Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/14761
Title: Assessing the reliability of socio-technical systems
Authors: Gregoriades, Andreas 
Sutcliffe, Alistair G. 
Shin, Jae Eun 
Keywords: Bayesian belief network;Human error;System reliability;Mathematical models
Category: Economics and Business
Field: Social Sciences
Issue Date: 2003
Source: Systems Engineering Volume 6, Issue 3, June 2003, Pages 210-223
Journal: Systems Engineering 
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.
URI: https://ktisis.cut.ac.cy/handle/10488/14761
ISSN: 2-s2.0-24744437100
10981241
https://api.elsevier.com/content/abstract/scopus_id/24744437100
DOI: 10.1002/sys.10044
Rights: © 2003 Wiley Periodicals, Inc.
Type: Article
Appears in Collections:Άρθρα/Articles

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