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Nuclear Engineering and Technology
Article . 2009 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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PROCEDURE FOR APPLICATION OF SOFTWARE RELIABILITY GROWTH MODELS TO NPP PSA

Authors: Son, HS Son, Han Seong; Kang, HG Kang, Hyun Gook; Chang, SC Chang, Seung Cheol;
handle: 10203/95038
Abstract
As the use of software increases at nuclear power plants (NPPs), the necessity for including software reliability and/or safety into the NPP Probabilistic Safety Assessment (PSA) rises. This work proposes an application procedure of software reliability growth models (RGMs), which are most widely used to quantify software reliability, to NPP PSA. Through the proposed procedure, it can be determined if a software reliability growth model can be applied to the NPP PSA before its real application. The procedure proposed in this work is expected to be very helpful for incorporating software into NPP PSA.
Country
Korea (Republic of)
Related Organizations
- Joongbu University Korea (Republic of)
- Korean Association Of Science and Technology Studies Korea (Republic of)
- Korean Association Of Science and Technology Studies Korea (Republic of)
- Joongbu University Korea (Republic of)
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).8 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average

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citations
Citations provided by BIP!
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
8
Average
Top 10%
Average
gold
Fields of Science
Related to Research communities
Energy Research