DocumentCode
2679120
Title
Pseudo-functional testing for small delay defects considering power supply noise effects
Author
Yuan, Feng ; Liu, Xiao ; Xu, Qiang
Author_Institution
Dept. of Comput. Sci. & Eng., Chinese Univ. of Hong Kong, Hong Kong, China
fYear
2011
fDate
7-10 Nov. 2011
Firstpage
34
Lastpage
39
Abstract
Detecting small delay defects (SDDs) has become increasingly important to address the quality and reliability concerns of integrated circuits. Without considering functional constraints in the circuits under test, however, existing techniques may generate test patterns that are functionally-unreachable. Such SDD patterns may incur excessive (or limited) power supply noise (PSN) on sensitized paths in test mode, thus leading to over-testing or under-testing of the circuits. In this paper, we propose novel pseudo-functional testing techniques to tackle the above problem. Firstly, by taking the circuit layout information into account, functional constraints related to critical paths are extracted. Then, we generate functionally-reachable test cubes for SDD faults in the circuit. Finally, we use ATPG-like algorithm to justify transitions that pose the maximized PSN effects on sensitized critical paths under the consideration of functional constraints. The effectiveness of the proposed methodology is verified with large ISCAS´89 and ILWS´05 benchmark circuits.
Keywords
automatic test pattern generation; integrated circuit noise; integrated circuit reliability; integrated circuit testing; power supply circuits; ATPG-like algorithm; ILWS´05 benchmark circuits; ISCAS´89 benchmark circuits; PSN effects; SDD faults; SDD patterns; circuit layout; integrated circuit reliability; power supply noise effects; pseudo-functional testing techniques; small delay defects; test patterns; Automatic test pattern generation; Circuit faults; Delay; Layout; Logic gates; Power supplies;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer-Aided Design (ICCAD), 2011 IEEE/ACM International Conference on
Conference_Location
San Jose, CA
ISSN
1092-3152
Print_ISBN
978-1-4577-1399-6
Electronic_ISBN
1092-3152
Type
conf
DOI
10.1109/ICCAD.2011.6105302
Filename
6105302
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