{"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}
引用次数: 2
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.