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Tightening the Mesh Size of the Cell-Aware ATPG Net for Catching All Detectable Weakest Faults

机译:收紧感知蜂窝的ATPG网络的网格大小,以捕获所有可检测到的最弱故障

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Cell-aware test (CAT) explicitly targets faults caused by cell-internal short and open defects and has been shown to significantly reduce test escape rates. CAT library cell characterization is typically done for only two defect resistance values: one representing hard opens and another one representing hard shorts. In this paper, similar to fishermen tightening the mesh size of their nets to catch small fish, we perform library characterization as efficiently as possible for a set of resistances representing increasingly weaker defects, and then adjust our ATPG flow to explicitly target faults caused by the weakest still-detectable variant of each potential defect. We implemented this novel approach in an experimental ATPG tool flow script, using functions of Cadence's Modus as building blocks. To assess the effectiveness of our approach, we formulate a new dedicated test metric: the weakest fault coverage wfc. Compared to conventional CAT targeting hard defects only, experimental results show that our new approach enhances detection of weakest faults and significantly reduces wfc escapes =1-wfc, while maintaining its original (hard-defect) fault coverage fc, of course at the expense of (acceptable) increases in the required number of test patterns and associated test generation time.
机译:单元感知测试(CAT)明确地针对由单元内部短路和开路缺陷引起的故障,并且已被证明可以显着降低测试逃逸率。 CAT库单元的表征通常仅针对两个缺陷电阻值进行:一个代表硬断开,另一个代表硬短路。在本文中,类似于渔民收紧渔网的网眼尺寸以捕捞小鱼,我们针对代表越来越弱的缺陷的一组阻力尽可能有效地执行了库特征分析,然后调整我们的ATPG流量以明确地针对由鱼网造成的故障。每个潜在缺陷的最弱的仍可检测到的变体。我们使用Cadence的Modus功能作为构建块,在实验性ATPG工具流程脚本中实现了这种新颖的方法。为了评估我们方法的有效性,我们制定了一个新的专用测试指标:最弱的故障覆盖率wfc。与仅针对硬缺陷的常规CAT相比,实验结果表明,我们的新方法可增强对最弱故障的检测能力,并显着降低wfc逃逸率= 1-wfc,同时保持其原始(硬缺陷)故障覆盖率fc,当然是以(可接受)所需测试图案数量和相关测试生成时间的增加。

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