Software Reliability Analysis in Probabilistic Risk Analysis

Jan-Erik Holmberg

Research output: Chapter in Book/Report/Conference proceedingChapter or book articleScientificpeer-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
Title of host publicationProgress of Nuclear Safety for Symbiosis and Sustainability
Subtitle of host publicationAdvanced Digital Instrumentation, Control and Information Systems for Nuclear Power Plants
EditorsHidekazu Yoshikawa, Zhijian Zhang
Place of PublicationTokyo
PublisherSpringer
Pages307–315
ISBN (Electronic)978-4-431-54610-8
ISBN (Print)978-4-431-54609-2, 978-4-431-56184-2
DOIs
Publication statusPublished - 20 Mar 2014
MoE publication typeA3 Part of a book or another research book

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