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文章基本信息

  • 标题:Designing a Software Tool for Evaluating Qualitative Parameters
  • 本地全文:下载
  • 作者:H. Motameni ; A. Movaghar ; M. Ebrahimi
  • 期刊名称:World Applied Sciences Journal
  • 印刷版ISSN:1818-4952
  • 电子版ISSN:1991-6426
  • 出版年度:2008
  • 卷号:3
  • 期号:04
  • 出版社:International Digital Organization for Scientific Information Publications
  • 摘要:

    UML is known as one of the most common methods in software engineering. Since this
    language is semi-formal, many researches and effort have been performed to transform this language into
    formal methods including Petri nets. The quality of an architectural design of a software system has a great
    influence on achieving non-functional requirements to the system. Thus, the operation of verification and
    validation of the qualitative and nonfunctional parameters could be achieved with more ability. In this
    paper, a case tool named AriaPN which is presented for calculating performance parameters from
    Generalized Stochastic Petri Net (GSPN) to be able to analyze the stochastic behavior of the system. We
    discuss about them in this paper in addition to a case study.

  • 关键词:Software engineering · UML · Generalized Stochastic Petri Net (GSPN) · Continuous TimeMarkov Chain (CTMC) · Non-functional parameters · markov reward models · case tool
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