Optimization and Selection of Diagnosis-Oriented Fault-Insertion Points for System Test
Hardware fault-insertion test is a promising method to diagnose functional failures and target no trouble found (NTF) problems in electronic systems. However, it is costly and impractical to equip all the potential fault sites with fault-insertion hardware. We present an optimization method to select the most effective outputs of a module where fault insertion logic must be placed to facilitate diagnosis. Faults inserted at the selected outputs are able to generate fault syndromes that are most similar to the errors produced by defects inside the module. This approach also ensures that the ambiguous fault candidates from other modules are maximally removed from the set of suspects. A fault syndrome is denned by the order of error occurrence at the observation points, and it is referred as an error flow. The similarity between two error flows is measured by the metric of edit distance. An integer linear programming model is used to maximize diagnostic effectiveness with a small number of fault-insertion points. Results on diagnostic accuracy for an open-source RISC highlight the effectiveness of the proposed method compared to a baseline random fault-insertion scheme.
Zhaobo Zhang Zhanglei Wang Xinli Gu Krishnendu Chakrabarty
ECE Dept, Duke University, Durham, NC Cisco Systems, Inc., San Jose, CA
国际会议
2010 19th IEEE Asian Test Symposium(第19届IEEE亚洲测试技术学术会议 ATS 2010)
上海
英文
429-432
2010-12-01（万方平台首次上网日期，不代表论文的发表时间）