{"title":"Extracting and Modeling Product Line Functional Requirements","authors":"Nan Niu, S. Easterbrook","doi":"10.1109/RE.2008.49","DOIUrl":null,"url":null,"abstract":"We introduce an extractive approach to building a product line's requirements assets. We define the functional requirements profiles (FRPs) according to the linguistic characterization of a domain's action-oriented concerns, and show that FRPs can be extracted from a document based on domain-aware lexical affinities that bear a 'verb - direct object' relation. The validated FRPs are then amenable to semantic case analysis so as to uncover the variation structures. Finally, merging FRPs helps discover the requirements interdependencies. We use orthogonal variability modeling to represent the product line's external variability and constraints. We apply our approach to an auto-marker product line. The study shows our approach complements domain analysis by quickly offering insights into system functionalities and product line variabilities.","PeriodicalId":340621,"journal":{"name":"2008 16th IEEE International Requirements Engineering Conference","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"101","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 16th IEEE International Requirements Engineering Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RE.2008.49","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 101
Abstract
We introduce an extractive approach to building a product line's requirements assets. We define the functional requirements profiles (FRPs) according to the linguistic characterization of a domain's action-oriented concerns, and show that FRPs can be extracted from a document based on domain-aware lexical affinities that bear a 'verb - direct object' relation. The validated FRPs are then amenable to semantic case analysis so as to uncover the variation structures. Finally, merging FRPs helps discover the requirements interdependencies. We use orthogonal variability modeling to represent the product line's external variability and constraints. We apply our approach to an auto-marker product line. The study shows our approach complements domain analysis by quickly offering insights into system functionalities and product line variabilities.