Hole analysis for functional coverage data
- 1 January 2002
- proceedings article
- Published by Association for Computing Machinery (ACM) in Proceedings of the 39th conference on Design automation - DAC '02
- p. 807-812
- https://doi.org/10.1145/513918.514119
Abstract
One of the main goals of coverage tools is to provide the user with informative presentation of coverage information. Specifically, information on large, cohesive sets of uncovered tasks with common properties is very useful. This paper describes methods for discovering and reporting large uncovered spaces (holes) for cross-product functional coverage models. Hole analysis is a presentation method for coverage data that is both succinct and informative. Using case studies, we show how hole analysis was used to detect large uncovered spaces and improve the quality of verification.Keywords
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