Using Machine Learning To Automate Debug Of Simulation Regression Results

Regression failure debug is usually a manual process wherein verification engineers debug hundreds, if not thousands of failing tests. Machine learning (ML) technologies have enabled an automated debug process that not only accelerates debug but also eliminates errors introduced by manual efforts. This white paper discusses how verification engineers can more efficiently analyze, bin, triage... » read more