We develop a new method for determining the consistency of timed scenarios. If the scenario is consistent, we obtain a canonical representation for the entire class of equivalent scenarios. This allows us to optimise a scenario according to various criteria. In particular, we are able to minimize the largest constant in the scenario’s set of constraints: this technique is directly relevant to decreasing the costs of verification for timed automata synthesized from timed scenarios.
CITATION STYLE
Saeedloei, N., & Kluźniak, F. (2018). Timed scenarios: Consistency, equivalence and optimization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11254 LNCS, pp. 215–233). Springer Verlag. https://doi.org/10.1007/978-3-030-03044-5_14
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