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Test patterns reordering method based on Gamma distribution

机译:基于伽玛分布的测试图案重排序方法

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摘要

Aiming at the problem that the test time is too long and the test efficiency is affected, an adaptive test patterns reordering method based on Gamma distribution was proposed. And a probability model based on Gamma distribution for the probability of each test pattern hitting fault was established. During the test, the circuit to be tested was added to the sample space, and the parameters of probability model were updated dynamically, and the test patterns were reordered synchronously. The experimental results showed that the reordered test patterns have higher test quality, which can reduce the test time and test cost of the faulty circuit. The algorithm is completely software-based and does not require any additional hardware overhead and is directly compatible with traditional integrated circuit testing process.
机译:针对测试时间过长,影响测试效率的问题,提出了一种基于伽玛分布的自适应测试模式重排序方法。并建立了基于伽马分布的概率模型,测试了每个测试模式发生故障的概率。在测试过程中,将要测试的电路添加到样本空间,并动态更新概率模型的参数,并对测试模式进行同步重新排序。实验结果表明,重新排序的测试图案具有更高的测试质量,可以减少故障电路的测试时间和测试成本。该算法完全基于软件,不需要任何额外的硬件开销,并且与传统的集成电路测试过程直接兼容。

著录项

  • 来源
    《Integration》 |2020年第5期|66-71|共6页
  • 作者

  • 作者单位

    Anqing Normal Univ Sch Comp & Informat Anqing 246133 Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Adaptive testing; Test reordering; Gamma distribution; Bayesian statistics;

    机译:自适应测试;测试重新排序;伽玛分布;贝叶斯统计;

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