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Fast evaluation of test vector sets using a simulation-based statistical metric

机译:使用基于模拟的统计量度快速评估测试向量集

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Evaluating the coverage of tests for large circuits is computationally very intensive, particularly for logic BIST, software-based self test and on-line test schemes. This has led to research into techniques for rapidly evaluating the coverage of proposed test. We introduce a new metric which is highly correlated with fault coverage measured by gate-level simulators. Based on this metric, we estimate the time when the fault coverage saturates. This is done with only one pass of simulation and it provides a measure of the effectiveness of the test sequence when applied to the circuit-under-test; additionally, the fault coverage can be estimated with a relatively small number of test vectors. Experimental results on the ISCAS'85 and ISCAS'89 benchmarks, and a RISC processor (OR1200), show an average error of 2.85% in the estimated fault coverage compared with the fault coverage from full fault simulation, with an average speedup over 8x for large circuits.
机译:评估大型电路的测试覆盖范围需要大量计算,尤其是对于逻辑BIST,基于软件的自测试和在线测试方案。这导致了对用于快速评估建议的测试范围的技术的研究。我们引入了一种新的指标,该指标与门级模拟器测得的故障覆盖率高度相关。基于此度量,我们估计故障覆盖范围达到饱和的时间。仅需一遍仿真即可完成此操作,并且可以将其应用于被测电路,从而衡量测试序列的有效性。另外,可以用相对较少数量的测试向量来估计故障覆盖率。在ISCAS'85和ISCAS'89基准以及RISC处理器(OR1200)上的实验结果表明,与完全故障模拟的故障覆盖率相比,估算的故障覆盖率的平均误差为2.85%,平均加速比高出8倍。大型电路。

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