Telecommunications Science ›› 2016, Vol. 32 ›› Issue (6): 93-102.doi: 10.11959/j.issn.1000-0801.2016178

• research and development • Previous Articles     Next Articles

Test case minimizing based on combination chaos genetic algorithm

Qing SHEN,Yunliang JIANG,Zhangguo SHEN,Jungang LOU   

  1. School of Information Engineering,Huzhou University,Huzhou 313000,China
  • Online:2016-06-20 Published:2016-07-20
  • Supported by:
    The National Natural Science Foundation of China;Natural Science Foundation of Zhejiang Province;Zhejiang Provincial Science and Technology Plan of China;Science and Technology Program of Huzhou City

Abstract:

Test case minimizing is one of the most important research fields in software testing.Uniformly distributed Chebyshev and Logistic chaos sequence were introduced in the selection,crossover and mutation of genetic algorithm.Chaos disturbance was also added in genetic testing suite to address the common problems of weak ability in local search and premature convergence,thus to optimize the test result.Experiments were conducted in randomly generated test suites and Siemens test suites.Comparisons were also made with classical methods regard to the scale of production of test suite and the execution time of the algorithms.The results of the experiment indicate that based on the same execution time of the algorithms,a smaller scale test suite can be produced by introducing chaotic sequence in genetic testing suite selection.

Key words: software testing, test cases minimizing, chaos genetic algorithm, test case

No Suggested Reading articles found!