{"title":"vcs -分析仪软件演化实证分析","authors":"F. Fontana, Matteo Rolla, M. Zanoni","doi":"10.1145/2652524.2652599","DOIUrl":null,"url":null,"abstract":"Version Control Systems (VCSs) provide historical information that can be used to perform deep analyses on the evolution of a software project, with the aim of enhancing the quality of the system and predicting software evolution.","PeriodicalId":124452,"journal":{"name":"International Symposium on Empirical Software Engineering and Measurement","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"VCS-analyzer for software evolution empirical analysis\",\"authors\":\"F. Fontana, Matteo Rolla, M. Zanoni\",\"doi\":\"10.1145/2652524.2652599\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Version Control Systems (VCSs) provide historical information that can be used to perform deep analyses on the evolution of a software project, with the aim of enhancing the quality of the system and predicting software evolution.\",\"PeriodicalId\":124452,\"journal\":{\"name\":\"International Symposium on Empirical Software Engineering and Measurement\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-09-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Symposium on Empirical Software Engineering and Measurement\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2652524.2652599\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Symposium on Empirical Software Engineering and Measurement","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2652524.2652599","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
VCS-analyzer for software evolution empirical analysis
Version Control Systems (VCSs) provide historical information that can be used to perform deep analyses on the evolution of a software project, with the aim of enhancing the quality of the system and predicting software evolution.