Model checking conditional CSL for continuous-time Markov chains

  • Yang Gao
  • , Ming Xu
  • , Naijun Zhan
  • , Lijun Zhang*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

In this paper, we consider the model-checking problem of continuous-time Markov chains (CTMCs) with respect to conditional logic. To the end, we extend Continuous Stochastic Logic introduced in Aziz et al. (2000) [1] to Conditional Continuous Stochastic Logic (CCSL) by introducing a conditional probabilistic operator. CCSL allows us to express a richer class of properties for CTMCs. Based on a parameterized product obtained from the CTMC and an automaton extracted from a given CCSL formula, we propose an approximate model checking algorithm and analyse its complexity. Crown

Original languageEnglish
Pages (from-to)44-50
Number of pages7
JournalInformation Processing Letters
Volume113
Issue number1-2
DOIs
StatePublished - Jan 2013

Keywords

  • Conditional logic
  • Continuous stochastic logic
  • Continuous-time Markov chains
  • Formal methods
  • Probabilistic systems

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