High level issues in reliability quantification of safety-critical software

Citations

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0

초록

For the purpose of developing a consensus method for the reliability assessment of safetycritical digital instrumentation and control systems in nuclear power plants, several high level issues in reliability assessment of the safety-critical software based on Bayesian belief network modeling and statistical testing are discussed. Related to the Bayesian belief network modeling, the relation between the assessment approach and the sources of evidence, the relation between qualitative evidence and quantitative evidence, how to consider qualitative evidence, and the cause-consequence relation are discussed. Related to the statistical testing, the need of the consideration of context-specifi c software failure probabilities and the inability to perform a huge number of tests in the real world are discussed. The discussions in this paper are expected to provide a common basis for future discussions on the reliability assessment of safety-critical software. © Springer Japan 2014.

키워드

Bayesian belief network; Safety-critical software; Software reliability; Statistical testing; Bayesian networks; C (programming language); Knowledge based systems; Nuclear fuels; Nuclear power plants; Reliability; Reliability analysis; Safety engineering; Safety testing; Software testing; Statistical tests; Assessment approaches; Bayesian belief network models; Consensus methods; Consequence relations; Digital instrumentation; Reliability assessments; Safety critical software; Statistical testing; Software reliability
제목
High level issues in reliability quantification of safety-critical software
저자
Kim, M.C.
DOI
10.1007/978-4-431-54610-8_31
발행일
2014-01
유형
Book Chapter
저널명
Progress of Nuclear Safety for Symbiosis and Sustainability: Advanced Digital Instrumentation, Control and Information Systems for Nuclear Power Plants
페이지
301 ~ 306