PRTS: an approach for model checking probabilistic real-time hierarchical systems

  • Authors:
  • Jun Sun;Yang Liu;Songzheng Song;Jin Song Dong;Xiaohong Li

  • Affiliations:
  • Singapore University of Technology and Design;National University of Singapore;NUS Graduate School for Integrative Sciences and Engineering;National University of Singapore;School of Computer Science and Technology, Tianjin University

  • Venue:
  • ICFEM'11 Proceedings of the 13th international conference on Formal methods and software engineering
  • Year:
  • 2011

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Abstract

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.