• DocumentCode
    3103003
  • Title

    Search based techniques and mutation analysis in automatic test case generation: A survey

  • Author

    Dave, Meenu ; Agrawal, Rashmi

  • Author_Institution
    Dept. of Comput. Sci., Jagan Nath Univ., Jaipur, India
  • fYear
    2015
  • fDate
    12-13 June 2015
  • Firstpage
    795
  • Lastpage
    799
  • Abstract
    Mutation testing is an effective adequacy criteria and has been researched upon a lot in the past decades, but lacks practical application due to its high cost. Mutation testing for test data generation has not been studied much. This paper is an up-to-date review of the technologies that have been applied with mutation testing for automatic generation of test data which is optimized regarding time, cost and code coverage. The survey reveals an increase in interest regarding the meta-heuristic techniques along with mutation testing.
  • Keywords
    evolutionary computation; program testing; search problems; automatic test case generation; code coverage; meta-heuristic techniques; mutation analysis; mutation testing; search based techniques; test data generation; Evolutionary computation; Reliability; Software; Software algorithms; Software engineering; Testing; Based Software Engineering; Evolutionary algorithms; mutation score; test case generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advance Computing Conference (IACC), 2015 IEEE International
  • Conference_Location
    Banglore
  • Print_ISBN
    978-1-4799-8046-8
  • Type

    conf

  • DOI
    10.1109/IADCC.2015.7154816
  • Filename
    7154816