A Software Performance Evaluation Approach Using Stochastic Process Algebra Tools

نویسندگان

  • Abdelmalek Benzekri
  • Osman Salem
چکیده

In this paper we present an integrated approach to the functional and performance analysis of software modeling provided by Stochastic Process Algebra (SPA). Three SPA languages have been appeared in the last decade and are widely used for software architecture and performance evaluation. We present these languages with the difference between them and we show by an example the methodology which must be used for an integrated analysis.

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تاریخ انتشار 2003