DocumentCode :
1206683
Title :
Accumulator-based test generation for robust sequential fault testing in DSP cores in near-optimal time
Author :
Voyiatzis, Ioannis ; Gizopoulos, Dimitris ; Paschalis, Antonis
Author_Institution :
Dept. of Informatics & Telecommun., Univ. of Athens, Greece
Volume :
13
Issue :
9
fYear :
2005
Firstpage :
1079
Lastpage :
1086
Abstract :
The detection of robustly detectable sequential faults has been extensively studied. A number of researchers have provided theoretical as well as experimental results designating that the application of single input change (SIC) pairs of test patterns results in favorable results for sequential fault testing. In this paper, a novel algorithm for the generation of SIC pairs is presented, termed Accumulator-based test generation for Robust sequential fault testing in Near-optimal time (ARN). ARN is implemented in hardware utilizing an accumulator whose inputs are driven by a barrel shifter. Since such structures are commonly found in general-purpose or specialized microprocessors or digital signal processors (DSP), the presented architecture provides a practical solution for the built-in testing of such circuits.
Keywords :
VLSI; automatic test pattern generation; built-in self test; digital signal processing chips; fault diagnosis; integrated circuit testing; sequential circuits; ARN; DSP cores; SIC pairs; accumulator-based test generation; barrel shifter; built-in testing; circuits testing; delay fault testing; digital signal processors; microprocessors; sequential fault testing; sequential faults detection; stuck-open testing; test patterns generation; two-pattern testing; Change detection algorithms; Circuit faults; Circuit testing; Digital signal processing; Fault detection; Hardware; Robustness; Sequential analysis; Signal processing algorithms; Silicon carbide; Built-in self-test; delay fault testing; stuck-open testing; two-pattern testing;
fLanguage :
English
Journal_Title :
Very Large Scale Integration (VLSI) Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-8210
Type :
jour
DOI :
10.1109/TVLSI.2005.857159
Filename :
1525040
Link To Document :
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