iscasMc: A Web-Based Probabilistic Model Checker

  • Ernst Moritz Hahn
  • Yi Li
  • Sven Schewe
  • Andrea Turrini
  • Lijun Zhang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8442)


We introduce the web-based model checker iscasMc for probabilistic systems (see ). This Java application offers an easy-to-use web interface for the evaluation of Markov chains and decision processes against PCTL and PCTL* specifications. Compared to PRISM or MRMC, iscasMc is particularly efficient in evaluating the probabilities of LTL properties.


Model Checker Markov Decision Process Reachability Problem Work Thread Probabilistic Model Checker 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Ernst Moritz Hahn
    • 1
  • Yi Li
    • 2
  • Sven Schewe
    • 3
  • Andrea Turrini
    • 1
  • Lijun Zhang
    • 1
  1. 1.State Key Laboratory of Computer Science, Institute of SoftwareChinese Academy of SciencesChina
  2. 2.LMAM & Department of Information Science, School of Math. SciencesPeking UniversityChina
  3. 3.Department of Computer ScienceUniversity of LiverpoolUK

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