Cell-Aware Diagnosis of Customer Returns Using Bayesian Inference

S. Mhamdi, P. Girard, A. Virazel, A. Bosio, A. Ladhar
2021 2021 22nd International Symposium on Quality Electronic Design (ISQED)  
This paper presents a new cell-aware diagnosis flow that can be used to address a specific scenario (test protocol) one may encounter during diagnosis of customer returns. In this flow, we use a Bayesian classification method to precisely identify defect candidates. Experiments done on benchmark circuits as well as on a test chip from STMicroelectronics have proven the efficacy of our flow in terms of diagnosis accuracy and resolution.
doi:10.1109/isqed51717.2021.9424337 fatcat:4gkjleyuvzdzteaoguir7tienm