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A framework for parameterized monitorability

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2018) 10803 LNCS 203-220
DOI: 10.1007/978-3-319-89366-2_11
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Abstract

We introduce a general framework for Runtime Verification, parameterized with respect to a set of conditions. These conditions are encoded in the trace generated by a monitored process, which a monitor can observe. We present this parameterized framework in its general form and prove that it corresponds to a fragment of HML with recursion, extended with these conditions. We then show how this framework can be applied to a number of instantiations of the set of conditions.

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APA

Aceto, L., Achilleos, A., Francalanza, A., & Ingólfsdóttir, A. (2018). A framework for parameterized monitorability. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10803 LNCS, pp. 203–220). Springer Verlag. https://doi.org/10.1007/978-3-319-89366-2_11

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