• DocumentCode
    3687211
  • Title

    Test Suite generation using Memetic algorithm on adaptive local search

  • Author

    Ankita A. Mundade;T. M. Pattewar

  • Author_Institution
    Department of Computer Engineering, RCPIT, Shirpur, North Maharashtra University, India
  • fYear
    2015
  • fDate
    4/1/2015 12:00:00 AM
  • Firstpage
    630
  • Lastpage
    633
  • Abstract
    Testing is the process of evaluating quality and correctness of software. In testing, we always check different functions of application. Test cases are the measure component, which is required in testing the functions and conditions. Test case is nothing but a condition which we want to check. It is very difficult to add test cases manually, so that we generate set of test cases called Test Suite. To generate the test suite with high code coverage we apply Memetic algorithm. Code coverage is not only important factor in test suite but also measuring part of test suite. Code coverage measure used to describe the degree of source code program which is tested. Test case may have more than one goal so that we can check feasibility of particular goal. We have implement Memetic algorithm to find code coverage. Here we also applied Memetic algorithm on adaptive local search. In the evaluation it is found that code coverage of Memetic algorithm on adaptive local search is maximum than Memetic algorithm.
  • Keywords
    "Memetics","Optimization","Software"
  • Publisher
    ieee
  • Conference_Titel
    Communications and Signal Processing (ICCSP), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/ICCSP.2015.7322564
  • Filename
    7322564