{"title":"签名更改模式的属性","authors":"Sunghun Kim, E. J. Whitehead, J. Bevan","doi":"10.1109/ICSM.2006.47","DOIUrl":null,"url":null,"abstract":"Understanding function signature change properties and evolution patterns is important for researchers concerned with alleviating signature change impacts, understanding software evolution, and predicting future evolution patterns. We provide detailed signature change properties by analyzing seven software project histories to reveal multiple properties of signature changes, including their kind, frequency, correlation with other changes, number of parameter changes, and evolution patterns of signature change kinds. We show that signature changes can be used as measurement aid for software evolution analysis","PeriodicalId":436673,"journal":{"name":"2006 22nd IEEE International Conference on Software Maintenance","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":"{\"title\":\"Properties of Signature Change Patterns\",\"authors\":\"Sunghun Kim, E. J. Whitehead, J. Bevan\",\"doi\":\"10.1109/ICSM.2006.47\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Understanding function signature change properties and evolution patterns is important for researchers concerned with alleviating signature change impacts, understanding software evolution, and predicting future evolution patterns. We provide detailed signature change properties by analyzing seven software project histories to reveal multiple properties of signature changes, including their kind, frequency, correlation with other changes, number of parameter changes, and evolution patterns of signature change kinds. We show that signature changes can be used as measurement aid for software evolution analysis\",\"PeriodicalId\":436673,\"journal\":{\"name\":\"2006 22nd IEEE International Conference on Software Maintenance\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-09-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"22\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 22nd IEEE International Conference on Software Maintenance\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSM.2006.47\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 22nd IEEE International Conference on Software Maintenance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSM.2006.47","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Understanding function signature change properties and evolution patterns is important for researchers concerned with alleviating signature change impacts, understanding software evolution, and predicting future evolution patterns. We provide detailed signature change properties by analyzing seven software project histories to reveal multiple properties of signature changes, including their kind, frequency, correlation with other changes, number of parameter changes, and evolution patterns of signature change kinds. We show that signature changes can be used as measurement aid for software evolution analysis
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
