Probabilistic Model Checking on Propositional Projection Temporal Logic

نویسنده

  • Xiaoxiao Yang
چکیده

Propositional Projection Temporal Logic (PPTL) is a useful formalism for reasoning about period of time in hardware and software systems and can handle both sequential and parallel compositions. In this paper, based on discrete time Markov chains, we investigate the probabilistic model checking approach for PPTL towards verifying arbitrary linear-time properties. We first define a normal form graph, denoted by NFG inf , to capture the infinite paths of PPTL formulas. Then we present an algorithm to generate the NFG inf . Since discretetime Markov chains are the deterministic probabilistic models, we further give an algorithm to determinize and minimize the nondeterministic NFG inf following the Safra’s construction.

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تاریخ انتشار 2011