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Assessing the reliability of socio‐technical systems
Author(s) -
Gregoriades Andreas,
Sutcliffe Alistair,
Shin JaeEun
Publication year - 2003
Publication title -
systems engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.474
H-Index - 50
eISSN - 1520-6858
pISSN - 1098-1241
DOI - 10.1002/sys.10044
Subject(s) - reliability (semiconductor) , computer science , bayesian network , reliability engineering , task (project management) , human reliability , quality (philosophy) , analyser , action (physics) , human error , machine learning , artificial intelligence , engineering , systems engineering , power (physics) , philosophy , physics , chemistry , epistemology , chromatography , quantum mechanics
This article presents a Bayesian Belief Network (BBN) approach for socio‐technical system reliability assessment. A human error BBN model quantifies error influences arising from user knowledge, ability, and task environment, combined with factors describing the complexity of user action and user interface quality. System reliability evaluation is achieved by the System Reliability Analyser tool, which enables the iterative manipulation of the human error model according to high‐level scenarios. © 2003 Wiley Periodicals, Inc. Syst Eng 6: 210–223, 2003