Abstract
Probabilistic model checking is an automatic formal verification technique for analysing quantitative properties of systems which exhibit stochastic behaviour. PRISM is a probabilistic model checking tool which has already been successfully deployed in a wide range of application domains, from real-time communication protocols to biological signalling pathways. The tool has recently undergone a significant amount of development. Major additions include facilities to manually explore models, Monte-Carlo discrete-event simulation techniques for approximate model analysis (including support for distributed simulation) and the ability to compute cost- and reward-based measures, e.g. “the expected energy consumption of the system before the first failure occurs”. This paper presents an overview of all the main features of PRISM. More information can be found on the website: www.cs.bham.ac.uk/~dxp/prism.
Supported in part by EPSRC grants GR/S11107 and GR/S46727 and Microsoft Research Cambridge contract MRL 2005-44.
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PRISM web site, http://www.cs.bham.ac.uk/~dxp/prism
Rutten, J., Kwiatkowska, M., Norman, G., Parker, D.: Mathematical Techniques for Analyzing Concurrent and Probabilistic Systems. In: Panangaden, P., van Breugel, F. (eds.). CRM Monograph Series, vol. 23. AMS (2004)
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© 2006 Springer-Verlag Berlin Heidelberg
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Hinton, A., Kwiatkowska, M., Norman, G., Parker, D. (2006). PRISM: A Tool for Automatic Verification of Probabilistic Systems. In: Hermanns, H., Palsberg, J. (eds) Tools and Algorithms for the Construction and Analysis of Systems. TACAS 2006. Lecture Notes in Computer Science, vol 3920. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11691372_29
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DOI: https://doi.org/10.1007/11691372_29
Publisher Name: Springer, Berlin, Heidelberg
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