Adaptive Diagnostic Pattern Generation for Scan Chains

Scan is a widely used design-for-testability technique to improve test and diagnosis quality, however, scan chain failures account for almost 50% of chip failures. In this paper, a SAT-based technique is proposed to adaptively generate patterns to diagnose stuck-at faults in scan chains. Experimental results on ISCAS'89 benchmark circuits show that the proposed method can dramatically reduce the number of diagnostic patterns while obtain high diagnosis resolution.

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