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COMPRESSED SKEWED-LOAD DELAY TEST GENERATION BASED ON EVOLUTION AND DETERMINISTIC INITIALIZATION OF POPULATIONS

机译:基于种群演化和确定性初始化的压缩斜率延迟测试生成

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摘要

The current design and manufacturing semiconductor technologies require to test the products against delay related defects. However, complex system-on-chips (SOCs) require low-overhead testability methods to keep the test cost at an acceptable level. Skewed-load tests seem to be the appropriate way to test delay faults in these SOCs because the test application requires only one storage element per scan cell. Compressed skewed-load test generator based on genetic algorithm is proposed for wrapper-based logic cores of SOCs. Deterministic population initialization is used to ensure the highest achievable transition delay fault coverage for the given wrapper and scan cell order. The developed method performs test data compression by generating test vectors containing already overlapped test vector pairs. The experimental results show high fault coverages, decreased test lengths and better scalability in comparison to recent methods.
机译:当前的设计和制造半导体技术要求对产品进行测试以防与延迟相关的缺陷。但是,复杂的片上系统(SOC)需要低开销的可测试性方法,以将测试成本保持在可接受的水平。偏载测试似乎是测试这些SOC中的延迟故障的合适方法,因为测试应用程序每个扫描单元仅需要一个存储元件。针对基于包装器的SOC逻辑核,提出了一种基于遗传算法的压缩斜载测试发生器。确定性填充初始化用于确保给定包装程序和扫描单元顺序的最高可实现过渡延迟故障覆盖率。所开发的方法通过生成包含已经重叠的测试向量对的测试向量来执行测试数据压缩。实验结果表明,与最新方法相比,故障覆盖率高,测试长度缩短且可扩展性更好。

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