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An efficient algorithm for sequential circuit test generation

机译:时序电路测试生成的高效算法

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This paper presents an efficient sequential circuit automatic test generation algorithm. The algorithm is based on PODEM and uses a nine-valued logic model. Among the novel features of the algorithm are use of Initial Timeframe Algorithm and correct implementation of a solution to the Previous State Information Problem. The Initial Timeframe Algorithm, one of the most important aspects of the test generator, determines the number of timeframes required to excite the fault for which a test is to be derived and the number of timeframes required to observe the excited fault. Correct determination of the number of timeframes in which the fault should be excited (activated) and observed saves the test generator from performing unnecessary search in the input space. Test generation is unidirectional, i.e., it is done strictly in forward time, and flip-flops in the initial timeframe are never assigned a state that needs to be justified later. The algorithm saves both the good and the faulty machine states after finding a test to aid in subsequent test generation. The Previous State Information Problem, which has often been ignored by existing test generators, is presented and discussed in the paper. Experimental results are presented to demonstrate the effectiveness of the algorithm.
机译:本文提出了一种有效的时序电路自动测试生成算法。该算法基于PODEM,并使用九值逻辑模型。该算法的新颖特征包括使用初始时间框架算法和对先前状态信息问题的解决方案的正确实现。初始时间框架算法是测试生成器最重要的方面之一,它确定了激发要为其导出测试的故障所需的时间框架数量以及观察励磁故障所需的时间框架数量。正确确定应该激发(激活)并观察故障的时间范围,可以避免测试生成器在输入空间中执行不必要的搜索。测试生成是单向的,即严格在正向时间内完成,并且永远不会在初始时间范围内将触发器分配给需要稍后证明其合理性的状态。在找到测试以帮助后续测试生成之后,该算法可以保存机器的良好状态和故障状态。本文介绍并讨论了先前的状态信息问题,该问题通常被现有的测试生成器所忽略。实验结果表明了该算法的有效性。

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