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A Seed-Selection Method to Increase Defect Coverage for LFSR-Reseeding-Based Test Compression

机译:一种提高基于LFSR的测试压缩缺陷覆盖的种子选择方法

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LFSR reseeding forms the basis for many test compres- sion solutions. A seed can be computed for each test cube by solving a system of linear equations based on the feedback polynomial of the LFSR. Despite the availability of numerous LFSR-reseeding-based compression methods in the literature, relatively little is known about the effectiveness of these seeds for unmodeled defects. We use the recently proposed output deviation measure of the resulting patterns as a metric to select appropriate LFSR seeds. Experimental results are reported using test patterns for stuck-at faults derived from selected seeds. These patterns achieve higher coverage for stuck-open and transition faults than patterns obtained using other methods.
机译:LFSR重新定义为许多测试构成解决方案构成基础。通过基于LFSR的反馈多项式求解线性方程系统,可以为每个测试立方体计算种子。尽管文献中有许多基于LFSR重量的基于LFSR的压缩方法,但对这些种子对未拼质缺陷的有效性,相对较少。我们使用最近提出的输出偏差测量结果模式作为指标选择适当的LFSR种子。报告了使用从选定种子衍生的粘连的试验模式来报告实验结果。这些模式实现了比使用其他方法获得的图案的卡住开放和过渡故障的更高覆盖率。

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