Abstract
We demonstrate how probabilistic model checking, a formal verification method for the analysis of systems which exhibit stochastic behaviour, can be applied to the study of dependability properties of software-based control systems. We provide an overview of these techniques and of the probabilistic model checking tool PRISM, illustrating the usefulness of the approach through a small case study. By using existing formalisms and tool support, we show how it is possible to construct large and complex Markov models from an intuitive highlevel description. Furthermore, we are able to take advantage of the efficient implementation techniques which have been developed for these tools.
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