• DocumentCode
    1334683
  • Title

    Mutation Sensitivity Testing

  • Author

    Hook, Daniel ; Kelly, Diane

  • Author_Institution
    Engineering Seismology Group Solutions
  • Volume
    11
  • Issue
    6
  • fYear
    2009
  • Firstpage
    40
  • Lastpage
    47
  • Abstract
    Computational scientists often encounter code-testing challenges not typically faced by software engineers who develop testing techniques. Mutation sensitivity testing addresses these challenges, showing that a few well-designed tests can detect many code faults and that reducing error tolerances is often more effective than running additional tests.
  • Keywords
    Computer errors; Computer science; Fault detection; Genetic mutations; Nuclear measurements; Packaging; Physics; Scientific computing; Testing; Writing; Mutation Sensitivity Testing; code faults; oracle problem; scientific software; software testing; tolerance problem;
  • fLanguage
    English
  • Journal_Title
    Computing in Science & Engineering
  • Publisher
    ieee
  • ISSN
    1521-9615
  • Type

    jour

  • DOI
    10.1109/MCSE.2009.200
  • Filename
    5337643
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1334683