Publication Details
Automation and Optimization of Coverage-driven Verification
functional verification
automation
optimization
genetic algorithm
This paper proposes a new method for automation
and optimization of coverage-driven verification (CDV) of
hardware systems that is based on evolutionary computing. In
comparison with the standard CDV that utilizes random search,
using this method, the convergence to the maximum coverage
is much faster, fewer input stimuli are used and no manual
effort is required from the user. Moreover, the optimization is
targeted to the verification process itself without the dependence
on the circuit that is verified. For the demonstration purposes, the
sequential arithmetic-logic unit (ALU) and the RISC processor
were verified and the results show that using the optimization
method, a significant improvement can be achieved.
@INPROCEEDINGS{FITPUB10951, author = "Marcela Zachari\'{a}\v{s}ov\'{a} and Zden\v{e}k Kot\'{a}sek", title = "Automation and Optimization of Coverage-driven Verification", pages = "87--94", booktitle = "Proceedings of the 18th Euromicro Conference on Digital Systems Design", year = 2015, location = "Funchal, PT", publisher = "IEEE Computer Society", ISBN = "978-1-4673-8035-5", doi = "10.1109/DSD.2015.34", language = "english", url = "https://www.fit.vut.cz/research/publication/10951" }