The ins and outs of the probabilistic model checker MRMC

  • Authors:
  • Joost-Pieter Katoen;Ivan S. Zapreev;Ernst Moritz Hahn;Holger Hermanns;David N. Jansen

  • Affiliations:
  • RWTH Aachen University, 52056 Aachen, Germany;CWI, 1098XG Amsterdam, The Netherlands;Saarland University, 66123 Saarbrücken, Germany;Saarland University, 66123 Saarbrücken, Germany;Radboud Universiteit, 6500GL Nijmegen, The Netherlands

  • Venue:
  • Performance Evaluation
  • Year:
  • 2011

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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.