• DocumentCode
    1404395
  • Title

    Fault injection for the masses

  • Author

    Voas, Jeffrey

  • Author_Institution
    Reliable Software Technol., USA
  • Volume
    30
  • Issue
    12
  • fYear
    1997
  • fDate
    12/1/1997 12:00:00 AM
  • Firstpage
    129
  • Lastpage
    130
  • Abstract
    The key technology that the author would like to see adopted by the masses is a family of software fault injection algorithms that can predict where to concentrate testing. From a novelty standpoint, these algorithms were (and still are) unique among other methods of performing fault injection. The author concedes that the algorithms are computational, but the results can provide unequaled information about how “bad things” propagate through systems. Because of that, he thinks fault injection methods are valuable to anyone responsible for software quality, including those working in one-person independent software vendors (ISVs) or even the largest corporations
  • Keywords
    program testing; software fault tolerance; software performance evaluation; software quality; fault injection methods; largest corporations; one-person independent software vendors; software fault injection algorithms; software quality; software testing; Code standards; Embedded software; Fault tolerance; Performance evaluation; Prediction algorithms; Random number generation; Software algorithms; Software performance; Software quality; Software standards; Software testing; Software tools;
  • fLanguage
    English
  • Journal_Title
    Computer
  • Publisher
    ieee
  • ISSN
    0018-9162
  • Type

    jour

  • DOI
    10.1109/2.642820
  • Filename
    642820