Abstract
Deterministic test generation algorithms are highly complex and time-consuming. New approaches are needed to reduce execution time and to improve fault coverage. In this work, genetic algorithms for sequential circuit test generation are offered. The genetic algorithm builds candidate test vectors and sequences, using a deductive-parallel fault simulator to compute the fitness of each candidate test. The deductive-parallel method is offered for significant improvement of fault coverage percentage and for speed up of test generators. A new hardware deductive-parallel fault simulator is developed. It combines the advantages of deductive and parallel fault simulation algorithms for digital circuits described at gate, functional and RTL levels. Experimental results shows high fault coverage for most of the ISCAS'89 sequential benchmark circuits, and execution times were significantly lower than in a deterministic test generator and in test generators using random selection of the initial population.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.