The coverage problem has been a long standing issue in simulation-
based veri cation. Coverage metrics are required to track the progress and
justify completeness of simulation vectors. This thesis presents a scalable
methodology to automatically generate coverage directives which augment line
coverage for complete coverage of the RTL. The directives target ambiguity
in register relationships derived by statically analyzing behavioral RTL. A
Python-based tool has been built on the presented methodology to gener-
ates implication properties for coverage. The generated properties for two
cores (Amber and V-scale) are instantiated within the testbenches provided
with them. Simulation results with all the test programs highlight module
instances with high line coverage but uncovered properties. These properties
are formally proven to be reachable, thus highlighting coverage holes with the
provided tests and the usefulness of our process.Electrical and Computer Engineerin
