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dc.contributor.authorThieme, Christoph Alexander
dc.contributor.authorMosleh, Ali
dc.contributor.authorUtne, Ingrid Bouwer
dc.contributor.authorHegde, Jeevith
dc.date.accessioned2020-09-07T06:49:59Z
dc.date.available2020-09-07T06:49:59Z
dc.date.created2020-06-03T13:55:23Z
dc.date.issued2020
dc.identifier.citationReliability Engineering & System Safety. 2020, 197 .en_US
dc.identifier.issn0951-8320
dc.identifier.urihttps://hdl.handle.net/11250/2676512
dc.description.abstractAdvanced technological systems consist of a combination of hardware and software, and they are often operated or supervised by a human operator. Failures in software-intensive systems may be difficult to identify, analyze, and mitigate, owing to system complexity, system interactions, and cascading effects. Risk analysis of such systems is necessary to ensure safe operation. The traditional approach to risk analysis focuses on hardware failures and, to some extent, on human and organizational factors. Software failures are often overlooked, or it is assumed that the system's software does not fail. Research and industry efforts are directed toward software reliability and safety. However, the effect of software failures on the level of risk of advanced technological systems has so far received little attention. Most analytical methods focus on selected software failures and tend to be inconsistent with respect to the level of analysis. There is a need for risk analysis methods that are able to sufficiently take hardware, software, and human and organizational risk factors into account. Hence, this article presents a foundation that enables software failure to be included in the general framework of risk analysis. This article is the first of two articles addressing the challenges of analyzing software failures and including their potential risk contribution to a system or operation. Hence, the focus is on risks resulting from software failures, and not on software reliability, because risk and reliability are two different aspects of a system. Using a functional perspective on software, this article distinguishes between failure mode, failure cause, and failure effects. Accordingly, 29 failure modes are identified to form a taxonomy and are demonstrated in a case study. The taxonomy assists in identifying software failure modes, which provide input to the risk analysis of software-intensive systems, presented in a subsequent article.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.relation.urihttps://www.sciencedirect.com/science/article/abs/pii/S0951832018307166?via%3Dihub
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleIncorporating software failure in risk analysis – Part 1: Software functional failure mode classificationen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.subject.nsiVDP::Marin teknologi: 580en_US
dc.subject.nsiVDP::Marine technology: 580en_US
dc.subject.nsiVDP::Marin teknologi: 580en_US
dc.subject.nsiVDP::Marine technology: 580en_US
dc.source.pagenumber13en_US
dc.source.volume197en_US
dc.source.journalReliability Engineering & System Safetyen_US
dc.identifier.doihttps://doi.org/10.1016/j.ress.2020.106803
dc.identifier.cristin1813673
dc.relation.projectNorges forskningsråd: 234108/E30en_US
dc.relation.projectNorges forskningsråd: 223254en_US
dc.description.localcode"© 2020. This is the authors’ accepted and refereed manuscript to the article. Locked until 25.1.2022 due to copyright restrictions. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ "en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.fulltextpostprint
cristin.qualitycode2


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal