• DocumentCode
    1956724
  • Title

    Research on test data generation based on Modified Genetic and Simulated Annealing Algorithm

  • Author

    Yu, Li-Yun ; Lu, Lu

  • Author_Institution
    Sch. of Software Eng., South China Univ. of Technol., Guangzhou, China
  • fYear
    2010
  • fDate
    6-9 Oct. 2010
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    This paper proposes Modified Genetic and Simulated Annealing Algorithm (MGSAA), which can be applied in the test data generation during software testing procedure. The system simulation results show that MGSAA is superior in generating highly-qualified test data to genetic algorithm (GA).
  • Keywords
    genetic algorithms; program testing; simulated annealing; genetic algorithm; simulated annealing algorithm; software testing procedure; test data generation; Convergence; Flow graphs; Gallium; Genetic algorithms; Simulated annealing; Software algorithms; Software testing; Genetic algorithm; Modified Genetic and Simulated Annealing Algorithm; Simulated Annealing Algorithm; Software testing; Test data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Supply Chain Management and Information Systems (SCMIS), 2010 8th International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-962-367-696-0
  • Type

    conf

  • Filename
    5681695
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1956724