针对高n检测故障覆盖率的低成本测试数据压缩技术

Seongmoon Wang, Zhanglei Wang, Wenlong Wei, S. Chakradhar
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引用次数: 2

摘要

提出了一种结合加权随机模式测试和LFSR重播的测试数据压缩方案。该减压器生成的测试模式可以实现高n检测故障覆盖率。提出的技术从一组由传统的1-检测ATPG工具生成的测试立方体中计算权重集。对计算的权值集进行了修改,以实现高n检测故障覆盖率。所提出的减压器可以实现低面积开销。由于所提出的技术不需要为所提出的方案定制特殊的ATPG,因此它可以压缩由任何ATPG工具生成的测试模式,并从压缩的测试数据中生成测试模式,从而实现高n检测故障覆盖率。实验结果表明,该减压器生成的测试图对大型基准电路具有很高的5检测卡故障覆盖率和高压缩率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A low cost test data compression technique for high n-detection fault coverage
This paper presents a test data compression scheme that combines weighted random pattern testing and LFSR reseeding. Test patterns generated by the proposed decompressor can achieve high n-detection fault coverage. The proposed technique computes weight sets from a set of test cubes that are generated by a traditional 1-detection ATPG tool. The computed weight sets are modified to achieve high n-detection fault coverage. The proposed decompressor can be implemented with low area overhead. Since the proposed technique requires no special ATPG that is customized for the proposed scheme, it can compress test patterns generated by any ATPG tool and generate test patterns from the compressed test data that achieve high n-detection fault coverage. Experimental results show that test patterns generated by the proposed decompressor can achieve very high 5-detection stuck-at fault coverage and high compression for large benchmark circuits.
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