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Test data decompression for multiple scan designs with boundary scan

机译:使用边界扫描的多种扫描设计的测试数据解压缩

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The paper presents an efficient scheme to compress and decompress in parallel deterministic test patterns for circuits with multiple scan chains. It employs a boundary-scan-based environment for high quality testing with flexible trade-offs between test data volume and test application time while achieving a complete fault coverage for any fault model for which test cubes are obtainable. It also reduces bandwidth requirements, as all test cube transfers involve compressed data. The test patterns are generated by the reseeding of a two-dimensional hardware structure which is comprised of a linear feedback shift register (LFSR), a network of exclusive-or (XOR) gates used to scramble the bits of test vectors, and extra feedbacks which allow including internal scan flip-flops into the decompressor structure to minimize the area overhead. The test data decompressor operates in two modes: pseudorandom and deterministic. In the first mode, the pseudorandom pattern generator (PRPG) is used purely as a generator of test vectors. In the latter case, variable-length seeds are serially scanned through the boundary-scan interface into the PRPG and parts of internal scan chains and, subsequently, a decompression is performed in parallel by means of the PRPG and selected scan flip-flops interconnected to form the decompression device. Extensive experiments with the largest ISCAS' 89 benchmarks show that the proposed technique greatly reduces the amount of test data in a cost effective manner.
机译:本文提出了一种有效的方案,用于对具有多个扫描链的电路以并行确定性测试模式进行压缩和解压缩。它采用基于边界扫描的环境进行高质量测试,并在测试数据量和测试应用时间之间灵活权衡,同时针对可获得测试立方体的任何故障模型实现完整的故障覆盖。由于所有测试多维数据集传输都涉及压缩数据,因此它还降低了带宽需求。通过重新播种二维硬件结构来生成测试模式,该二维硬件结构包括线性反馈移位寄存器(LFSR),用于加扰测试矢量位的异或门(XOR)门网络以及额外的反馈这允许将内部扫描触发器包括在解压缩器结构中,以最大程度地减少面积开销。测试数据解压缩器以两种模式运行:伪随机和确定性。在第一模式中,伪随机模式发生器(PRPG)纯粹用作测试向量的发生器。在后一种情况下,通过边界扫描接口将可变长度的种子顺序扫描到PRPG和内部扫描链的一部分中,然后,通过PRPG并行执行解压缩,并将选定的扫描触发器互连形成减压装置。使用ISCAS最高的89个基准进行的广泛实验表明,所提出的技术以经济有效的方式大大减少了测试数据量。

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