PRTS: An Approach for Model Checking Probabilistic Real-Time Hierarchical Systems

  • Jun Sun
  • Yang Liu
  • Songzheng Song
  • Jin Song Dong
  • Xiaohong Li
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6991)


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.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Jun Sun
    • 1
  • Yang Liu
    • 2
  • Songzheng Song
    • 3
  • Jin Song Dong
    • 2
  • Xiaohong Li
    • 4
  1. 1.Singapore University of Technology and DesignSingapore
  2. 2.National University of SingaporeSingapore
  3. 3.NUS Graduate School for Integrative Sciences and EngineeringSingapore
  4. 4.School of Computer Science and TechnologyTianjin UniversityChina

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