{"title":"检查模糊软件需求规范的潜力","authors":"Daniel T. Joyce","doi":"10.1016/1069-0115(94)90013-2","DOIUrl":null,"url":null,"abstract":"<div><p>This paper looks at the possibility of using fuzzy terms in a software requirements specification. Potential benefits are reviewed. Methods for testing whether a fuzzy specification is met are investigated. Ways of modeling criticality and rigidity of specifications using fuzzy approaches are also identified. An example based on query response times is used throughout the paper. The results of a pilot study to see whether computer response time requirements can be fuzzified are described.</p></div>","PeriodicalId":100668,"journal":{"name":"Information Sciences - Applications","volume":"2 2","pages":"Pages 85-102"},"PeriodicalIF":0.0000,"publicationDate":"1994-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/1069-0115(94)90013-2","citationCount":"0","resultStr":"{\"title\":\"Examining the potential of fuzzy software requirements specifications\",\"authors\":\"Daniel T. Joyce\",\"doi\":\"10.1016/1069-0115(94)90013-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This paper looks at the possibility of using fuzzy terms in a software requirements specification. Potential benefits are reviewed. Methods for testing whether a fuzzy specification is met are investigated. Ways of modeling criticality and rigidity of specifications using fuzzy approaches are also identified. An example based on query response times is used throughout the paper. The results of a pilot study to see whether computer response time requirements can be fuzzified are described.</p></div>\",\"PeriodicalId\":100668,\"journal\":{\"name\":\"Information Sciences - Applications\",\"volume\":\"2 2\",\"pages\":\"Pages 85-102\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/1069-0115(94)90013-2\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Information Sciences - Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/1069011594900132\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Sciences - Applications","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/1069011594900132","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Examining the potential of fuzzy software requirements specifications
This paper looks at the possibility of using fuzzy terms in a software requirements specification. Potential benefits are reviewed. Methods for testing whether a fuzzy specification is met are investigated. Ways of modeling criticality and rigidity of specifications using fuzzy approaches are also identified. An example based on query response times is used throughout the paper. The results of a pilot study to see whether computer response time requirements can be fuzzified are described.
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