• 论文 •    

大型复杂系统测试序列优化

李赟,蔡志明   

  1. 海军工程大学 电子工程学院,湖北武汉430033
  • 出版日期:2010-09-15 发布日期:2010-09-25

Test sequence optimization for large-scale complex system

LI Yun,CAI Zhi-ming   

  1. School of Electronic Engineering,Navy Engineering University, Wuhan 430033, China
  • Online:2010-09-15 Published:2010-09-25

摘要: 为解决现有优化方法测试时间长、不能快速生成决策树等问题,提出Limited Bottom-Up方法。在决策树根节点对影响较大的首步测试进行优化选择,同时将复杂系统的大规模问题转化为规模较小的子集;对故障子集采用自下而上的方法生成测试序列。试验结果表明,该方法有效降低了计算复杂度,缩短了测试时间,为大型复杂系统的可测性设计与分析提供了一种高效算法。

关键词: 复杂系统, 测试序列优化, Limited Bottom-Up方法, 启发式算法

Abstract: Long testing time and being incapable of quickly generating decision-making tree were the disadvantages of existing methods. To deal with these problems, the Limited Bottom-Up algorithm was presented. Influential preliminary testing of root node of decision tree were firstly selected and optimized, and large-scale test sequence problems of complex system were changed into small subsets. Then testing sequence of fault subsets was generated by bottom-up method. Experimental results showed that the presented algorithm greatly reduced computational complexity and testing time. An efficient algorithm was offered for the testability design of large-scale complex system.

Key words: complex system, test sequence optimization, Limited Bottom-Up algorithm, heuristic algorithm, information gain

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