Titlebook: Runtime Verification; 6th International Co Ezio Bartocci,Rupak Majumdar Conference proceedings 2015 Springer International Publishing Switz

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Monitoring for a Decidable Fragment of MTL-, cation by quantifier removal techniques; and online evaluation of a three-valued interpretation for formulas of our fragment. Our experiments show the applicability of this mechanism as well as the validity of the provided complexity results.

遠(yuǎn)地點

From First-order Temporal Logic to Parametric Trace Slicinge formulas in such fragments into automata with a slicing-based semantics. In exploring this relationship, the paper aims to allow monitoring techniques to be shared between the two approaches and initiate a wider effort to unify specification languages for runtime verification.

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Qualitative and Quantitative Monitoring of Spatio-Temporal Propertiesntics. Furthermore, we define efficient . for both the boolean and the quantitative semantics. These are implemented in a Java tool available online. We illustrate the expressiveness of SSTL and the effectiveness of the monitoring procedures on the formation of patterns in a Turing reaction-diffusion system.

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Qualitative and Quantitative Monitoring of Spatio-Temporal Propertiesspecifying topological properties in a discrete space. The latter is modelled as a weighted graph, and provided with a boolean and a quantitative semantics. Furthermore, we define efficient . for both the boolean and the quantitative semantics. These are implemented in a Java tool available online.

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Runtime Adaptation for Actor Systemsruntime. We propose extensions to specification logics that provide handles for . both monitor synchronisations (with individual actors), as well as the administration of the . adaptations once the triggering behaviour is observed. Since this added functionality allows the specifier to introduce . a

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Robust Online Monitoring of Signal Temporal Logicable to quantify how robustly a given signal satisfies an STL property. In a setting where signal values over the entire time horizon of interest are available, efficient algorithms for . computation of the robust satisfaction value have been proposed. Only a few methods exist for the . setting, i.e