N-PAT: A Nested Model-Checker: (System Description)

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

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-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 publicationAutomated Reasoning - 10th International Joint Conference, IJCAR 2020, Proceedings
    EditorsNicolas Peltier, Viorica Sofronie-Stokkermans
    PublisherSpringer
    Pages369-377
    Number of pages9
    ISBN (Print)9783030510534
    DOIs
    Publication statusPublished - 2020
    Event10th International Joint Conference on Automated Reasoning, IJCAR 2020 - Virtual, Online
    Duration: 1 Jul 20204 Jul 2020

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume12167 LNAI
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference10th International Joint Conference on Automated Reasoning, IJCAR 2020
    CityVirtual, Online
    Period1/07/204/07/20

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