We propose to perform statistical probabilistic model checking by using perfect simulation in order to verify steady-state and time unbounded until formulas ...

Perfect simulation is an extension of Markov Chain Monte Carlo methods that allows us to obtain exact steady-state samples of the underlying Markov chain, ...

Abstract. In this paper, we propose to perform the statistical model checking of Markov chains by generating sample paths by means of per- fect simulation.

Abstract. We propose to perform statistical probabilistic model check- ing by using perfect simulation in order to verify steady-state and time.

We propose to apply the perfect simulation to perform statistical model checking of large Markov chains. Perfect simulation is an extension of Monte Carlo ...

We propose to perform statistical probabilistic model checking by using perfect simulation in order to verify steady-state and time unbounded until formulas ...

In this article, we survey SMC algorithms, techniques, and tools, while emphasizing current limitations and tradeoffs between precision and scalability.

Another way to verify quantitative properties is to use a simulation-based approach. The key idea is to deduce whether or not the system satisfies the property ...

Automatic formal verification technique for the analysis of systems which exhibit stochastic behavior. Given a model M, a state s, and a property Φ, ...

Statistical model checking techniques have been shown to be effective for approximate model checking on large stochastic systems, where explicit representation ...