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Statistical Model Checking of Processor Systems in Various Interrupt Scenarios

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F18%3APU130708" target="_blank" >RIV/00216305:26230/18:PU130708 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007%2F978-3-030-03421-4_26" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-030-03421-4_26</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-03421-4_26" target="_blank" >10.1007/978-3-030-03421-4_26</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Statistical Model Checking of Processor Systems in Various Interrupt Scenarios

  • Original language description

    Many practical, especially real-time, systems are expected to be predictable under various sources of unpredictability. To cope with the expectation, a system must be modeled and analyzed precisely for various operating conditions. This represents a problem that  grows with the dynamics of the system and that must be, typically, solved before the system starts to operate.  Due to the general complexity of the problem, this paper focuses just to processor based systems with interruptible executions. Their predictability analysis becomes more difficult especially when interrupts may occur at arbitrary times, suffer from arrival and servicing jitters, are subject to priorities, or may be nested and un/masked at run-time. Such a behavior of interrupts and executions has stochastic aspects and leads to the explosion of the number of situations to be considered.  To cope with such a behavior, we propose a simulation model that relies on a network of stochastic timed automata and involves the above-mentioned behavioral aspects related to  interrupts and executions. For a system, modeled by means of the automata, we show that the problem of analyzing its predictability may be efficiently solved by means of the statistical model checking.

  • 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/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of 8th International Symposium On Leveraging Applications of Formal Methods, Verification and Validation (ISoLA)

  • ISBN

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    16

  • Pages from-to

    414-429

  • Publisher name

    Springer International Publishing

  • Place of publication

    Cham

  • Event location

    Limassol

  • Event date

    Nov 5, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article