Model checking for performability

C. Baier, E.M. Hahn, B.R. Haverkort, H. Hermanns, J.-P. Katoen

    Research output: Contribution to journalArticleAcademicpeer-review

    21 Citations (Scopus)
    14 Downloads (Pure)


    This paper gives a bird's-eye view of the various ingredients that make up a modern, model-checking-based approach to performability evaluation: Markov reward models, temporal logics and continuous stochastic logic, model-checking algorithms, bisimulation and the handling of non-determinism. A short historical account as well as a large case study complete this picture. In this way, we show convincingly that the smart combination of performability evaluation with stochastic model-checking techniques, developed over the last decade, provides a powerful and unified method of performability evaluation, thereby combining the advantages of earlier approaches.
    Original languageEnglish
    Pages (from-to)751-795
    Number of pages45
    JournalMathematical structures in computer science
    Issue numberSpecial Issue 04
    Publication statusPublished - Aug 2013


    • EC Grant Agreement nr.: FP7/318490
    • EC Grant Agreement nr.: FP7/2007-2013


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