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pro vyhledávání: '"Giora Simchoni"'
Publikováno v:
MLCAD
Identifying large and important coverage holes is a time-consuming process that requires expertise in the design and its verification environment. This paper describes a novel machine learning-based technique for finding large coverage holes when the
Publikováno v:
2019 ACM/IEEE 1st Workshop on Machine Learning for CAD (MLCAD).
Early identification of areas that are at-risk in a design under development can help design and verification teams take early preventive and corrective measures. We propose a novel system that predicts which files are at risk of being buggy. Our sim