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Transition Power Abstractions for Deep Counterexample Detection

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3A10455349" target="_blank" >RIV/00216208:11320/22:10455349 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1007/978-3-030-99524-9_29" target="_blank" >https://doi.org/10.1007/978-3-030-99524-9_29</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-99524-9_29" target="_blank" >10.1007/978-3-030-99524-9_29</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Transition Power Abstractions for Deep Counterexample Detection

  • Original language description

    While model checking safety of infinite-state systems by inferring state invariants has steadily improved recently, most verification tools still rely on a technique based on bounded model checking to detect safety violations. In particular, the current techniques typically analyze executions by unfolding transitions one step at a time, and the slow growth of execution length prevents detection of deep counterexamples before the tool reaches its limits on computations. We propose a novel model-checking algorithm that is capable of both proving unbounded safety and finding long counterexamples. The idea is to use Craig interpolation to guide the creation of symbolic abstractions of exponentially longer sequences of transitions. Our experimental analysis shows that on unsafe benchmarks with deep counterexamples our implementation can detect faulty executions that are at least an order of magnitude longer than those detectable by the state-of-the-art tools.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/GA20-07487S" target="_blank" >GA20-07487S: Scalable Techniques for Analysis of Complex Properties of Computer Systems</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    TOOLS AND ALGORITHMS FOR THE CONSTRUCTION AND ANALYSIS OF SYSTEMS, TACAS 2022, PT I

  • ISBN

    978-3-030-99523-2

  • ISSN

    0302-9743

  • e-ISSN

    1611-3349

  • Number of pages

    19

  • Pages from-to

    524-542

  • Publisher name

    SPRINGER INTERNATIONAL PUBLISHING AG

  • Place of publication

    CHAM

  • Event location

    Munich

  • Event date

    Apr 2, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000782396700029