Automatic verification of real-time systems with discrete probability distributions
Theoretical Computer Science
Liveness with (0, 1, infty)-Counter Abstraction
CAV '02 Proceedings of the 14th International Conference on Computer Aided Verification
QEST '06 Proceedings of the 3rd international conference on the Quantitative Evaluation of Systems
Principles of Model Checking (Representation and Mind Series)
Principles of Model Checking (Representation and Mind Series)
PAT: Towards Flexible Verification under Fairness
CAV '09 Proceedings of the 21st International Conference on Computer Aided Verification
Verification of Population Ring Protocols in PAT
TASE '09 Proceedings of the 2009 Third IEEE International Symposium on Theoretical Aspects of Software Engineering
Stochastic Games for Verification of Probabilistic Timed Automata
FORMATS '09 Proceedings of the 7th International Conference on Formal Modeling and Analysis of Timed Systems
A Modest Approach to Checking Probabilistic Timed Automata
QEST '09 Proceedings of the 2009 Sixth International Conference on the Quantitative Evaluation of Systems
Fair Model Checking with Process Counter Abstraction
FM '09 Proceedings of the 2nd World Congress on Formal Methods
Model checking hierarchical probabilistic systems
ICFEM'10 Proceedings of the 12th international conference on Formal engineering methods and software engineering
PRISM 4.0: verification of probabilistic real-time systems
CAV'11 Proceedings of the 23rd international conference on Computer aided verification
PRTS: an approach for model checking probabilistic real-time hierarchical systems
ICFEM'11 Proceedings of the 13th international conference on Formal methods and software engineering
Symmetry reduction for probabilistic model checking
CAV'06 Proceedings of the 18th international conference on Computer Aided Verification
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Real-life systems are usually hard to control, due to their complicated structures, quantitative time factors and even stochastic behaviors. In this work, we present a model checker to analyze hierarchical probabilistic real-time systems. A modeling language called PRTS is used to specify such systems, and automatic zone-abstraction approach, which is probability preserving, is used to generate finite state MDP. We have implemented PRTS in model checking framework PAT so that friendly user interface can be used to edit, simulate and verify PRTS models. Some experiments are conducted to show our tool's efficiency.