PRISM: Probabilistic symbolic model checker. In this paper we describe PRISM, a tool being developed at the University of Birmingham for the analysis of probabilistic systems. PRISM supports three probabilistic models: discrete-time Markov chains, Markov decision processes and continuous-time Markov chains. Analysis is performed through model checking such systems against specifications written in the probabilistic temporal logics PCTL and CSL. The tool features three model checking engines: one symbolic, using BDDs (binary decision diagrams) and MTBDDs (multi-terminal BDDs); one based on sparse matrices; and one which combines both symbolic and sparse matrix methods. PRISM has been successfully used to analyse probabilistic termination, performance, and quality of service properties for a range of systems, including randomized distributed algorithms, manufacturing systems and workstation clusters.

References in zbMATH (referenced in 395 articles , 2 standard articles )

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  9. Gutierrez, Julian; Harrenstein, Paul; Perelli, Giuseppe; Wooldridge, Michael: Nash equilibrium and bisimulation invariance (2019)
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  17. Baier, Christel; de Alfaro, Luca; Forejt, Vojtěch; Kwiatkowska, Marta: Model checking probabilistic systems (2018)
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  20. Bortolussi, Luca; Lanciani, Roberta; Nenzi, Laura: Model checking Markov population models by stochastic approximations (2018)

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