Machine learning (ml)-based static verification for derived hardware-design elements

Abstract

Disclosed herein are system, computer-readable storage medium, and method embodiments of machine-learning (ML)-based static verification for derived hardware-design elements. A system including at least one processor may be configured to extract a feature set from a hardware description and evaluate a similarity index of a first hardware element with respect to a second hardware element, using an ML process based on the feature set, wherein the first hardware element is described in the hardware description. The at least one processor may be further configured to update one or more parameters corresponding to a static verification of the hardware description while the static verification is being performed, by providing at least one test attribute, corresponding to the second hardware element, applicable to the first hardware element, in response to determining that the similarity index is within a specified range, and additionally output a first result of the static verification.