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Domain-Specific Analysis < Verification & Validation < Results Home
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| Validation of System Safety Using Bayesian Belief Networks | |
| Point of Contact |
Joanne Dugan jbd@virginia.edu |
| Dates | October 2001 - March 2005 |
| Problem | Excellent analysis techniques exist for safety assessment, including formal (axiomatic methods), testing, fault injection, inspections, etc. However, no one method is appropriate for the entire system, and all are difficult to apply to novel systems. A methodology is needed for combining and evaluating qualitative and quantitative evidence of safety gathered via different techniques. |
| Objective | Our objective is to develop a methodology to validate the safety of a safety-critical computer-based system through the "safety case" approach. A "safety case" is built by collecting and evaluating information related to V&V activities. We propose using Bayesian belief networks (BBN) to create an evaluation process that is both qualitative and quantitative. |
| Results |
SAS 05 Executive Presentation.ppt SAS 05 Technical Presentation.ppt Briefing-Presentation of Results.pdf |
| Keywords | system safety, bayesian belief network, fault injection, safety-critical, system designs |
| Categories |
Design Analysis Domain-Specific Analysis Formal Methods Requirements Analysis |
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Curator: Josh Stonestreet NASA Official: Lisa Montgomery |
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