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Partially Invariant Patterns for LFSR-Based Generation of Close-to-Functional Broadside Tests

机译:LFSR的基于LFSR的近似功能广泛测试的部分不变模式

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Close-to-functional scan-based tests are expected to create close-to-functional operation conditions in order to avoid overtesting of delay faults. Existing metrics for the proximity to functional operation conditions are based on the scan-in state. For example, they consider the distance between the scan-in state and a reachable state (a state that the circuit can visit during functional operation). However, the deviation from functional operation conditions can increase during a test beyond the deviation that is measured by the scan-in state. To ensure that the deviation does not increase, this article introduces the concept of a partially invariant pattern. The article describes a procedure for extracting partially invariant patterns from functional broadside tests whose scan-in states are reachable states. Being partially specified, partially invariant patterns are suitable for test data compression. The article studies the use of partially invariant patterns for linear-feedback shift-register (LFSR) based test data compression. Noting that a seed may not exist for a given partially invariant pattern with a given LFSR, the procedure described in this article uses an iterative process that not only matches a seed to a partially invariant pattern, but also adjusts the partially invariant pattern based on the test that the seed produces. The article also addresses the selection of LFSRs for the generation of close-to-functional broadside tests based on partially invariant patterns. Experimental results are presented to demonstrate the feasibility of the procedure.
机译:预计基于近距离扫描的测试将创建靠近功能的操作条件,以避免过度延迟故障。对功能操作条件的邻近度的现有度量基于扫描状态。例如,它们考虑扫描状态和可达状态之间的距离(电路在功能操作期间可以访问的状态)。然而,从功能操作条件的偏差可以在超出通过扫描状态测量的偏差的测试期间增加。为了确保偏差不会增加,本文介绍了部分不变模式的概念。本文介绍了一种用于从扫描状态的功能广泛测试中提取部分不变模式的过程。部分规定,部分不变模式适用于测试数据压缩。本文研究了基于线性反馈移位寄存器(基于LFSR)的测试数据压缩的部分不变模式。注意到具有给定的LFSR的给定部分不变模式的种子可以不存在,本文中描述的过程使用迭代过程,其不仅与种子与部分不变的模式匹配,而且还基于的部分不变模式调整测试种子产生。本文还根据部分不变模式,解决了LFSR的选择,用于产生近距离功能的广泛测试。提出了实验结果以证明程序的可行性。

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