A Multiple Target Test Generation Method for Gate-Exhaustive Faults to Reduce the Number of Test Patterns Using Partial MaxSAT

Ryuki Asami, Toshinori Hosokawa, Masayoshi Yoshimura, Masayuki Arai
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引用次数: 5

Abstract

It is reported that many cell-internal defects remain undetected when VLSI testing is performed using test sets generated for only traditional fault models like stuck-at faults and transition faults. Therefore, test generation methods for cell-aware, defect-aware, and gate-exhaustive fault models have been proposed to resolve the problem. In all the cases, since the numbers of faults and test patterns can be large, test compaction is very important. In this paper, we propose a multiple target test generation method for gate-exhaustive faults to reduce the number of test patterns using Partial MaxSAT. We aim to generate a test pattern which can detect as many target faults as possible simultaneously by Partial MaxSAT. We also propose a multiple target fault selection method for the test generation using independent fault sets and justification technique. Experimental results on ISCAS’89 benchmark circuits show that the number of test patterns was reduced by 35.39% compared with a conventional method on average.
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基于部分MaxSAT的门穷举故障多目标测试生成方法
据报道,当使用仅针对传统故障模型(如卡滞故障和过渡故障)生成的测试集进行VLSI测试时,许多单元内部缺陷仍未被检测到。因此,提出了单元感知、缺陷感知和门穷举故障模型的测试生成方法来解决这一问题。在所有情况下,由于错误和测试模式的数量可能很大,因此测试压缩非常重要。在本文中,我们提出了一种门穷举故障的多目标测试生成方法,以减少使用部分MaxSAT的测试模式的数量。我们的目标是通过局部MaxSAT生成一种可以同时检测尽可能多的目标故障的测试模式。我们还提出了一种使用独立故障集和证明技术进行测试生成的多目标故障选择方法。在ISCAS’89基准电路上的实验结果表明,与传统方法相比,该方法平均减少了35.39%的测试图案数。
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