[YKNP06] Håkan Younes, Marta Kwiatkowska, Gethin Norman and David Parker. Numerical vs. Statistical Probabilistic Model Checking. International Journal on Software Tools for Technology Transfer (STTT), 8(3), pages 216-228, Springer. June 2006. [ps.gz] [pdf] [bib]
Downloads:  ps.gz ps.gz (128 KB)  pdf pdf (448 KB)  bib bib
Notes: The original publication is available at www.springerlink.com.
Abstract. Numerical analysis based on uniformisation and statistical techniques based on sampling and simulation are two distinct approaches for transient analysis of stochastic systems. We compare the two solution techniques when applied to the verification of time-bounded until formulae in the temporal stochastic logic CSL, both theoretically and through empirical evaluation on a set of case studies. Our study differs from most previous comparisons of numerical and statistical approaches in that CSL model checking is a hypothesis testing problem rather than a parameter estimation problem. We can therefore rely on highly efficient sequential acceptance sampling tests, which enables statistical solution techniques to quickly return a result with some uncertainty. We also propose a novel combination of the two solution techniques for verifying CSL queries with nested probabilistic operators.