We propose the first tool for solving complex (some undecidable) problems of timed systems by using Statistical Model Checking (SMC). The tool monitors several runs of the system, and then relies on statistical algorithms to get an estimate of the correctness of the entire design. Contrary to other existing toolsets, ours relies on i) a natural stochastic semantics for networks of timed systems, ii) an engine capable to solve problems that are beyond the scope of classical model checkers, and iii) a friendly user interface. © 2011 Springer-Verlag.
CITATION STYLE
David, A., Larsen, K. G., Legay, A., Mikučionis, M., & Wang, Z. (2011). Time for statistical model checking of real-time systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6806 LNCS, pp. 349–355). https://doi.org/10.1007/978-3-642-22110-1_27
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