Software reliability analysis in probabilistic risk analysis

Jan-Erik Holmberg

Research output: Contribution to journalArticleScientificpeer-review

Abstract

Probabilistic Risk Analysis (PRA) is a tool which can reveal shortcomings of the NPP design in general. PRA analysts have not had sufficient guiding principles in modelling particular digital components malfunctions. Digital I&C systems are mostly analysed simply and the software reliability estimates are engineering judgments often lacking a proper justification. The OECD/NEA Working Group RISK's task DIGREL develops a taxonomy of failure modes of digital I&C systems. The EU FP7 project HARMONICS develops software reliability estimation method based on an analytic approach and Bayesian belief network.
Original languageEnglish
Pages (from-to)281-291
JournalInternational Journal of Nuclear Safety and Simulation
Volume3
Issue number4
Publication statusPublished - 2012
MoE publication typeA1 Journal article-refereed

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Software reliability
Risk analysis
Reliability analysis
Bayesian networks
Taxonomies
Failure modes

Keywords

  • nuclear safety
  • software reliability
  • probabilistic risk analysis
  • Bayesian belief network

Cite this

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title = "Software reliability analysis in probabilistic risk analysis",
abstract = "Probabilistic Risk Analysis (PRA) is a tool which can reveal shortcomings of the NPP design in general. PRA analysts have not had sufficient guiding principles in modelling particular digital components malfunctions. Digital I&C systems are mostly analysed simply and the software reliability estimates are engineering judgments often lacking a proper justification. The OECD/NEA Working Group RISK's task DIGREL develops a taxonomy of failure modes of digital I&C systems. The EU FP7 project HARMONICS develops software reliability estimation method based on an analytic approach and Bayesian belief network.",
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Software reliability analysis in probabilistic risk analysis. / Holmberg, Jan-Erik.

In: International Journal of Nuclear Safety and Simulation, Vol. 3, No. 4, 2012, p. 281-291.

Research output: Contribution to journalArticleScientificpeer-review

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AB - Probabilistic Risk Analysis (PRA) is a tool which can reveal shortcomings of the NPP design in general. PRA analysts have not had sufficient guiding principles in modelling particular digital components malfunctions. Digital I&C systems are mostly analysed simply and the software reliability estimates are engineering judgments often lacking a proper justification. The OECD/NEA Working Group RISK's task DIGREL develops a taxonomy of failure modes of digital I&C systems. The EU FP7 project HARMONICS develops software reliability estimation method based on an analytic approach and Bayesian belief network.

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