Computer Engineering and Applications ›› 2007, Vol. 43 ›› Issue (30): 20-22.

• 博士论坛 • Previous Articles     Next Articles

Genetic algorithm based high level test synthesis

SUN Qiang1,ZHOU Tao2,MA Guang-sheng1,LI Hai-jun1   

  1. 1.Department of Computer Science and Technology,Harbin Engineering University,Harbin 150001,China
    2.Department of Maths.Shaanxi University of Technology,Hanzhong,Shaanxi 723000,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-10-21 Published:2007-10-21
  • Contact: SUN Qiang

一种基于遗传算法的高层次测试综合方法

孙 强1,周 涛2,马光胜1,李海军1   

  1. 1.哈尔滨工程大学 计算机科学与技术学院,哈尔滨 150001
    2.陕西理工学院 数学系,陕西 汉中 723000
  • 通讯作者: 孙 强

Abstract: Genetic algorithm based High Level Test Synthesis(HLTS) method is proposed,which can give consideration to testability in the course of various resource allocation.Its main feature lies in that it puts forward a novel chromosome coding method and designs corresponding genetic operation,thereby avoiding the generation of infeasible solution.Experimental results show the effectiveness of this method on testability.

摘要: 提出一种基于遗传算法的高层次测试综合方法,在进行各种资源分配的过程中同时考虑可测性问题。该方法主要的特点在于提出了一种新颖的染色体编码方法,并设计了相应的遗传操作,避免了在进化过程中不可行解的产生。实验结果表明了算法在可测性方面的有效性。