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:
  • -;-;-;-;-

  • Venue:
  • QEST '09 Proceedings of the 2009 Sixth International Conference on the Quantitative Evaluation of Systems
  • Year:
  • 2009

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Abstract

The Markov Reward Model Checker (MRMC) is a software toolfor verifying properties over probabilistic models.It supports PCTL and CSL model checking, and their rewardextensions.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.