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. This 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. This suggests that statistical techniques can be useful
as a first resort during system prototyping, rather than as a last
resort as often suggested. We also propose a novel combination of the
two solution techniques for verifying CSL queries with nested
probabilistic operators.
Full paper: PDF (15 pages, 26 references)
© Springer-Verlag Berlin Heidelberg 2004
Presentation: PPT, PDF (39 slides)
Citings
Usa Sammapun, Insup Lee, and Oleg Sokolsky. 2005. RT-MaC: Runtime monitoring and checking of quantitative and probabilistic properties. In Proceedings of the 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 147–153. IEEE Computer Society.
Koushik Sen, Mahesh Viswanathan, and Gul Agha. 2004. Learning continuous time Markov chains from sample executions. In Proceedings of the First International Conference on the Quantitative Evaluation of Systems, 146–155. IEEE Computer Society.
Koushik Sen, Mahesh Viswanathan, and Gul Agha. 2004. Statistical model checking of black-box probabilistic systems. In Proceedings of the 16th International Conference on Computer Aided Verification, 202–215. Springer.
Håkan L. S. Younes | ||
Last modified: Thu May 11 14:56:58 EDT 2006 |