DocumentCode
3473157
Title
Combinatorial group testing methods for the BIST diagnosis problem
Author
Kahng, Andrew B. ; Reda, Sherief
Author_Institution
Dept. of Comput. Sci. & Electr. Comput. Eng., California Univ., San Diego, La Jolla, CA, USA
fYear
2004
fDate
27-30 Jan. 2004
Firstpage
113
Lastpage
116
Abstract
We examine an abstract formulation of BIST diagnosis in digital logic systems. The BIST diagnosis problem has applications that include identification of erroneous test vectors, faulty scan cells, faulty modules, and faulty logic blocks in FPGAs. We develop an abstract model of this problem and show a fundamental correspondence to the well-established subject of combinatorial group testing (CGT) [Ding-Zhu Du et al., (1994)]. Armed with this new perspective, we show how to improve on a number of existing techniques in the VLSI diagnosis literature. In addition, we adapt and apply a number of CGT algorithms that are well-suited to the diagnosis problem in the digital realm. We also propose completely new methods and empirically evaluate the different algorithms. Our experiments show that results of the proposed algorithms outperform recent diagnosis techniques [J. Ghosh-Dastidar et al. (1999), (2000), J. Rajski et al. (1997)]. Finally, we point out future directions that can lead to new solutions for the BIST diagnosis problem.
Keywords
VLSI; built-in self test; computational complexity; fault diagnosis; field programmable gate arrays; BIST diagnosis problem; FPGA; VLSI diagnosis literature; combinatorial group testing method; digital logic system; faulty logic block; faulty modules; faulty scan cells; Built-in self-test; DSL; Fault detection; Fault diagnosis; Field programmable gate arrays; Hardware; Logic testing; Shift registers; Test pattern generators; Very large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Design Automation Conference, 2004. Proceedings of the ASP-DAC 2004. Asia and South Pacific
Print_ISBN
0-7803-8175-0
Type
conf
DOI
10.1109/ASPDAC.2004.1337550
Filename
1337550
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