This paper summarizes our experience with using Knowledge Discovery in Data (KDD) methodology for automated requirements tracing, and discusses our insights.
本文总结了我们使用数据中的知识发现(KDD)方法进行自动化需求跟踪的经验,并讨论了我们的见解。
{"title":"Automating Requirements Traceability: Two Decades of Learning from KDD","authors":"Alex Dekhtyar, J. Hayes","doi":"10.1109/D4RE.2018.00009","DOIUrl":"https://doi.org/10.1109/D4RE.2018.00009","url":null,"abstract":"This paper summarizes our experience with using Knowledge Discovery in Data (KDD) methodology for automated requirements tracing, and discusses our insights.","PeriodicalId":179402,"journal":{"name":"2018 1st International Workshop on Learning from other Disciplines for Requirements Engineering (D4RE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127804715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}