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Fault-Independent Test-Generation for Software-Based Self-Testing

机译:基于软件的自我测试的故障无关的测试生成

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Software-based self-test (SBST) is being widely used in both manufacturing and in-the-field testing of processor-based devices and Systems-on-Chips. Unfortunately, the stuck-at fault model is increasingly inadequate to match the new and different types of defects in the most recent semiconductor technologies, while the explicit and separate targeting of every fault model in SBST is cumbersome due to the high complexity of the test-generation process, the lack of automation tools, and the high CPU-intensity of the fault-simulation process. Moreover, defects in advanced semiconductor technologies are not always covered by the most commonly used fault-models, and the probability of defect-escapes increases even more. To overcome these shortcomings we propose the first fault-independent SBST method. The proposed method is almost fully automated, it offers high coverage of non-modeled faults by means of a novel SBST-oriented probabilistic metric, and it is very fast as it omits the time-consuming test-generation/fault-simulation processes. Extensive experiments on the OpenRISC OR1200 processor show the advantages of the proposed method.
机译:基于软件的自检(SBST)广泛应用于处理器的设备和系统的制造和现场测试。不幸的是,困扰的故障模型越来越不充分,以匹配最新的半导体技术中的新和不同类型的缺陷,而SBST中每个故障模型的显式和单独瞄准由于测试的高复杂性 - 生成过程,缺乏自动化工具,以及高CPU强度的故障仿真过程。此外,高级半导体技术的缺陷并不总是被最常用的故障模型覆盖,并且缺陷逃逸的概率增加更多。为了克服这些缺点,我们提出了第一个无关的SBST方法。所提出的方法几乎完全自动化,通过新颖的SBSTI导向的概率指标提供了高覆盖的非建模故障,并且在省略耗时的测试生成/故障仿真过程时非常快。 OpenRisc或1200处理器的广泛实验显示了该方法的优势。

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