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Computing Seeds for LFSR-Based Test Generation From Nontest Cubes

机译:从非测试多维数据集计算基于LFSR的测试生成的种子

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摘要

In test data compression methods that are based on the use of a linear-feedback shift register (LFSR), a seed that produces a test for a target fault is computed based on a test cube for the fault. With a given LFSR, a seed may not exist for a given test cube, even though a seed may exist for a different test cube that detects the same fault. This issue is addressed in this brief by computing seeds for LFSR-based test generation without using test cubes. Instead, the procedure described in this brief is based on the use of nontest cubes. A nontest cube for a fault must be avoided in any test or test cube for the fault in order to allow the fault to be detected. Therefore, nontest cubes do not limit the ability of the procedure to compute seeds with a given LFSR. Experimental results demonstrate the advantages that the use of nontest cubes provides, and the associated computational cost.
机译:在基于使用线性反馈移位寄存器(LFSR)的测试数据压缩方法中,基于故障的测试多维数据集计算产生针对目标故障的测试的种子。对于给定的LFSR,即使对于检测到相同故障的其他测试多维数据集可能不存在种子,对于给定的测试多维数据集也可能不存在种子。在本简介中,此问题通过不使用测试多维数据集而为基于LFSR的测试生成计算种子来解决。而是,本简介中描述的过程基于非测试多维数据集的使用。必须在任何故障测试或测试多维数据集中都避免使用非故障多维数据集,以便能够检测到故障。因此,非测试多维数据集不限制该过程计算具有给定LFSR的种子的能力。实验结果证明了使用非测试立方体可提供的优势以及相关的计算成本。

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