth International Conference on Predictive Models and Data Analytics in Software Engineering An Evaluation of Parameter Pruning Approaches for Software Estimation Which Refactoring Reduces Bug Rate? Reviewer Recommendation using Software Artifact Traceability Graphs Prioritizing automated user interface tests using reinforcement learning
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