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The Application of the Boundary-Scan Testing Technology Based on Genetic Algorithms

机译:基于遗传算法的边界扫描测试技术应用

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The boundary-scan testing technology is proposed in this paper. It can optimize the testing vectors globally with the global optimality of genetic algorithms. Firstly the developing course of boundary-scan testing technology is introduced. Through the analysis of architecture and function of system, it indicates that on the premise of maintaining high fault coverage, to search an optimal interconnected testing aggregate, to improve the testing speed and compress the testing vectors is one of the keys of efficient boundary-scan test in engineering application. Secondly the basic concept, operation steps and the realization of global optimality of genetic algorithms are introduced and analyzed. Thirdly, the project of designing testing vectors of boundary-scan test with genetic algorithms is introduced. Through this project the optimal testing vectors can obtained with less complexity and better categoricalness. Finally a testing circuit board has been designed with the testing designing method. The result of the experiment showed the efficiency of this testing algorithm.
机译:本文提出了边界扫描测试技术。它可以通过全球遗传算法的全球最优性优化全球的测试向量。首先,介绍了边界扫描测试技术的发展过程。通过分析系统的架构和功能,它表示在维护高故障覆盖的前提下,搜索最佳互连的测试聚集体,以提高测试速度并压缩测试向量是有效边界扫描的键之一在工程应用中的测试。其次,引入并分析了基本概念,操作步骤和全球最优性的实现。第三,介绍了使用遗传算法设计边界扫描测试的测试向量的项目。通过该项目,最佳测试向量可以获得较差的复杂性和更好的分类。最后,设计了一种测试电路板,设计了测试设计方法。实验结果表明了该测试算法的效率。

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