Predicting How Badly "Good" Software Can Behave

  • Authors:
  • Jeffrey Voas;Frank Charron;Gary McGraw;Keith Miller;Michael Friedman

  • Affiliations:
  • -;-;-;-;-

  • Venue:
  • IEEE Software
  • Year:
  • 1997

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Abstract

Using fault injection and failure-tolerance measurement with ultrarare inputs, the authors create on automated software environment that can supplement traditional testing methods. Applied to four case studies, their methods promise to make software more robust