This paper describes an example case study of $V_{min}$ debug, in which a series of experiments are performed to identify the root cause as individual test patterns that capture the responses of unconstrained paths. Two individual methods are proposed to prevent test patterns from capturing those responses.

This paper proposes machine learning based adaptive test method to reduce wafer sort test time while preserving test quality and diagnostic information.