基于位运算的高缺陷覆盖率LFSR补播种子增强

Hongxia Fang, K. Chakrabarty, R. Parekhji
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引用次数: 2

摘要

我们提出了一种可测试性设计(DFT)技术,以提高LFSR重新播种对未建模缺陷的有效性。所提出的方法依赖于使用输出偏差度量的种子选择和使用简单的位操作的片上种子扩增。对基准电路的仿真结果表明,与仅使用输出偏差的LFSR重播相比,该方法对过渡延迟和桥接故障提供了更高的覆盖率,并且在相同数量的种子下,对这些故障的覆盖率上升幅度更大。对于相同的模式计数(以及更少的种子),建议的方法提供了可比较的未建模缺陷覆盖率。在所有情况下,都可以获得完全覆盖的模型卡滞故障。因此,我们得出结论,采用较少种子数量的LFSR补播方法可以获得较高的测试质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bit-Operation-Based Seed Augmentation for LFSR Reseeding with High Defect Coverage
We present a design-for-testability (DFT) technique for increasing the effectiveness of LFSR reseeding for unmodeled defects. The proposed method relies on seed selection using the output-deviations metric and the on-chip augmentation of seeds using simple bit-operations. Simulation results for benchmark circuits show that compared to LFSR reseeding using output deviations alone, the proposed method provides higher coverage for transition-delay and bridging faults, and steeper coverage ramp-up for these faults for the same number of seeds. For the same pattern count (and much fewer seeds), the proposed method provides comparable unmodeled defect coverage. In all cases, complete coverage of modeled stuck-at faults is obtained. We therefore conclude that high test quality can be obtained with the proposed LFSR reseeding method using a smaller number of seeds.
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