[KNP09a] Marta Kwiatkowska, Gethin Norman and David Parker. PRISM: Probabilistic Model Checking for Performance and Reliability Analysis. ACM SIGMETRICS Performance Evaluation Review, 36(4), pages 40-45, ACM. March 2009. [pdf] [bib] [Provides an overview of PRISM and its application to performance and and reliability analysis.]
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Abstract. 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 different 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.