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Cell-Aware Diagnosis of Customer Returns Using Bayesian Inference
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