{"title":"A Novel Method for Modeling and Evaluation of Uncertain Information Systems","authors":"A. Haroonabadi, M. Teshnehlab, A. Movaghar","doi":"10.1109/ICIT.2008.24","DOIUrl":null,"url":null,"abstract":"None of the processing models in the software development has explained the software systems performance evaluation and modeling; likewise, there exist uncertainty in the information systems because of the natural essence of requirements and this may cause other challenges in the processing of software development. By the definition of UML extended version (fuzzy UML), software functionality requirements that are stated in an uncertain way are supported; moreover, the concrete model is converted to formal model for modeling and performance evaluation of the software systems. This paper describes a methodology to develop a fuzzy coloured Petri net (F-CPN) model of a system. The F-CPN model can be analyzed by formal Petri net analysis techniques.","PeriodicalId":184201,"journal":{"name":"2008 International Conference on Information Technology","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Conference on Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIT.2008.24","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
None of the processing models in the software development has explained the software systems performance evaluation and modeling; likewise, there exist uncertainty in the information systems because of the natural essence of requirements and this may cause other challenges in the processing of software development. By the definition of UML extended version (fuzzy UML), software functionality requirements that are stated in an uncertain way are supported; moreover, the concrete model is converted to formal model for modeling and performance evaluation of the software systems. This paper describes a methodology to develop a fuzzy coloured Petri net (F-CPN) model of a system. The F-CPN model can be analyzed by formal Petri net analysis techniques.
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