DocumentCode :
3196230
Title :
A genetic testing framework for digital integrated circuits
Author :
Yu, Xiaoming ; Fin, Alessandro ; Fummi, Franco ; Rudnick, Elizabeth M.
Author_Institution :
Center for Reliable & High Performance Comput., Illinois Univ., Urbana, IL, USA
fYear :
2002
fDate :
2002
Firstpage :
521
Lastpage :
526
Abstract :
In order to reduce the time-to-market and simplify gate-level test generation for digital integrated circuits, GA-based functional test generation techniques are proposed for behavioral and register transfer level designs. The functional tests generated can be used for design verification, and they can also be reused at lower levels (i.e. register transfer and logic gate levels) for testability analysis and development. Experimental results demonstrate the effectiveness of the method in reducing the overall test generation time and increasing the gate-level fault coverage.
Keywords :
digital integrated circuits; genetic algorithms; integrated circuit testing; production testing; design verification; digital integrated circuits; fault coverage; functional test generation; gate level test generation; genetic algorithm; logic gate levels; register transfer; testability analysis; Circuit faults; Circuit testing; Digital integrated circuits; Genetics; Integrated circuit testing; Logic design; Logic gates; Logic testing; Registers; Time to market;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Tools with Artificial Intelligence, 2002. (ICTAI 2002). Proceedings. 14th IEEE International Conference on
ISSN :
1082-3409
Print_ISBN :
0-7695-1849-4
Type :
conf
DOI :
10.1109/TAI.2002.1180847
Filename :
1180847
Link To Document :
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