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CCMC: A Conditional CSL Model Checker for Continuous-Time Markov Chains

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Automated Technology for Verification and Analysis

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 8172))

Abstract

We present CCMC (Conditional CSL Model Checker), a model checker for continuous-time Markov chains (CTMCs) with respect to properties specified in continuous-time stochastic logic (CSL). Existing CTMC model checkers such as PRISM or MRMC handle only binary CSL until path formulas. CCMC is the first tool that supports algorithms for analyzing multiple until path formulas. Moreover, CCMC supports a recent extension of CSL – conditional CSL – which makes it possible to verify a larger class of properties on CTMC models. Our tool is based on our recent algorithmic advances for CSL, that construct a stratified CTMC before performing transient probability analyses. The stratified CTMC is a product obtained from the original CTMC and an automaton extracted from a given formula, aiming to filter out the irrelevant paths and make the computation more efficient.

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Gao, Y., Hahn, E.M., Zhan, N., Zhang, L. (2013). CCMC: A Conditional CSL Model Checker for Continuous-Time Markov Chains. In: Van Hung, D., Ogawa, M. (eds) Automated Technology for Verification and Analysis. Lecture Notes in Computer Science, vol 8172. Springer, Cham. https://doi.org/10.1007/978-3-319-02444-8_36

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  • DOI: https://doi.org/10.1007/978-3-319-02444-8_36

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02443-1

  • Online ISBN: 978-3-319-02444-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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