DocumentCode
1305634
Title
Gauss-elimination-based generation of multiple seed-polynomial pairs for LFSR
Author
Huang, Li-Ren ; Jou, Jing-Yang ; Kuo, Sy-Yen
Author_Institution
Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
Volume
16
Issue
9
fYear
1997
fDate
9/1/1997 12:00:00 AM
Firstpage
1015
Lastpage
1024
Abstract
This paper presents a new and efficient strategy of pseudorandom pattern generation (PRPG) for IC testing. It uses a general programmable LFSR (P-LFSR) to offer multiple-seed and multiple-polynomial PRPG. The deterministic pattern set generated by an ATPG tool or supplied by the designers is used to guide the generation of pseudorandom patterns. A novel application of the Gauss-elimination procedure is proposed to find the seeds as well as the polynomials. With an intelligent heuristic to further utilize the essential faults, this approach becomes very efficient, even for the random pattern resistant (RPR) circuits. Experiments are conducted on the ISCAS-85 benchmarks and the full scan version of the ISCAS-89 benchmarks. For all benchmark circuits, complete fault coverage is achieved with good balance on the hardware overhead and the test lengths as compared to other schemes
Keywords
automatic testing; built-in self test; circuit feedback; integrated circuit testing; logic testing; polynomials; shift registers; ATPG; BILBO; BIST; Gauss elimination; IC testing; deterministic pattern set; fault coverage; intelligent heuristic; linear feedback shift register; mixed-mode testing; multiple seed-polynomial pairs; multiple-polynomial PRPG; multiple-seed PRPG; programmable LFSR; pseudorandom pattern generation; random pattern resistant circuit; Benchmark testing; Built-in self-test; Circuit faults; Circuit testing; Electrical fault detection; Fault detection; Gaussian processes; Hardware; Integrated circuit testing; Test pattern generators;
fLanguage
English
Journal_Title
Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on
Publisher
ieee
ISSN
0278-0070
Type
jour
DOI
10.1109/43.658569
Filename
658569
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