PRISM: Probabilistic model checking for performance and reliability analysis

Kwiatkowska, M., Norman, G. and Parker, D. (2009) PRISM: Probabilistic model checking for performance and reliability analysis. ACM SIGMETRICS Performance Evaluation Review, 36(4), pp. 40-45. (doi: 10.1145/1530873.1530882)

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Probabilistic model checking is a formal verification technique for the modelling and analysis of stochastic systems. It has proved to be useful for studying a wide range of quantitative properties of models taken from many diffierent application domains. This includes, for example, performance and reliability properties of computer and communication systems. In this paper, we give an overview of the probabilistic model checking tool PRISM, focusing in particular on its support for continuous-time Markov chains and Markov reward models, and how these can be used to analyse performability properties.

Item Type:Articles
Additional Information:Special issue on tools for computer performance modeling and reliability analysis
Glasgow Author(s) Enlighten ID:Norman, Dr Gethin
Authors: Kwiatkowska, M., Norman, G., and Parker, D.
Subjects:Q Science > QA Mathematics > QA76 Computer software
College/School:College of Science and Engineering > School of Computing Science
Journal Name:ACM SIGMETRICS Performance Evaluation Review
Journal Abbr.:Performance Evaluation Review
ISSN (Online):1557-9484

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