{"title":"使用动态分析和集群通过重用遗留代码实现服务","authors":"Andreas Fuhr, Tassilo Horn, Volker Riediger","doi":"10.1109/WCRE.2011.41","DOIUrl":null,"url":null,"abstract":"Migrating legacy systems towards Service-Oriented Architectures requires the identification of legacy code that is able to implement the new services. This paper proposes an approach combining dynamic analysis and data mining techniques to map legacy code to business processes and to identify code for service implementations based on this mapping. Validating the clustering solution in a first case study resulted in values of 70,6% in precision and 83,5% in recall.","PeriodicalId":350863,"journal":{"name":"2011 18th Working Conference on Reverse Engineering","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Using Dynamic Analysis and Clustering for Implementing Services by Reusing Legacy Code\",\"authors\":\"Andreas Fuhr, Tassilo Horn, Volker Riediger\",\"doi\":\"10.1109/WCRE.2011.41\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Migrating legacy systems towards Service-Oriented Architectures requires the identification of legacy code that is able to implement the new services. This paper proposes an approach combining dynamic analysis and data mining techniques to map legacy code to business processes and to identify code for service implementations based on this mapping. Validating the clustering solution in a first case study resulted in values of 70,6% in precision and 83,5% in recall.\",\"PeriodicalId\":350863,\"journal\":{\"name\":\"2011 18th Working Conference on Reverse Engineering\",\"volume\":\"66 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 18th Working Conference on Reverse Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WCRE.2011.41\",\"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 18th Working Conference on Reverse Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCRE.2011.41","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using Dynamic Analysis and Clustering for Implementing Services by Reusing Legacy Code
Migrating legacy systems towards Service-Oriented Architectures requires the identification of legacy code that is able to implement the new services. This paper proposes an approach combining dynamic analysis and data mining techniques to map legacy code to business processes and to identify code for service implementations based on this mapping. Validating the clustering solution in a first case study resulted in values of 70,6% in precision and 83,5% in recall.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
