Model Checking by Censoring Markov Chains and Stochastic Comparison

Abstract : We study how to combine the censoring technique for Markov chains and the strong stochastic comparison to perform model checking of discrete-time Markov chains. Our goal is to reduce the complexity of the model checking in order to be able to consider numerically intractable models. In model checking we do not need the exact values but we must decide if the required guarantees are satisfied or not. Thus bounding methods are suitable in this context : if the bounds meet the threshold we can decide for the satisfaction of the formula. In the case when it is not possible to decide the satisfaction of the underlying formula through the bounds, we can refine the bounds by considering a larger set of states.
Document type :
Conference papers
Liste complète des métadonnées

Cited literature [19 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-00380667
Contributor : Anne Bergez <>
Submitted on : Tuesday, May 12, 2009 - 11:13:17 AM
Last modification on : Thursday, May 3, 2018 - 4:58:02 PM
Document(s) archivé(s) le : Thursday, June 10, 2010 - 8:42:45 PM

File

FormalAnalysis_2.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-00380667, version 1

Collections

Citation

Nihal Pekergin, Sana Younes. Model Checking by Censoring Markov Chains and Stochastic Comparison. 12th European Workshop on Dependable Computing, EWDC 2009, May 2009, Toulouse, France. 7 p. ⟨hal-00380667⟩

Share

Metrics

Record views

234

Files downloads

90