• DocumentCode
    2736407
  • Title

    Security Assurance with Metamorphic Testing and Genetic Algorithm

  • Author

    Dong, Guowei ; Wu, Shizhong ; Wang, Guisi ; Guo, Tao ; Huang, Yonggang

  • Author_Institution
    China Inf. Technol. Security Evaluation Center, Beijing, China
  • Volume
    3
  • fYear
    2010
  • fDate
    Aug. 31 2010-Sept. 3 2010
  • Firstpage
    397
  • Lastpage
    401
  • Abstract
    The correctness of mission-critical software is an important part of information security, but oracle problem and test data generation are constraints for some programs. Although metamorphic testing (MT) is practical for programs with oracle problem and evolutionary testing (ET) is a good application of genetic algorithm (GA) for automatic test data generation, fitness functions used in ET are not always effective at target search. This article provides a method for improving ET´s efficiency by considering metamorphic relation (MR) when fitness function is constructed, and finally some conclusions are presented.
  • Keywords
    genetic algorithms; program testing; safety-critical software; security of data; evolutionary testing; fitness functions; genetic algorithm; metamorphic relation; metamorphic testing; mission-critical software; oracle problem; security assurance; Conferences; Gallium; Genetic algorithms; Positron emission tomography; Software; Software engineering; Testing; correctness; genetic algorithm; metamorphic testing; security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010 IEEE/WIC/ACM International Conference on
  • Conference_Location
    Toronto, ON
  • Print_ISBN
    978-1-4244-8482-9
  • Electronic_ISBN
    978-0-7695-4191-4
  • Type

    conf

  • DOI
    10.1109/WI-IAT.2010.101
  • Filename
    5614395