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Assessing the reliability of socio-technical systems

Journal
Systems Engineering
Date Issued
June 16, 2003
Author(s)
Gregoriades, Andreas  
Sutcliffe, Alistair G.  
Shin, Jae Eun  
DOI
10.1002/sys.10044
Abstract
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.
Subjects

Bayesian belief netwo...

Human error

System reliability

Mathematical models

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