{"title":"TraCter:用于候选跟踪链接聚类的工具","authors":"Anas Mahmoud, Nan Niu","doi":"10.1109/RE.2011.6051663","DOIUrl":null,"url":null,"abstract":"Automated tracing tools employ information retrieval (IR) methods to recover traceability links between software artifacts. A large body of research is available on the back-end design of such tools, including artifacts indexing and the underlying IR mechanism. In contrast, less attention has been paid to the front-end presentation of the retrieved results. This paper describes TraCter, a result categorization tool with novel search user interfaces. We discuss the key features of TraCter and its potential improvements over previous work.","PeriodicalId":385129,"journal":{"name":"2011 IEEE 19th International Requirements Engineering Conference","volume":"129 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":"{\"title\":\"TraCter: A tool for candidate traceability link clustering\",\"authors\":\"Anas Mahmoud, Nan Niu\",\"doi\":\"10.1109/RE.2011.6051663\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Automated tracing tools employ information retrieval (IR) methods to recover traceability links between software artifacts. A large body of research is available on the back-end design of such tools, including artifacts indexing and the underlying IR mechanism. In contrast, less attention has been paid to the front-end presentation of the retrieved results. This paper describes TraCter, a result categorization tool with novel search user interfaces. We discuss the key features of TraCter and its potential improvements over previous work.\",\"PeriodicalId\":385129,\"journal\":{\"name\":\"2011 IEEE 19th International Requirements Engineering Conference\",\"volume\":\"129 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-08-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"19\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE 19th International Requirements Engineering Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RE.2011.6051663\",\"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 IEEE 19th International Requirements Engineering Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RE.2011.6051663","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
TraCter: A tool for candidate traceability link clustering
Automated tracing tools employ information retrieval (IR) methods to recover traceability links between software artifacts. A large body of research is available on the back-end design of such tools, including artifacts indexing and the underlying IR mechanism. In contrast, less attention has been paid to the front-end presentation of the retrieved results. This paper describes TraCter, a result categorization tool with novel search user interfaces. We discuss the key features of TraCter and its potential improvements over previous work.