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ACM Transactions on Software Engineering and Methodology (TOSEM)
Quantitative system evaluation with DSPNexpress 2000
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Requirements-level semantics for UML statecharts
Fourth International Conference on Formal methods for open object-based distributed systems IV
Markov Decision Processes: Discrete Stochastic Dynamic Programming
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Probabilistic simulations for probabilistic processes
Nordic Journal of Computing
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HASE '99 The 4th IEEE International Symposium on High-Assurance Systems Engineering
Probabilistic Symbolic Model Checking with PRISM: A Hybrid Approach
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A Comparison of Statecharts Variants
ProCoS Proceedings of the Third International Symposium Organized Jointly with the Working Group Provably Correct Systems on Formal Techniques in Real-Time and Fault-Tolerant Systems
Model Checking of Probabalistic and Nondeterministic Systems
Proceedings of the 15th Conference on Foundations of Software Technology and Theoretical Computer Science
Derivation of Petri Net Performance Models from UML Specifications of Communications Software
TOOLS '00 Proceedings of the 11th International Conference on Computer Performance Evaluation: Modelling Techniques and Tools
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IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 2 - Volume 03
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IFM'07 Proceedings of the 6th international conference on Integrated formal methods
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VMCAI'11 Proceedings of the 12th international conference on Verification, model checking, and abstract interpretation
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MoDELS'06 Proceedings of the 9th international conference on Model Driven Engineering Languages and Systems
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SAFECOMP'05 Proceedings of the 24th international conference on Computer Safety, Reliability, and Security
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This paper introduces means to specify system randomness within UML statecharts, and to verify probabilistic temporal properties over such enhanced statecharts which we call probabilistic UML statecharts. To achieve this, we develop a general recipe to extend a statechart semantics with discrete probability distributions, resulting in Markov decision processes as semantic models. We apply this recipe to the requirements-level UML semantics of [8]. Properties of interest for probabilistic statecharts are expressed in PCTL, a probabilistic variant of CTL for processes that exhibit both non-determinism and probabilities. Verification is performed using the model checker PRISM. A model checking example shows the feasibility of the suggested approach.