Modeling the Propagation of Failures in Software Driven Hardware Systems to Enable Risk-Informed Design

Abstract

Software-driven hardware configurations account for the majority of modern complex systems. The often costly failures of such systems can be attributed to software specific, hardware specific, or software/hardware interaction failures. The understanding of the propagation of failures in a complex system is critical because, while a software component may not fail in terms of loss of function, a software operational state can cause an associated hardware failure. This research is to develop high-level system modeling approaches to model failure propagation in combined software/hardware system (FFIP). The end goal is to identify the most likely and highest cost paths for fault propagation in a complex system as an effective way to enhance the reliability of a system.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2008
Accession Number
ADA495450

Entities

People

  • David C. Jensen
  • Irem Y. Tumer
  • Tolga Kurtoglu

Organizations

  • Oregon State University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Complex Systems
  • Control Systems
  • Detectors
  • Engineering
  • Engineers
  • Failed States
  • Failure Mode And Effect Analysis
  • Manufacturing Engineering
  • Probability
  • Reliability
  • Reliability Engineering
  • Risk Analysis
  • Simulations
  • Software Design
  • Software Development
  • Systems Engineering
  • Test And Evaluation

Fields of Study

  • Computer science
  • Engineering

Readers

  • Materials Science (Mechanical Engineering).
  • Software Engineering.