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Modest is a high-level compositional modelling language for stochastic timed systems with a formal semantics in terms of stochastic timed automata. The analysis of Modest models is supported by the Modest Toolset, which includes the discrete-event simulator modes. modes handles arbitrary deterministic models as well as models that include nondeterminism due(More)
Statistical model checking has become a promising technique to circumvent the state space explosion problem in model-based verification. It trades time for memory, via a probabilistic simulation and exploration of the model behaviour—often combined with effective a posteriori hypothesis testing. However, as a simulation-based approach, it can only provide(More)
Statistical model checking is an analysis method that circumvents the state space explosion problem in model-based verification by combining probabilistic simulation with statistical methods that provide clear error bounds. As a simulation-based technique, it can only provide sound results if the underlying model is a stochastic process. In verification,(More)
The applicability of model checking is hindered by the state space explosion problem in combination with limited amounts of main memory. To extend its reach, the large available capacities of secondary storage such as hard disks can be exploited. Due to the specific performance characteristics of secondary storage technologies, specialised algorithms are(More)