Modeling and Analysis of Probabilistic Timed Systems
Author
Abstract

Probabilistic system models are useful for analyzing systems which operate under the presence of uncertainty. In this paper, we present a proposed technique for verifying certain safety and liveness properties for probabilistic timed automata. The proposed technique is an extension of a technique used to verify stochastic hybrid automata using an approximation with Markov Decision Processes. A case study for CSMA/CD protocol has been used to show case the methodology used in our technique.

Year of Publication
2009
Conference Name
Engineering of Computer Based Systems
Date Published
04/2009
Conference Location
San Francisco, USA
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