• DocumentCode
    3714036
  • Title

    Automated test data generation using computational intelligence

  • Author

    Saumya Dixit;Pradeep Tomar

  • Author_Institution
    Department of Computer Science, School of ICT, Gautam Buddha University, Greater Noida, Uttar Pradesh, India
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper evaluates performance of Genetic Algorithm (GA) & Particle Swarm Optimization (PSO) and henceforth derive an algorithm Genetic Particle Swarm Hybrid Algorithm (GPSHA) which is combination of these techniques. The comparison of the algorithms´ performance is done, to prove the efficiency of the GPSHA over GA and PSO, based on the number of generations and uniqueness of the test cases that are generated.
  • Keywords
    "Genetic algorithms","Sociology","Statistics","Software","Biological cells","Particle swarm optimization","Algorithm design and analysis"
  • Publisher
    ieee
  • Conference_Titel
    Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions), 2015 4th International Conference on
  • Type

    conf

  • DOI
    10.1109/ICRITO.2015.7359319
  • Filename
    7359319
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3714036