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Exploiting distribution of unknown values in test responses to optimize test output compactors

机译:在测试响应中利用未知值的分布,以优化测试输出压缩机

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Test output compactors can effectively reduce the data volume of test responses without scarifying fault coverage. However, when there are unknown values (X-bits) in the test output, the fault coverage can be severely comprised. Many compaction schemes that can handle X-bits have been developed. However, existing test response compaction schemes are designed without considering the locations of errors and X-bits. This design methodology essentially assumes that observable errors as well as X-bits are randomly distributed among all scan cells. Recent studies show that X-bits may not be randomly distributed; some scan cells could capture much more X-bits than others. In this paper, we propose to exploit the nonuniform distribution of X-bits to optimize test response compactors such that a higher compression rate is achieved with lower hardware overhead. The proposed design method is applicable to various test output compaction schemes that can handle X-bits in the test responses, including X-blocking, X-masking, and X-tolerant circuits. Experimental results show that, in the presence of X-bits, the compression results will be significantly improved with the help of the proposed method.
机译:测试输出压缩机可以有效地减少测试响应的数据量而不令人划足故障覆盖。但是,当测试输出中存在未知的值(X-BITS)时,可以严格构成故障覆盖。已经开发了许多可以处理X-Bits的压缩方案。但是,在不考虑错误和X位的位置,设计了现有的测试响应压缩方案。该设计方法基本上假设可观察的错误以及X位随机分布在所有扫描单元之间。最近的研究表明,X位可能不会被随机分布;一些扫描单元可以捕获比其他X位更多。在本文中,我们建议利用X比的非均匀分布来优化测试响应压缩器,使得通过较低的硬件开销实现更高的压缩率。所提出的设计方法适用于各种测试输出压缩方案,可以处理测试响应中的X位,包括X阻挡,X屏蔽和X容差电路。实验结果表明,在X位的存在下,借助于所提出的方法,压缩结果将显着改善。

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