• DocumentCode
    2165561
  • Title

    Literature survey of Ant Colony Optimization in software testing

  • Author

    Suri, Bharti ; Singhal, Shweta

  • fYear
    2012
  • fDate
    5-7 Sept. 2012
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Ant Colony Optimization (ACO) is a well known and rapidly evolving meta-heuristic technique. A large number of optimization problems have already taken advantage of the ACO technique while countless others are on their way. A copious amount of effort has also been put in by the researchers for applying ACO in solving various software testing problems. This paper presents a survey of twenty-one such studies, identified as relating to the use of ACO in diverse software testing concepts. To the best of our knowledge, no literature survey could be found published in the same context till date. Consequently, the twenty one studies have been rigorously analyzed to find some common parameters which can be grouped together or compared in order to provide a useful insight into the field.
  • Keywords
    ant colony optimisation; program testing; ACO technique; ant colony optimization; literature survey; meta-heuristic technique; software testing problems; Data models; Flow graphs; Optimization; Software; Software testing; Unified modeling language;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering (CONSEG), 2012 CSI Sixth International Conference on
  • Conference_Location
    Indore
  • Print_ISBN
    978-1-4673-2174-7
  • Type

    conf

  • DOI
    10.1109/CONSEG.2012.6349501
  • Filename
    6349501