On statistical model checking of stochastic systems

  • Authors:
  • Koushik Sen;Mahesh Viswanathan;Gul Agha

  • Affiliations:
  • Department of Computer Science, University of Illinois at Urbana-Champaign;Department of Computer Science, University of Illinois at Urbana-Champaign;Department of Computer Science, University of Illinois at Urbana-Champaign

  • Venue:
  • CAV'05 Proceedings of the 17th international conference on Computer Aided Verification
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

Statistical methods to model check stochastic systems have been, thus far, developed only for a sublogic of continuous stochastic logic (CSL) that does not have steady state operator and unbounded until formulas. In this paper, we present a statistical model checking algorithm that also verifies CSL formulas with unbounded untils. The algorithm is based on Monte Carlo simulation of the model and hypothesis testing of the samples, as opposed to sequential hypothesis testing. We have implemented the algorithm in a tool called VESTA, and found it to be effective in verifying several examples.