DocumentCode :
2904271
Title :
Compressing Test Data for Deterministic BIST Using a Reconfigurable Scan Arhcitecture
Author :
Dong Xiang ; Yang Zhao ; Chakrabarty, Khrismendu ; Jiaguang Sun
Author_Institution :
Sch. of Software, Tsinghua Univ., Beijing
fYear :
2006
fDate :
Nov. 2006
Firstpage :
299
Lastpage :
306
Abstract :
The paper presents a new scan-based BIST technique, which is based on weighted scan enable signals and a scan forest architecture. A new testability measure is proposed to guide test pattern generation and produce patterns with fewer specified bits. This approach can effectively reduce the amount test data that needs to be stored on-chip. The proposed BIST method relies on a pseudorandom phase and a deterministic phase. The scan forest architecture is configured as a single scan tree for deterministic test vector application in the second phase. It is found that an LFSR with size equal to the maximum number of the specified bits in the deterministic patterns for the random-resistant faults is sufficient to encode deterministic vectors for the benchmark circuits. Experimental results for benchmark circuits demonstrate the effectiveness of the proposed method
Keywords :
automatic test pattern generation; boundary scan testing; built-in self test; integrated circuit testing; reconfigurable architectures; built-in self- test; deterministic BIST; deterministic phase; pseudorandom phase; reconfigurable scan architecture; scan forest; test data compression; test pattern generation; weighted scan; Benchmark testing; Built-in self-test; Circuit faults; Circuit testing; Computer architecture; Encoding; Logic testing; Phase shifters; Polynomials; Test pattern generators; Deterministic BIST; forest; scan; scan-based BIST; testing with weighted scan enable signal.;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Test Symposium, 2006. ATS '06. 15th Asian
Conference_Location :
Fukuoka
ISSN :
1081-7735
Print_ISBN :
0-7695-2628-4
Type :
conf
DOI :
10.1109/ATS.2006.261035
Filename :
4030783
Link To Document :
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