Quantification of reactor protection system software reliability based on indirect and direct evidence

Ola Bäckström (Corresponding author), Jan-Erik Holmberg, Mariana Jockenhövel-Barttfeld, Markus Porthin, Andre Taurines

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsProfessional

    1 Citation (Scopus)

    Abstract

    This paper presents a method for the quantification of software failures in a reactor protection system in the context of probabilistic safety assessment (PSA) for a nuclear power plant. The emphasis of the method is on the quantification of the failure probability of an application software module, which can lead to the functional failure modes: failure to actuate on demand a specific instrumentation and control (I&C) function or spurious actuation of a specific I&C function. The quantification is based on two main metrics, complexity of the application software and the degree of verification and validation of the software. The relevance of common cause failures and an analysis of the impact of fatal and non-fatal failures on the system will be covered by the discussion. Collection of operational data and challenges to use it for software reliability quantification will also be discussed. The outlined quantification method offers a practical and justifiable approach to account for software failures that are usually ignored in current PSAs.
    Original languageEnglish
    Title of host publicationPSAM12
    Subtitle of host publicationProbabilistic Safety Assessment and Management, June 22-27, 2014
    Number of pages11
    Publication statusPublished - 2014
    MoE publication typeD3 Professional conference proceedings
    Event12th International Probabilistic Safety Assessment and Management Conference, PSAM 2014 - Honolulu, United States
    Duration: 22 Jun 201427 Jun 2014

    Conference

    Conference12th International Probabilistic Safety Assessment and Management Conference, PSAM 2014
    Abbreviated titlePSAM 2014
    CountryUnited States
    CityHonolulu
    Period22/06/1427/06/14

    Keywords

    • PSA
    • software reliability
    • operational history data

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