N-PAT: A nested model-checker: (system description)

Hadrien Bride, Cheng-Hao Cai, Jin Song Dong, Rajeev Gore, Zhé Hóu, Brendan Mahony, Jim McCarthy

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

5 Citations (Scopus)

Abstract

N-PAT is a new model-checking tool that supports the verification of nested-models, i.e. models whose behaviour depends on the results of verification tasks. In this paper, we describe its operation and discuss mechanisms that are tailored to the efficient verification of nested-models. Further, we motivate the advantages of N-PAT over traditional model-checking tools through a network security case study.

Original languageEnglish
Title of host publication10th International Joint Conference, IJCAR 2020 Paris, France, July 1–4, 2020 Proceedings, Part II
EditorsNicolas Peltier, Viorica Sofronie-Stokkermans
Place of PublicationCham Switzerland
PublisherSpringer
Pages369-377
Number of pages9
ISBN (Electronic)9783030510541
ISBN (Print)9783030510534
DOIs
Publication statusPublished - 2020
Externally publishedYes
EventInternational Joint Conference on Automated Reasoning 2020 - Online, France
Duration: 1 Jul 20204 Jul 2020
Conference number: 10th
https://link.springer.com/book/10.1007/978-3-030-51054-1 (Proceedings)
https://ijcar2020.org/#:~:text=IJCAR%202020%20is%20the%2010th,FSCD%202020%20joint%20meeting%20website. (Website)

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume12167
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Joint Conference on Automated Reasoning 2020
Abbreviated titleIJCAR 2020
Country/TerritoryFrance
Period1/07/204/07/20
Internet address

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