{"title":"User-centered system decomposition: Z-based requirements clustering","authors":"P. Hsia, Chih-Tung Hsu, D. Kung, L. Holder","doi":"10.1109/ICRE.1996.491437","DOIUrl":null,"url":null,"abstract":"Requirements clustering (RC) provides a differed approach to system decomposition, by enabling a system to be partitioned into user-recognizable components, where each component can be used, almost independently, to satisfy part of the user's needs. Requirements clustering is essential for a software development approach called incremental delivery (ID). A successful clustering of system requirements produces a set of useful, usable, and semi-independent clusters that can be developed and delivered to the customers in increments. The paper presents a requirements clustering process based on ER modeling, scenarios, and the formal specification notation Z.","PeriodicalId":152956,"journal":{"name":"Proceedings of the Second International Conference on Requirements Engineering","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Second International Conference on Requirements Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRE.1996.491437","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
Requirements clustering (RC) provides a differed approach to system decomposition, by enabling a system to be partitioned into user-recognizable components, where each component can be used, almost independently, to satisfy part of the user's needs. Requirements clustering is essential for a software development approach called incremental delivery (ID). A successful clustering of system requirements produces a set of useful, usable, and semi-independent clusters that can be developed and delivered to the customers in increments. The paper presents a requirements clustering process based on ER modeling, scenarios, and the formal specification notation Z.