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Efficient Cell-Aware Fault Modeling by Switch-Level Test Generation
Conference paper

Efficient Cell-Aware Fault Modeling by Switch-Level Test Generation

Harry H. Chen, Simon Y-H. Chen, Po-Yao Chuang and Cheng-Wen Wu
Proceedings of the Asian Test Symposium, pp.197-202
12/2016

Abstract

cell internal defects cell-aware testing channel-connected network fault model low-power CMOS switch-level test generation Electrical and Electronic Engineering
This paper proposes methods to drastically reduce the expensive analog fault simulation currently used to create cell-aware fault models. By exploiting low-power properties of common CMOS designs, most defects in the transistor-level netlist containing parasitics can be represented by just two canonical fault classes. Via simple circuit analysis, we show that faulty behaviors are completely predictable as the defect resistance parameter value varies from zero to infinity, thus eliminating the need for circuit simulation at multiple parameter values. The two canonical fault classes can be modeled by transistor switch stuck-open and stuck-closed faults. Rather than enumerating the full combination cell input patterns to search for defect detection conditions by analog fault simulation, switch-level test generation can obtain those input conditions directly, thereby reducing significantly the role of analog simulation to that of ranking conditions in terms of detection effectiveness.

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