Symbolic Monitoring Against Specifications Parametric in Time and Data

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Abstract

Monitoring consists in deciding whether a log meets a given specification. In this work, we propose an automata-based formalism to monitor logs in the form of actions associated with time stamps and arbitrarily data values over infinite domains. Our formalism uses both timing parameters and data parameters, and is able to output answers symbolic in these parameters and in the log segments where the property is satisfied or violated. We implemented our approach in an ad-hoc prototype SyMon, and experiments show that its high expressive power still allows for efficient online monitoring.

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Waga, M., André, É., & Hasuo, I. (2019). Symbolic Monitoring Against Specifications Parametric in Time and Data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11561 LNCS, pp. 520–539). Springer Verlag. https://doi.org/10.1007/978-3-030-25540-4_30

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