DocumentCode
3389254
Title
Genetic algorithm based test generation for sequential circuits
Author
Shen, Li
Author_Institution
Inst. of Comput. Technol., Acad. Sinica, Beijing, China
fYear
1999
fDate
1999
Firstpage
179
Lastpage
184
Abstract
This paper deals with simulation and genetic algorithm (GA) based test generation for sequential circuits. We proposed a new sequential depth measure called sequential element reachability, which may be used as one of the parameters of the GA. For fitness functions, we propose a new dynamic testability measure, which can be evaluated in parallel for multiple individuals. The test generation is divided to three sub-problems: initialization, test vector generation for a group of faults and test sequence generation for a target fault. Using ISCAS89 benchmarks, experimental results for the GA are given
Keywords
automatic test pattern generation; circuit optimisation; fault simulation; flip-flops; genetic algorithms; integrated circuit testing; logic simulation; logic testing; sequential circuits; ATPG; ISCAS89 benchmarks; dynamic testability measure; fault simulation; fitness functions; flip-flops; genetic algorithm based test generation; initialization; logic simulation; parallel evaluation; sequential circuits; sequential depth measure; sequential element reachability; test sequence generation; test vector generation; Automatic test pattern generation; Circuit faults; Circuit simulation; Circuit testing; Computational modeling; Computers; Genetic algorithms; Sequential analysis; Sequential circuits; Very large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Test Symposium, 1999. (ATS '99) Proceedings. Eighth Asian
Conference_Location
Shanghai
ISSN
1081-7735
Print_ISBN
0-7695-0315-2
Type
conf
DOI
10.1109/ATS.1999.810748
Filename
810748
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