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Related Experiment Videos

Integrating software into PRA: a software-related failure mode taxonomy.

Bin Li1, Ming Li, Ken Chen

  • 1University of Maryland, Center for Reliability in Engineering, College Park, MD, USA.

Risk Analysis : an Official Publication of the Society for Risk Analysis
|September 5, 2006
PubMed
Summary

This study introduces a new methodology to incorporate software failures into probabilistic risk assessment (PRA). It presents a comprehensive taxonomy of software failure modes to improve mission risk analysis.

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Area of Science:

  • Systems Engineering
  • Software Engineering
  • Risk Management

Background:

  • Probabilistic risk assessment (PRA) is crucial for mission success and operational decisions.
  • Current PRA methodologies often overlook the significant impact of software on system failure probabilities.
  • This gap necessitates a refined approach to accurately quantify mission risks.

Purpose of the Study:

  • To develop and present a novel methodology for integrating software failure modes into PRA.
  • To introduce a comprehensive taxonomy of software-related failure modes.
  • To demonstrate the application and validation of this taxonomy in risk assessment.

Main Methods:

  • Development of a detailed taxonomy categorizing software failure modes.
  • Application of the taxonomy to real-world or simulated mission scenarios.

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  • Validation of the taxonomy through empirical testing and analysis.

    • Main Results:

    • The proposed taxonomy effectively identifies and categorizes software-related failure modes.
    • Integration of software failure modes provides a more accurate estimation of overall mission risk.
    • Validation confirms the practical utility and robustness of the developed methodology.

    Conclusions:

    • Software is a critical contributor to mission risk and must be explicitly included in PRA.
    • The developed taxonomy offers a standardized framework for analyzing software failure modes.
    • This research enhances the fidelity of risk assessments for complex systems.