DocumentCode :
2089656
Title :
A Novel Method for Modeling and Evaluation of Uncertain Information Systems
Author :
Haroonabadi, Ali ; Teshnehlab, Mohammad ; Movaghar, Ali
Author_Institution :
Sci. & Res. Branch, Azad Univ., Tehran, Iran
fYear :
2008
fDate :
17-20 Dec. 2008
Firstpage :
238
Lastpage :
243
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.
Keywords :
Petri nets; Unified Modeling Language; formal specification; fuzzy set theory; software performance evaluation; F-CPN model; formal Petri net analysis; formal model; fuzzy UML; fuzzy coloured Petri net; software functionality requirement; software systems modeling; software systems performance evaluation; uncertain information system; Analytical models; Fuzzy systems; Information systems; Object oriented modeling; Performance analysis; Programming; Software performance; Software systems; Uncertainty; Unified modeling language; Fuzzy coloured Petri net; Unified Modeling Language; fuzzy system; software development model; software performance evaluation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology, 2008. ICIT '08. International Conference on
Conference_Location :
Bhubaneswar
Print_ISBN :
978-1-4244-3745-0
Type :
conf
DOI :
10.1109/ICIT.2008.24
Filename :
4731333
Link To Document :
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