{"title":"影响Bug重开的交互因素实证研究","authors":"Jinkun Pan, Xiaoguang Mao","doi":"10.1109/APSEC.2014.90","DOIUrl":null,"url":null,"abstract":"Bugs can be reopened after they have been closed due to identification of the actual cause, previous incorrect fixing, or better reproducing, etc. Reopened bugs may increase the cost in maintenance, degrade the overall quality of the software product, reduce the trust of users, and bring unnecessary work to the already-busy developers. To minimize the occurrence of bug reopenings, the potential causes and factors should be analyzed. In this paper, we explore 24 interaction factors to study their influence on bug reopenings. The data are extracted from Mylyn logs of four open-source projects. We first verify the negative impacts of bug reopenings. Then, we identify 17 factors that significantly influence the likelihood of bug reopenings using statistic tests. In addition, we build decision trees using interaction factors to predict bug reopenings and achieve good performance.","PeriodicalId":380881,"journal":{"name":"2014 21st Asia-Pacific Software Engineering Conference","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"An Empirical Study on Interaction Factors Influencing Bug Reopenings\",\"authors\":\"Jinkun Pan, Xiaoguang Mao\",\"doi\":\"10.1109/APSEC.2014.90\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Bugs can be reopened after they have been closed due to identification of the actual cause, previous incorrect fixing, or better reproducing, etc. Reopened bugs may increase the cost in maintenance, degrade the overall quality of the software product, reduce the trust of users, and bring unnecessary work to the already-busy developers. To minimize the occurrence of bug reopenings, the potential causes and factors should be analyzed. In this paper, we explore 24 interaction factors to study their influence on bug reopenings. The data are extracted from Mylyn logs of four open-source projects. We first verify the negative impacts of bug reopenings. Then, we identify 17 factors that significantly influence the likelihood of bug reopenings using statistic tests. In addition, we build decision trees using interaction factors to predict bug reopenings and achieve good performance.\",\"PeriodicalId\":380881,\"journal\":{\"name\":\"2014 21st Asia-Pacific Software Engineering Conference\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 21st Asia-Pacific Software Engineering Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APSEC.2014.90\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 21st Asia-Pacific Software Engineering Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APSEC.2014.90","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Empirical Study on Interaction Factors Influencing Bug Reopenings
Bugs can be reopened after they have been closed due to identification of the actual cause, previous incorrect fixing, or better reproducing, etc. Reopened bugs may increase the cost in maintenance, degrade the overall quality of the software product, reduce the trust of users, and bring unnecessary work to the already-busy developers. To minimize the occurrence of bug reopenings, the potential causes and factors should be analyzed. In this paper, we explore 24 interaction factors to study their influence on bug reopenings. The data are extracted from Mylyn logs of four open-source projects. We first verify the negative impacts of bug reopenings. Then, we identify 17 factors that significantly influence the likelihood of bug reopenings using statistic tests. In addition, we build decision trees using interaction factors to predict bug reopenings and achieve good performance.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
