A linear temporal logic model checking method over finite words with correlated transition attributes

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Abstract

Temporal logic model checking techniques are applied, in a natural way, to the analysis of the set of finite traces composing a system log. The specific nature of such traces helps in adapting traditional techniques in order to extend their analysis capabilities. The paper presents an adaption of the classical Timed Propositional Temporal Logic to the case of finite words and considers relations among different attributes corresponding to different events. The introduced approach allows the use of general relations between event attributes by means of freeze quantifiers as well as future and past temporal operators. The paper also presents a decision procedure, as well as a study of its computational complexity.

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Couvreur, J. M., & Ezpeleta, J. (2019). A linear temporal logic model checking method over finite words with correlated transition attributes. In Lecture Notes in Business Information Processing (Vol. 340, pp. 89–104). Springer Verlag. https://doi.org/10.1007/978-3-030-11638-5_5

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