Procurement Interaction Minimize Test Arrangement Formation of Software Testing Using Cuckoo Search Methods

  • Authors

    • Dr. Anandam Velagandula
    • P. Buddha Reddy
    • N. Hanuman Reddy
    • G. Srikanth Reddy
    • Ch Anil
    2018-09-25
    https://doi.org/10.14419/ijet.v7i4.6.21197
  • Cuckoo Search, Particle Swarm Optimization, quality assurance, Software metrics

  • Abstract

    As of late number of meta based heuristic algorithms are suggested to fill in as the premise of test era technique (where shows the interaction strength) embracing  with Simulated Annealing (SA), Ant Colony Optimization (ACO), Cuckoo Search (CS), Genetic Algorithms (GA), Harmony Search (HS) and Particle Swarm Optimization (PSO). Albeit helpful methodologies are requiring particular area learning so as to permit successful tuning before great quality arrangements can be gotten. The multi-target molecule swarm optimization, and multithreading is utilized to overwhelm the compound judgement criteria for an ideal arrangement. The procedure and its related algorithms are assessed broadly utilizing diverse benchmarks and examinations. In our proposed technique test cases are advanced by utilizing Particle Swarm Optimization algorithm (PSO). At that point the streamlined test cases are organized by utilizing to enhanced Cuckoo Search algorithm (ECSA). As the quantity of inserted systems increments quickly, there has been developing interest for the utilization of Service Oriented Architecture (SOA) for some requests. At last, the enhanced outcome will be assessed by programming quality measures.

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  • How to Cite

    Anandam Velagandula, D., Buddha Reddy, P., Hanuman Reddy, N., Srikanth Reddy, G., & Anil, C. (2018). Procurement Interaction Minimize Test Arrangement Formation of Software Testing Using Cuckoo Search Methods. International Journal of Engineering & Technology, 7(4.6), 302-305. https://doi.org/10.14419/ijet.v7i4.6.21197

    Received date: 2018-10-07

    Accepted date: 2018-10-07

    Published date: 2018-09-25