Steady state property verification of very large systems

Abstract : Model checking of probabilistic models can be done either by numerical analysis or by simulation and statistical methods. In this paper, we compare the efficiency and the scalability of these approaches when they are applied to the verification of steady state properties of very large models. We provide an experimental comparison study between the statistical model checking using perfect sampling, the numerical method implemented in model checker PRISM and the statistical model checking implemented in model checker MRMC for the verification of CSL steady state properties. We show that the statistical approach using perfect sampling is generally more efficient than the two other approaches and it allows us to consider very large models and to verify rare event properties efficiently.
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International Journal of Critical Computer-Based Systems, Inderscience, 2011, 2, pp.309―331
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https://hal.inria.fr/hal-00788769
Contributeur : Arnaud Legrand <>
Soumis le : vendredi 15 février 2013 - 11:09:55
Dernière modification le : mercredi 14 décembre 2016 - 01:09:20

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  • HAL Id : hal-00788769, version 1

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Diana Elrabih, Gaël Gorgo, Nihal Pekergin, Jean-Marc Vincent. Steady state property verification of very large systems. International Journal of Critical Computer-Based Systems, Inderscience, 2011, 2, pp.309―331. 〈hal-00788769〉

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