Statistical Model Checking for Steady State Dependability Verification

@article{Rabih2009StatisticalMC,
  title={Statistical Model Checking for Steady State Dependability Verification},
  author={Diana El Rabih and Nihal Pekergin},
  journal={2009 Second International Conference on Dependability},
  year={2009},
  pages={166-169}
}
We propose to apply the perfect simulation to perform statistical model checking of large Markov chains. Perfect simulation is an extension of Monte Carlo Markov Chain (MCMC) methods, it allows us to obtain exact steady-state samples of the underlying chain thus it avoids the burn-in time problem to detect the steady-state. The statistical model checking by MCMC methods has been already proposed in the last years. However the steady-state formulas can not be checked by this approach because of… CONTINUE READING

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