Verification of multiprocess probabilistic protocols
Distributed Computing
Fast simulation of rare events in queueing and reliability models
ACM Transactions on Modeling and Computer Simulation (TOMACS)
VESTA: A Statistical Model-checker and Analyzer for Probabilistic Systems
QEST '05 Proceedings of the Second International Conference on the Quantitative Evaluation of Systems
Ymer: a statistical model checker
CAV'05 Proceedings of the 17th international conference on Computer Aided Verification
Cross-entropy optimisation of importance sampling parameters for statistical model checking
CAV'12 Proceedings of the 24th international conference on Computer Aided Verification
Statistical model checking qos properties of systems with SBIP
ISoLA'12 Proceedings of the 5th international conference on Leveraging Applications of Formal Methods, Verification and Validation: technologies for mastering change - Volume Part I
Runtime verification of biological systems
ISoLA'12 Proceedings of the 5th international conference on Leveraging Applications of Formal Methods, Verification and Validation: technologies for mastering change - Volume Part I
Importance splitting for statistical model checking rare properties
CAV'13 Proceedings of the 25th international conference on Computer Aided Verification
PLASMA-lab: a flexible, distributable statistical model checking library
QEST'13 Proceedings of the 10th international conference on Quantitative Evaluation of Systems
Automated rare event simulation for stochastic petri nets
QEST'13 Proceedings of the 10th international conference on Quantitative Evaluation of Systems
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Statistical model checking offers the potential to decide and quantify dynamical properties of models with intractably large state space, opening up the possibility to verify the performance of complex real-world systems. Rare properties and long simulations pose a challenge to this approach, so here we present a fast and compact statistical model checking platform, PLASMA, that incorporates an efficient simulation engine and uses importance sampling to reduce the number and length of simulations when properties are rare. For increased flexibility and efficiency PLASMA compiles both model and property into bytecode that is executed on an in-built memory-efficient virtual machine.