DocumentCode
2705079
Title
A genetic algorithm-based system for generating test programs for microprocessor IP cores
Author
Corno, F. ; Reorda, M. Sonza ; Squillero, G. ; Violante, M.
Author_Institution
Dipartimento di Autom. e Inf., Politecnico di Torino, Italy
fYear
2000
fDate
2000
Firstpage
195
Lastpage
198
Abstract
The current digital systems design trend is quickly moving toward a design-and-reuse paradigm. In particular, intellectual property cores are becoming widely used. Since the cores are usually provided as encrypted gate-level netlist, they raise several testability problems. The authors propose an automatic approach targeting processor cores that, by resorting to genetic algorithms, computes a test program able to attain high fault coverage figures. Preliminary results are reported to assess the effectiveness of our approach with respect to a random approach
Keywords
automatic test software; electronic engineering computing; genetic algorithms; industrial property; microprocessor chips; automatic approach; design-and-reuse paradigm; digital systems design trend; encrypted gate-level netlist; fault coverage figures; genetic algorithm based system; genetic algorithms; intellectual property cores; microprocessor IP cores; processor cores; random approach; test program; test program generation; testability problems; Application specific integrated circuits; Automatic testing; Cryptography; Decoding; Genetic algorithms; Intellectual property; Microprocessors; Performance evaluation; System testing; System-on-a-chip;
fLanguage
English
Publisher
ieee
Conference_Titel
Tools with Artificial Intelligence, 2000. ICTAI 2000. Proceedings. 12th IEEE International Conference on
Conference_Location
Vancouver, BC
ISSN
1082-3409
Print_ISBN
0-7695-0909-6
Type
conf
DOI
10.1109/TAI.2000.889869
Filename
889869
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