Evaluation of the SRA tool using Data Mining Techniques
Date Issued
2003
Abstract
This paper describes a validation approach of a socio-technical design support system using data mining techniques. Bayesian Belief Networks (BBN) are used to assess human error and system failure [13] based on a variety of high-level operational scenarios. The System Reliability Analyser (SRA) tool automates the process by iteratively manipulating the BBN model. Data mining techniques are employed in order to identify whether the initial assumptions embedded in the system reliability model are met by results from scenario-based testing.
File(s)![Thumbnail Image]()
Name
Evaluation_of_the_SRA.pdf
Size
31.63 KB
Format
Adobe PDF
Checksum (MD5)
b1a649937e8094c31db0900b6006f21b