Optimization of the Store-and-Generate Based Built-in Self-Test

Abstract

Classical built-in self-test (BIST) architectures are usually relying on linear feedback shift registers (LFSR) for test set generation and test response compaction. This paper is based on extension of the classical BIST, namely hybrid BIST, where pseudorandom test patterns are complemented with precomputed deterministic test patterns to increase the fault coverage and reduce test time. We will propose a method, based on store-and-generate approach, to find the optimal balance between pseudorandom and stored deterministic test patterns. The objective is to minimize the test time at given memory constraints, without losing test quality. We propose an iterative search method and the experimental results on benchmark circuits have proved the efficiency of the proposed approach for hybrid BIST optimization