Dynamic Checks of Evidence Models for Assurance Projects in Eclipse OpenCert

  • Jabier Martinez*
  • , Ángel Jesús Varela-Vaca
  • *Autor correspondiente de este trabajo

    Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

    Resumen

    The modelling of regulatory frameworks and industry standards, including their argumentation and expected evidence, are used during assurance processes to demonstrate the compliance of systems. However, this is handled mainly in a static fashion, and using these models for dynamic evidence checking along the system life-cycle, including operation (checking the model at runtime), is not yet mainstream. This preliminary work shows a tool-supported modelling method for the automatic and dynamic evaluation of evidence. The solution is supported by an Eclipse OpenCert tool extension where the capabilities of evidence models are extended with automatic checks. The user monitoring the assurance project receives alerts when evidence are unsatisfied. It also exports a continuous log of these checks using the XES standard to enable traceability and historical creation of passing and failing checks for analysis and auditing purposes. While some evidence checks are generic, the diversity of checking processes required our solution to be extensible.

    Idioma originalInglés
    Título de la publicación alojadaComputer Safety, Reliability, and Security. SAFECOMP 2022 Workshops - DECSoS, DepDevOps, SASSUR, SENSEI, USDAI, and WAISE, Proceedings
    EditoresMario Trapp, Erwin Schoitsch, Jérémie Guiochet, Friedemann Bitsch
    EditorialSpringer Science and Business Media Deutschland GmbH
    Páginas158-165
    Número de páginas8
    ISBN (versión impresa)9783031148613
    DOI
    EstadoPublicada - 2022
    EventoWorkshops on DECSoS, DepDevOps, SASSUR, SENSEI, USDAI, and WAISE, held in conjunction with the 41st International Conference on Computer Safety, Reliability, and Security, SAFECOMP 2022 - Munich, Alemania
    Duración: 6 sept 20229 sept 2022

    Serie de la publicación

    NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volumen13415 LNCS
    ISSN (versión impresa)0302-9743
    ISSN (versión digital)1611-3349

    Conferencia

    ConferenciaWorkshops on DECSoS, DepDevOps, SASSUR, SENSEI, USDAI, and WAISE, held in conjunction with the 41st International Conference on Computer Safety, Reliability, and Security, SAFECOMP 2022
    País/TerritorioAlemania
    CiudadMunich
    Período6/09/229/09/22

    Huella

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