Synopsys, Inc.
Formal verification result prediction

Abstract:

A design verification problem includes a design description and a property to be verified. Feature data is identified from the design verification problem and a result is predicted for the design verification problem based on the feature data. A plurality of verification engines is then orchestrated based on the prediction. Supervised machine learning may be used for the result prediction. Feature data and verification results from a plurality of training test cases are used to train a classifier to create a prediction model. The prediction model uses the feature data of the design verification problem to make a result prediction for the design verification model.