A fast, accurate, and non-statistical method for fault coverage estimation

M. Hsiao
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引用次数: 3

Abstract

We present a fast, dynamic fault coverage estimation technique for sequential circuits that achieves high degrees of accuracy by significantly reducing the number of injected faults and faulty-event evaluations. Specifically, we dynamically reduce injection of two types of faults: (1) hyperactive faults that never get detected, and (2) faults whose effects never propagate to a flip-flop or primary output. The cost of fault simulation is greatly reduced as injection of most of these two types of faults is prevented. Experiments show that our technique gives very accurate estimates with frequently greater speedups than the sampling techniques for most circuits. Most significantly, the proposed technique can be combined with the sampling approach to obtain speedups equivalent of small sample sizes and retain estimation accuracy of large fault samples.
一种快速、准确、非统计的故障覆盖估计方法
我们提出了一种快速、动态的时序电路故障覆盖估计技术,该技术通过显著减少注入故障和故障事件评估的数量来达到高精度。具体来说,我们动态地减少了两种类型故障的注入:(1)从未被检测到的超活跃故障,以及(2)其影响从未传播到触发器或主输出的故障。由于避免了这两种故障的注入,大大降低了故障模拟的成本。实验表明,对于大多数电路,我们的技术给出了非常准确的估计,并且通常比采样技术的速度更快。最重要的是,该方法可以与抽样方法相结合,获得小样本的等效加速,并保持大故障样本的估计精度。
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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