The Ins and Outs of the Probabilistic Model Checker MRMC

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 uniform CTMDPs and CSL model checking by discrete-event simulation. This paper presents the tool’s current status and its implementation details.

• Type: Conference
• Year: 2009
• Where: QEST
• Authors: Joost-Pieter Katoen, Ivan S. Zapreev, Ernst Moritz Hahn, Holger Hermanns, David N. Jansen
• Keywords: CSL Model Checking, Markov Reward Model, QEST 2009, Quantitative Evaluation Of Systems, Reward-bounded Reachability Probabilities