Temporal reasoning on incomplete paths

Dana Fisman, Hillel Kugler

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

Semantics of temporal logic over truncated paths (i.e. finite paths that correspond to prefixes of computations of the system at hand) have been found useful in incomplete verification methods (such as bounded model checking and dynamic verification), in modeling hardware resets, and clock shifts and in online and offline monitoring of cyber-physical systems. In this paper we explore providing semantics for temporal logics on other types of incomplete paths, namely incomplete ultimately periodic paths, segmentally broken paths and combinations thereof. We review usages of temporal logic reasoning in systems biology, and explore whether systems biology can benefit from the suggested extensions.

Original languageEnglish
Title of host publicationLeveraging Applications of Formal Methods, Verification and Validation. Verification - 8th International Symposium, ISoLA 2018, Proceedings
EditorsTiziana Margaria, Bernhard Steffen
PublisherSpringer Verlag
Pages28-52
Number of pages25
ISBN (Print)9783030034207
DOIs
StatePublished - 2018
Event8th International Symposium on Leveraging Applications of Formal Methods, Verification and Validation, ISoLA 2018 - Limassol, Cyprus
Duration: 5 Nov 20189 Nov 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11245 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th International Symposium on Leveraging Applications of Formal Methods, Verification and Validation, ISoLA 2018
Country/TerritoryCyprus
CityLimassol
Period5/11/189/11/18

Bibliographical note

Publisher Copyright:
© Springer Nature Switzerland AG 2018.

Funding

Acknowledgment. The research was partially supported by the Horizon 2020 research and innovation programme under grant agreement number 732482 (Bio4Comp).

FundersFunder number
Horizon 2020 Framework Programme732482

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