{"title":"Domain-based change propagation analysis: An enterprise system case study","authors":"Amir Aryani, I. Peake, M. Hamilton","doi":"10.1109/ICSM.2010.5609743","DOIUrl":null,"url":null,"abstract":"Change propagation has mainly been estimated by maintenance history or source code analysis. However, sometimes history and code are inaccessible, or impractical to analyse, such as for heterogeneous sources.","PeriodicalId":101801,"journal":{"name":"2010 IEEE International Conference on Software Maintenance","volume":"96 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Conference on Software Maintenance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSM.2010.5609743","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 21
Abstract
Change propagation has mainly been estimated by maintenance history or source code analysis. However, sometimes history and code are inaccessible, or impractical to analyse, such as for heterogeneous sources.