• DocumentCode
    1279268
  • Title

    Predicting how badly “good” software can behave

  • Author

    Voas, Jeffrey ; Charron, Frank ; McGraw, Gary ; Miller, Keith ; Friedman, Michael

  • Author_Institution
    Reliable Software Technol., Sterling, VA, USA
  • Volume
    14
  • Issue
    4
  • fYear
    1997
  • Firstpage
    73
  • Lastpage
    83
  • 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
  • Keywords
    program testing; software fault tolerance; software tools; automated software environment; failure-tolerance measurement; fault injection; ultrarare inputs; Automatic testing; Computer industry; Fault tolerant systems; Robustness; Software engineering; Software measurement; Software quality; Software safety; Software testing; Software tools;
  • fLanguage
    English
  • Journal_Title
    Software, IEEE
  • Publisher
    ieee
  • ISSN
    0740-7459
  • Type

    jour

  • DOI
    10.1109/52.595959
  • Filename
    595959
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1279268