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Integrating Software into PRA: A Software‐Related Failure Mode Taxonomy
Author(s) -
Li Bin,
Li Ming,
Chen Ken,
Smidts Carol
Publication year - 2006
Publication title -
risk analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.972
H-Index - 130
eISSN - 1539-6924
pISSN - 0272-4332
DOI - 10.1111/j.1539-6924.2006.00795.x
Subject(s) - taxonomy (biology) , failure mode and effects analysis , computer science , probabilistic risk assessment , software , probabilistic logic , reliability engineering , risk analysis (engineering) , systems engineering , software quality , engineering , software engineering , management science , software development , artificial intelligence , business , botany , biology , programming language
Probabilistic risk assessment is a methodology to assess the probability of failure or success of a mission. Results provided by the risk assessment methodology are used to make decisions concerning choice of upgrades, scheduling of maintenance, decision to launch, etc. However, current PRA neglects the contribution of software to the risk of failure of the mission. Our research has developed a methodology to account for the impact of software to system failure. This article focuses on an element of the approach: a comprehensive taxonomy of software‐related failure modes. Application of the taxonomy is discussed in this article. A validation of the taxonomy and conclusions drawn from this validation effort are described. Future research is also summarized.