Bisimulation through probabilistic testing
Information and Computation
The B-book: assigning programs to meanings
The B-book: assigning programs to meanings
Safety Critical Computer Systems
Safety Critical Computer Systems
Time and Probability in Formal Design of Distributed Systems
Time and Probability in Formal Design of Distributed Systems
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Nordic Journal of Computing
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FTRTFT '00 Proceedings of the 6th International Symposium on Formal Techniques in Real-Time and Fault-Tolerant Systems
Abstraction, Refinement And Proof For Probabilistic Systems (Monographs in Computer Science)
Abstraction, Refinement And Proof For Probabilistic Systems (Monographs in Computer Science)
Quantitative verification: models techniques and tools
Proceedings of the the 6th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering
Principles of Model Checking (Representation and Mind Series)
Principles of Model Checking (Representation and Mind Series)
Qualitative probabilistic modelling in event-B
IFM'07 Proceedings of the 6th international conference on Integrated formal methods
A stepwise development process for reasoning about the reliability of real-time systems
IFM'07 Proceedings of the 6th international conference on Integrated formal methods
Refinement-based verification of local synchronization algorithms
FM'11 Proceedings of the 17th international conference on Formal methods
Quantitative verification of system safety in event-B
SERENE'11 Proceedings of the Third international conference on Software engineering for resilient systems
Formal probabilistic analysis of cyber-physical transportation systems
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part III
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Event-B provides us with a powerful framework for correct-by-construction system development. However, while developing dependable systems we should not only guarantee their functional correctness but also quantitatively assess their dependability attributes. In this paper we investigate how to conduct probabilistic assessment of reliability of control systems modeled in Event-B. We show how to transform an Event-B model into a Markov model amendable for probabilistic reliability analysis. Our approach enables integration of reasoning about correctness with quantitative analysis of reliability.