{"title":"一个完整的文本合并算法,用于软件配置管理系统","authors":"Haifeng Shen, Chengzheng Sun","doi":"10.1109/CMPSAC.2004.1342846","DOIUrl":null,"url":null,"abstract":"Software configuration management (SCM) systems are very important for coordinating group efforts in developing large and complex software systems. The ability to support concurrent software development is the key to deliver high quality software with low time-to-market, where merging is the core enabling technique. Textual merging is the primary and the only successful merging function available in today's SCM systems. However none of them supports complete textual merging, which is not only very useful itself but also the foundation for syntactic and semantic textual merging. In this paper we propose a novel operation-based textual merging algorithm, which has the capability of supporting complete textual merging while still preserving the intentions of individual editing operations","PeriodicalId":355273,"journal":{"name":"Proceedings of the 28th Annual International Computer Software and Applications Conference, 2004. COMPSAC 2004.","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"A complete textual merging algorithm for software configuration management systems\",\"authors\":\"Haifeng Shen, Chengzheng Sun\",\"doi\":\"10.1109/CMPSAC.2004.1342846\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Software configuration management (SCM) systems are very important for coordinating group efforts in developing large and complex software systems. The ability to support concurrent software development is the key to deliver high quality software with low time-to-market, where merging is the core enabling technique. Textual merging is the primary and the only successful merging function available in today's SCM systems. However none of them supports complete textual merging, which is not only very useful itself but also the foundation for syntactic and semantic textual merging. In this paper we propose a novel operation-based textual merging algorithm, which has the capability of supporting complete textual merging while still preserving the intentions of individual editing operations\",\"PeriodicalId\":355273,\"journal\":{\"name\":\"Proceedings of the 28th Annual International Computer Software and Applications Conference, 2004. COMPSAC 2004.\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-09-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 28th Annual International Computer Software and Applications Conference, 2004. COMPSAC 2004.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CMPSAC.2004.1342846\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 28th Annual International Computer Software and Applications Conference, 2004. COMPSAC 2004.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CMPSAC.2004.1342846","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A complete textual merging algorithm for software configuration management systems
Software configuration management (SCM) systems are very important for coordinating group efforts in developing large and complex software systems. The ability to support concurrent software development is the key to deliver high quality software with low time-to-market, where merging is the core enabling technique. Textual merging is the primary and the only successful merging function available in today's SCM systems. However none of them supports complete textual merging, which is not only very useful itself but also the foundation for syntactic and semantic textual merging. In this paper we propose a novel operation-based textual merging algorithm, which has the capability of supporting complete textual merging while still preserving the intentions of individual editing operations