• DocumentCode
    3527646
  • Title

    Evolutionary Search Algorithms for Test Case Prioritization

  • Author

    Mohapatra, S.K. ; Prasad, Santasriya

  • Author_Institution
    SOA Univ., Bhubaneswar, India
  • fYear
    2013
  • fDate
    21-23 Dec. 2013
  • Firstpage
    115
  • Lastpage
    119
  • Abstract
    To improve the effectiveness of certain performance goals, test case prioritization techniques are used. These technique schedule the test cases in particular order for execution so as to increase the efficacy in meeting the performance goals. For every change in the program it is considered inefficient to re-execute each and every test case. Test case prioritization techniques arrange the test cases within a test suite in such a way that the most important test case is executed first. This process enhances the effectiveness of testing. This algorithm during time constraint execution has been shown to have detected maximum number fault while including the sever test cases.
  • Keywords
    evolutionary computation; program testing; search problems; software fault tolerance; evolutionary search algorithms; fault; performance goals; test case prioritization techniques; test cases schedule; test suite; testing effectiveness; time constraint execution; Algorithm design and analysis; Fault detection; Genetic algorithms; Sociology; Software; Statistics; Testing; Genetic algorithm; Regression testing; Test case; prioritization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Intelligence and Research Advancement (ICMIRA), 2013 International Conference on
  • Conference_Location
    Katra
  • Type

    conf

  • DOI
    10.1109/ICMIRA.2013.29
  • Filename
    6918806