A Software Test Cases Automated Generation Algorithm Based on Immune Principles

  • Authors:
  • Junmin Ye;Zemei Zhan;Cong Jin;Qingguo Zhang

  • Affiliations:
  • Department of Computer Science, Central China Normal University, Wuhan, China 430079;Department of Computer Science, Central China Normal University, Wuhan, China 430079 and Computer Science College, Yangtze University, JingZhou, China 434023;Department of Computer Science, Central China Normal University, Wuhan, China 430079;Department of Computer Science, Central China Normal University, Wuhan, China 430079

  • Venue:
  • ATC '09 Proceedings of the 6th International Conference on Autonomic and Trusted Computing
  • Year:
  • 2009

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Abstract

Artificial immune operators play an important role in the application of immune system. How to design immune operators to support the test cases generation algorithm based on immune principles deserves our investigation. Therefore, on the basis of artificial immune principles, some immune operators that can be used in software test cases generation are proposed in this paper, on this basis, an algorithm of software test cases automated generation is presented. By analysing our experiment results, the efficiency of the immune operators applied in test case generation method is verified in this paper.