[KatoenZHHJ11] The ins and outs of the probabilistic model checker MRMC Katoen, J.-P.; Zapreev, I. S.; Hahn, E. M.; Hermanns, H. and Jansen, D. N. In Performance Evaluation, 68: 90-104, 2011.
Downloads: pdf, bibURL: http://dx.doi.org/10.1016/j.peva.2010.04.001 Abstract. 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.