A Survey on Software Testing Techniques using Genetic Algorithm

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Chayanika Sharma and Sangeeta Sabharwal and 
                 Ritu Sibal",
  title =        "A Survey on Software Testing Techniques using Genetic
  journal =      "International Journal of Computer Science Issues",
  year =         "2013",
  volume =       "10",
  number =       "1",
  pages =        "381--393",
  month =        jan,
  keywords =     "genetic algorithms, genetic programming, SBSE",
  ISSN =         "1694-0784",
  URL =          "http://www.ijcsi.org/articles/A-survey-on-software-testing-techniques-using-genetic-algorithm.php",
  URL =          "http://arxiv.org/pdf/1411.1154",
  URL =          "http://arxiv.org/abs/1411.1154",
  size =         "13 pages",
  abstract =     "The overall aim of the software industry is to ensure
                 delivery of high quality software to the end user. To
                 ensure high quality software, it is required to test
                 software. Testing ensures that software meets user
                 specifications and requirements. However, the field of
                 software testing has a number of underlying issues like
                 effective generation of test cases, prioritisation of
                 test cases etc which need to be tackled. These issues
                 demand on effort, time and cost of the testing.
                 Different techniques and methodologies have been
                 proposed for taking care of these issues. Use of
                 evolutionary algorithms for automatic test generation
                 has been an area of interest for many researchers.
                 Genetic Algorithm (GA) is one such form of evolutionary
                 algorithms. In this research paper, we present a survey
                 of GA approach for addressing the various issues
                 encountered during software testing.",
  notes =        "Mentions \cite{Bregieiro-Ribeiro:2008:AST}.

                 Department of computer Science and Information
                 Technology, University of Delhi, Netaji Subhas
                 Institute of Technology Azad Hind Fauz Marg, Dwarka,
                 Sector -3, New Delhi - 110078, India

                 www.ijcsi.org/ advertise with us",

Genetic Programming entries for Chayanika Sharma Sangeeta Sabharwal Ritu Sibal