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2.5.1 Assessing the Reliability of Socio‐technical Systems
Author(s) -
Gregoriades Andreas,
Sutcliffe Alistair,
Shin JaeEun
Publication year - 2002
Publication title -
incose international symposium
Language(s) - English
Resource type - Journals
ISSN - 2334-5837
DOI - 10.1002/j.2334-5837.2002.tb02552.x
Subject(s) - reliability (semiconductor) , computer science , bayesian network , task (project management) , reliability engineering , human reliability , quality (philosophy) , analyser , action (physics) , human error , artificial intelligence , machine learning , data mining , systems engineering , engineering , power (physics) , philosophy , physics , chemistry , epistemology , chromatography , quantum mechanics
This paper presents a Bayesian belief network (BBN) approach for socio technical system reliability assessment. A human error model (BBN) 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.