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The ins and outs of the probabilistic model checker MRMC
The ins and outs of the probabilistic model checker MRMC   (Citations: 2)
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The Markov Reward Model Checker (MRMC) is a software tool for verifying properties over probabilistic models. It supports PCTL and CSL model checking, and their reward extensions. Distinguishing features of MRMC are its support for computing time- and reward-bounded reachability probabilities, (property-driven) bisimulation minimization, and precise on-the-fly steady-state detection. Recent tool features include time-bounded reachability analysis for continuous-time Markov decision processes (CTMDPs) and CSL model checking by discrete-event simulation. This paper presents the tool’s current status and its implementation details.
Journal: Performance Evaluation - PE , vol. 68, no. 2, pp. 90-104, 2011
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