PASSAT 2.0: A multi-functional SAT-based testing framework

R. Drechsler, Melanie Diepenbeck, Stephan Eggersglüß, R. Wille
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引用次数: 8

Abstract

An important step in the manufacturing process is the postproduction test. Here, a test set is applied to each manufactured chip in order to detect defective devices. The test set is typically generated by ATPG (Automatic Test Pattern Generation) algorithms. Classical ATPG algorithms work on a gate-level netlist and use structural knowledge and heuristics to guide the search in order to obtain a test set. Additionally, the use of ATPG is coupled or accompanied by other test techniques to increase the quality and the compaction of the test set. For example, timing-aware ATPG integrates timing information into the search process to guide the heuristic towards determining the longest paths and n-detection test generation is used to increase the detection quality for unmodeled defects. Fault simulation is applied as a post-processing technique to remove detected faults from the fault list and, by this, to decrease the pattern count as well as the overall ATPG run time. Static and dynamic test compaction techniques are further used for test set compaction. All these techniques are well developed. However, solving them separately limits the quality of the results.
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PASSAT 2.0:基于sat的多功能测试框架
制作过程中的一个重要步骤是后期测试。在这里,一个测试集应用于每个制造芯片,以检测有缺陷的设备。测试集通常由ATPG(自动测试模式生成)算法生成。经典的ATPG算法在门级网表上工作,并使用结构知识和启发式来指导搜索,以获得测试集。此外,ATPG的使用与其他测试技术相结合或伴随使用,以提高测试集的质量和压实度。例如,时间感知的ATPG将时间信息集成到搜索过程中,以指导启发式确定最长路径,并使用n检测测试生成来提高未建模缺陷的检测质量。故障模拟作为一种后处理技术,用于从故障列表中删除检测到的故障,从而减少模式计数以及整个ATPG运行时间。静态和动态测试压实技术进一步用于测试集压实。所有这些技术都很发达。然而,单独解决它们会限制结果的质量。
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