Yihao Li, Dong Li, Fuqun Huang, Shou-Yu Lee, J. Ai
{"title":"An Exploratory Analysis on Software Developers' Bug-Introducing Tendency over Time","authors":"Yihao Li, Dong Li, Fuqun Huang, Shou-Yu Lee, J. Ai","doi":"10.1109/SATE.2016.9","DOIUrl":null,"url":null,"abstract":"Understanding how software developers' erroneous tendency changes across time has significant implications for building fault-proneness prediction models and guiding software evolution testing. This paper initiates the investigation on software developers' bug-introducing tendency through an exploratory analysis. Five metrics are proposed to capture software developers' bug-introducing tendency and its correlated factors. A total of 76 software developers, working in four widely used software programs from GitHub, have been analyzed. The initial findings are presented.","PeriodicalId":344531,"journal":{"name":"2016 International Conference on Software Analysis, Testing and Evolution (SATE)","volume":"189 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Software Analysis, Testing and Evolution (SATE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SATE.2016.9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
Understanding how software developers' erroneous tendency changes across time has significant implications for building fault-proneness prediction models and guiding software evolution testing. This paper initiates the investigation on software developers' bug-introducing tendency through an exploratory analysis. Five metrics are proposed to capture software developers' bug-introducing tendency and its correlated factors. A total of 76 software developers, working in four widely used software programs from GitHub, have been analyzed. The initial findings are presented.
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