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Integrating Software into PRA: A Test-Based Approach

  • Bin Li
  • Ming Li
  • Carol Smidts
Conference paper

Abstract

Probabilistic Risk Assessment (PRA) is a methodology to assess the probability of failure or success of a system’s operation. Results provided by the risk assessment methodology can be used to make decisions concerning choice of upgrades, scheduling of maintenance, improvement to the design, etc [1].

Keywords

Failure Mode Fault Tree Software Function Input Tree Probabilistic Risk Assessment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Kumamoto H., Henley E. J., Probabilistic Risk Assessment and Management for Engineers and Scientists, IEEE Press, 1996.Google Scholar
  2. 2.
    Li B., Li M., Smidts C., Integrating Software into PRA: A Taxonomy of Software Related Failures, in the Sixth IEEE International Symposium on High Assurance Systems Engineering, Boca Raton, Florida, 2001Google Scholar
  3. 3.
    Li B., Li M., Smidts C., Integrating Software into PRA, in the 14th IEEE International Symposium on Software Reliability Engineering (ISSRE’2003), IEEE, Denver, 2003, pp 457–467.Google Scholar
  4. 4.
    PACS Requirements Specification, Lockheed Martin Corporation Inc., Gaithersburg, MD, July 1998.Google Scholar
  5. 5.
    Li B., Li M., Smidts C., Integrating software into PRA: A Test-based Approach, Report#: UMD-ENRE-006-2003, June 2003.Google Scholar

Copyright information

© Springer-Verlag London 2004

Authors and Affiliations

  • Bin Li
    • 1
  • Ming Li
    • 1
  • Carol Smidts
    • 1
  1. 1.Center for Reliability EngineeringUniversity of MarylandCollege ParkUSA

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