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On Test Data Compression Using Selective Don't-Care Identification

机译:在测试数据压缩时,使用选择性不关注识别

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摘要

This paper proposes an effective method for reducing test data volume under multiple scan chain designs. The proposed method is based on reduction of distinct scan vectors using selective don 't-care identification. Selective don 't-care identification is repeatedly performed under conditions that each bit of frequent scan vectors is fixed to binary values (0 or 1). Besides, a code extension technique is adopted for shortening the code length for frequent scan vectors in the manner that the code length for rare scan vectors is designed as double of that for frequent ones. The effectiveness of the proposed method is shown through experiments for ISCAS'89 and ITC'99 benchmark circuits.
机译:本文提出了一种在多扫描链设计下减少测试数据量的有效方法。所提出的方法基于使用选择性DON的T-护理识别来减少不同的扫描载体。在频繁扫描向量的每个位固定到二进制值(0或1)的条件下重复执行选择性Don'T-Care识别。此外,采用代码扩展技术来缩短频繁扫描向量的代码长度,以稀有扫描向量的代码长度设计为频繁的代码长度。通过ISCAS'89和ITC'99基准电路的实验显示了所提出的方法的有效性。

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