Analyzing the effectiveness of multiple-detect test sets

R. D. Blanton, K. N. Dwarakanath, A. Shah
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引用次数: 57

Abstract

Multiple-detect test sets have been shown to be effective in lowering defect level. Other researchers have noted that observing the effects of a defect can be controlled by sensitizing affected sites to circuit outputs but defect excitation is inherently probabilistic given a defect’s inherent, unknown nature. As a result, test sets that sensitize every signal line multiple times with varying circuit state has a greater probability of detecting a defect. In past work, the entire circuit is considered when varying circuit state from one vector to another for a given signal line. However, it may be possible to improve defect excitation by exploiting the localized nature of many defect types. Spec$cally, by varying circuit state in the physical region or neighborhood surrounding a line affected by a defect, the defect excitation and therefore detection can be improved. In this paper, we present a method for extracting a physical region surrounding a signal line but more importantly, techniques for analyzing the excitation characteristics of the region. Analysis of 4-detect test sets reveals that 30% to 60% of signal line regions do not achieve at least four unique states, indicating opportunity to further reduce defect level.
多检测测试集的有效性分析
多检测测试集已被证明是降低缺陷水平的有效方法。其他研究人员注意到,观察缺陷的影响可以通过使受影响的部位对电路输出敏感来控制,但是由于缺陷固有的未知性质,缺陷激励本质上是概率性的。因此,在不同的电路状态下对每个信号线多次敏感的测试集检测缺陷的可能性更大。在过去的工作中,对于给定的信号线,当电路状态从一个矢量变化到另一个矢量时,考虑整个电路。然而,利用许多缺陷类型的局域性,改进缺陷激励是可能的。具体来说,通过改变受缺陷影响的线路周围物理区域或邻域的电路状态,可以改善缺陷激励,从而改进检测。在本文中,我们提出了一种提取信号线周围物理区域的方法,但更重要的是,分析该区域的激励特性的技术。对4个检测测试集的分析表明,30%到60%的信号线区域没有达到至少4种唯一状态,这表明有机会进一步降低缺陷水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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