Name
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. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/s10009-005-0187-8 | STTT |
Keywords | Field | DocType |
dis- crete event simulation,temporal logic,statistical solution technique,hypothesis testing,numerical analysis,hypothesis-testing problem,statistical technique,transient analysis,parameter-estimation problem,stochastic system,statistical probabilistic model checking,statistical approach,verifying csl query,markov chains,model checking,probabilistic verification,csl model checking,uni- formisation,sequential analysis,solution technique,parameter estimation,hypothesis test,markov chain | Model checking,Computer science,Markov chain,Algorithm,Acceptance sampling,Sampling (statistics),Temporal logic,Probabilistic logic,System identification,Statistical hypothesis testing | Journal |
Volume | Issue | ISSN |
8 | 3 | 1433-2787 |
Citations | PageRank | References |
104 | 4.35 | 23 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Håkan L. S. Younes | 1 | 996 | 60.21 |
| Marta Z. Kwiatkowska | 2 | 6118 | 322.21 |
| Gethin Norman | 3 | 4163 | 193.68 |
| David Parker | 4 | 4018 | 184.00 |