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Erschienen in:
2011 | OriginalPaper | Buchkapitel
PRTS: An Approach for Model Checking Probabilistic Real-Time Hierarchical Systems
verfasst von : Jun Sun, Yang Liu, Songzheng Song, Jin Song Dong, Xiaohong Li
Erschienen in: Formal Methods and Software Engineering
Verlag: Springer Berlin Heidelberg
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Model Checking real-life systems is always difficult since such systems usually have quantitative timing factors and work in unreliable environment. The combination of real-time and probability in hierarchical systems presents a unique challenge to system modeling and analysis. In this work, we develop an automated approach for verifying probabilistic, real-time, hierarchical systems. Firstly, a modeling language called PRTS is defined, which combines data structures, real-time and probability. Next, a zone-based method is used to build a finite-state abstraction of PRTS models so that probabilistic model checking could be used to calculate the probability of a system satisfying certain property. We implemented our approach in the PAT model checker and conducted experiments with real-life case studies.