{"title":"讲述软件进化的故事","authors":"M. Mahoney","doi":"10.1109/AGILE.2011.22","DOIUrl":null,"url":null,"abstract":"Software systems evolve over time. The software development community is losing a great deal of information about the systems we create because of the way we currently record history. This paper argues that we need to capture more fine-grained historical information, like the kind that spreads in a pair programming session, and use it to tell stories about how software systems evolve over time. The paper describes a tool that is currently in development that hopes to achieve this goal.","PeriodicalId":133654,"journal":{"name":"2011 AGILE Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Telling Stories about Software Evolution\",\"authors\":\"M. Mahoney\",\"doi\":\"10.1109/AGILE.2011.22\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Software systems evolve over time. The software development community is losing a great deal of information about the systems we create because of the way we currently record history. This paper argues that we need to capture more fine-grained historical information, like the kind that spreads in a pair programming session, and use it to tell stories about how software systems evolve over time. The paper describes a tool that is currently in development that hopes to achieve this goal.\",\"PeriodicalId\":133654,\"journal\":{\"name\":\"2011 AGILE Conference\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-08-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 AGILE Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AGILE.2011.22\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 AGILE Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AGILE.2011.22","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Software systems evolve over time. The software development community is losing a great deal of information about the systems we create because of the way we currently record history. This paper argues that we need to capture more fine-grained historical information, like the kind that spreads in a pair programming session, and use it to tell stories about how software systems evolve over time. The paper describes a tool that is currently in development that hopes to achieve this goal.