N. Alhindawi, Omar Meqdadi, Brian Bartman, Jonathan I. Maletic
{"title":"基于跟踪实验室的解决方案,用于识别使用LSI的可追溯性链接","authors":"N. Alhindawi, Omar Meqdadi, Brian Bartman, Jonathan I. Maletic","doi":"10.1109/TEFSE.2013.6620159","DOIUrl":null,"url":null,"abstract":"An information retrieval technique, latent semantic indexing (LSI), is used to automatically identify traceability links from system documentation to program source code. The experiment is performed in the TraceLab framework. The solution provides templates and components for building and querying LSI space and datasets (corpora) that can be used as inputs for these components. The proposed solution is evaluated on traceability links already discovered by mining adaptive commits of the open source system KDE/Koffice. The results show that the approach can identify of traceability links with high precision using TraceLab components.","PeriodicalId":330587,"journal":{"name":"2013 7th International Workshop on Traceability in Emerging Forms of Software Engineering (TEFSE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"A tracelab-based solution for identifying traceability links using LSI\",\"authors\":\"N. Alhindawi, Omar Meqdadi, Brian Bartman, Jonathan I. Maletic\",\"doi\":\"10.1109/TEFSE.2013.6620159\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An information retrieval technique, latent semantic indexing (LSI), is used to automatically identify traceability links from system documentation to program source code. The experiment is performed in the TraceLab framework. The solution provides templates and components for building and querying LSI space and datasets (corpora) that can be used as inputs for these components. The proposed solution is evaluated on traceability links already discovered by mining adaptive commits of the open source system KDE/Koffice. The results show that the approach can identify of traceability links with high precision using TraceLab components.\",\"PeriodicalId\":330587,\"journal\":{\"name\":\"2013 7th International Workshop on Traceability in Emerging Forms of Software Engineering (TEFSE)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 7th International Workshop on Traceability in Emerging Forms of Software Engineering (TEFSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TEFSE.2013.6620159\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 7th International Workshop on Traceability in Emerging Forms of Software Engineering (TEFSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TEFSE.2013.6620159","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A tracelab-based solution for identifying traceability links using LSI
An information retrieval technique, latent semantic indexing (LSI), is used to automatically identify traceability links from system documentation to program source code. The experiment is performed in the TraceLab framework. The solution provides templates and components for building and querying LSI space and datasets (corpora) that can be used as inputs for these components. The proposed solution is evaluated on traceability links already discovered by mining adaptive commits of the open source system KDE/Koffice. The results show that the approach can identify of traceability links with high precision using TraceLab components.