PRISM: probabilistic model checking for performance and reliability analysis

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 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.

DOI: 10.1145/1530873.1530882

Extracted Key Phrases

4 Figures and Tables

0204060200920102011201220132014201520162017
Citations per Year

217 Citations

Semantic Scholar estimates that this publication has 217 citations based on the available data.

See our FAQ for additional information.

Cite this paper

@article{Kwiatkowska2009PRISMPM, title={PRISM: probabilistic model checking for performance and reliability analysis}, author={Marta Z. Kwiatkowska and Gethin Norman and David Parker}, journal={SIGMETRICS Performance Evaluation Review}, year={2009}, volume={36}, pages={40-45} }