On enabling diagnosis for 1-Pin Test fails in an industrial flow

The 1-Pin Test concept has proven to be beneficial for test cost reduction. By compacting test responses into a signature and reading them out at test end, test parallelism can be increased significantly. This reduces the test time and thus test cost. Especially cost-sensitive devices, e.g. IoT end nodes, profit. A drawback of this method is the limited capability of diagnosis due to the lack of cycle-accurate PASS/FAIL information. In this paper, we present a new approach to tackle this challenge. It enables the use of an industrial diagnosis flow for fails that occurred during 1-Pin Test. For this purpose, we propose failing vector and failing cycle analysis techniques. Our approach is fault model independent and not limited to a single fault assumption. We mitigate the aliasing problem by masking. The effectiveness of our approach is shown on an investigation of real silicon fails in industrial designs.