DocumentCode :
2334652
Title :
Genetic method for compressed skewed-load delay test generation
Author :
Dobai, Roland ; Balaz, Marcel
Author_Institution :
Inst. of Inf., Bratislava, Slovakia
fYear :
2012
fDate :
18-20 April 2012
Firstpage :
242
Lastpage :
247
Abstract :
Complex system-on-chips (SOCs) require low-overhead testability methods to keep the test cost at an acceptable level. Skewed-load tests seem to be the appropriate way to test delay faults in these SOCs because the test application requires only one storage element per scan cell. Compressed skewed-load test generator based on genetic algorithm is proposed for wrapper-based logic cores of SOCs. Deterministic population-initialization is used to ensure the highest achievable transition delay fault coverage for the given wrapper and scan cell order. The developed genetic algorithm performs test data compression by generating test vectors containing already overlapped test vector pairs. The experimental results show high fault coverages, decreased test lengths and better scalability in comparison to recent methods.
Keywords :
data compression; genetic algorithms; integrated circuit testing; system-on-chip; SOC; complex system-on-chips; compressed skewed-load delay test generation; delay fault test; deterministic population-initialization; genetic algorithm; low-overhead testability methods; scan cell order; test cost; test data compression; test vectors; transition delay fault coverage; wrapper order; wrapper-based logic cores; Biological cells; Circuit faults; Delay; Genetic algorithms; Integrated circuit modeling; System-on-a-chip; Vectors; automatic test pattern generation; genetic algorithms; skewed-load; test data compression; test length; transition delay fault;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Design and Diagnostics of Electronic Circuits & Systems (DDECS), 2012 IEEE 15th International Symposium on
Conference_Location :
Tallinn
Print_ISBN :
978-1-4673-1187-8
Electronic_ISBN :
978-1-4673-1186-1
Type :
conf
DOI :
10.1109/DDECS.2012.6219065
Filename :
6219065
Link To Document :
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