Lightweight Statistical Model Checking in Nondeterministic Continuous Time (Artifact)

  • Arnd Hartmanns (Creator)
  • Pedro R. D’Argenio (Contributor)
  • Sean Sedwards (Contributor)



    In our ISoLA 2018 paper titled "Lightweight Statistical Model Checking in Nondeterministic Continuous Time", we describe the challenges and state of the art in applying lightweight scheduler sampling to three continuous-time formalisms: After a review of recent work on exploiting discrete abstractions for probabilistic timed automata, we discuss scheduler sampling for Markov automata and apply it on two case studies. We provide further insights into the tradeoffs between scheduler classes for stochastic automata. Making use of our implementations of lightweight scheduler sampling in the 'modes' statistical model checker within the Modest Toolset, we present extended experiments and new visualisations of the distribution of schedulers. This artifact contains (1) the version of 'modes' and (2) the model files used for our experiments, (3) the raw experimental results, (4) summarising tabular views of those results (from which we derived the tables of results and histograms shown in the paper), and (5) the Linux shell scripts that we used to perform the experiments.

    Formal verification, Lightweight scheduler sampling, Nondeterminism, Statistical model checking
    Date made available2018
    Publisher4TU.Centre for Research Data
    • Lightweight Statistical Model Checking in Nondeterministic Continuous Time

      D'Argenio, P. R., Hartmanns, A. & Sedwards, S., 2018, Proceedings of the 8th International Symposium on Leveraging Applications of Formal Methods, Verification and Validation (ISoLA 2018). Margaria, T. & Steffen, B. (eds.). Springer, Vol. 11245. p. 336-353 18 p. (Lecture Notes in Computer Science; vol. 11245).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

      12 Citations (Scopus)

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