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A Probabilistic Extension of UML Statecharts

Specification and Verification
  • David N. Jansen
  • Holger Hermanns
  • Joost-Pieter Katoen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2469)

Abstract

This paper introduces means to specify system randomness within UML statecharts, and to verify probabilistic temporal properties over such enhanced statecharts which we call probabilistic UML statecharts. To achieve this, we develop a general recipe to extend a statechart semantics with discrete probability distributions, resulting in Markov decision processes as semantic models. We apply this recipe to the requirements-level UML semantics of [8]. Properties of interest for probabilistic statecharts are expressed in PCTL, a probabilistic variant of CTL for processes that exhibit both non-determinism and probabilities. Verification is performed using the model checker Prism. A model checking example shows the feasibility of the suggested approach.

Keywords

Markov decision processes model checking probabilities semantics UML statecharts 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • David N. Jansen
    • 1
  • Holger Hermanns
    • 2
  • Joost-Pieter Katoen
    • 2
  1. 1.Information Systems GroupUniversiteit TwenteAE EnschedeThe Netherlands
  2. 2.Formal Methods and Tools GroupUniversiteit TwenteAE EnschedeThe Netherlands

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