Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
10-2011
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.
Keywords
Model Check, Mutual Exclusion, Linear Temporal Logic, Process Construct, Symbolic Model Check
Discipline
Programming Languages and Compilers | Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
Proceedings of the 13th International Conference on Formal Engineering Methods, ICFEM 2011, Durham, UK, October 26-28
First Page
147
Last Page
162
ISBN
9783642245589
Identifier
10.1007/978-3-642-24559-6_12
Publisher
Springer Link
City or Country
Durham, UK
Citation
SUN, Jun; LIU, Yang; SONG, Songzheng; DONG, Jin Song; and LI, Xiaohong.
PRTS: An approach for model checking probabilistic real-time hierarchical systems. (2011). Proceedings of the 13th International Conference on Formal Engineering Methods, ICFEM 2011, Durham, UK, October 26-28. 147-162.
Available at: https://ink.library.smu.edu.sg/sis_research/5029
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1007/978-3-642-24559-6_12