DocumentCode
3240066
Title
Physically-Aware N-Detect Test Pattern Selection
Author
Lin, Yen-Tzu ; Poku, Osei ; Bhatti, Naresh K. ; Blanton, R. D Shawn
Author_Institution
Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA
fYear
2008
fDate
10-14 March 2008
Firstpage
634
Lastpage
639
Abstract
N-detect test has been shown to have a higher likelihood for detecting defects. However, traditional definitions of N-detect test do not necessarily exploit the localized characteristics of defects. In physically-aware N-detect test, the objective is to ensure that the N tests establish N different logical states on the signal lines that are in the physical neighborhood surrounding the targeted fault site. We present a test selection procedure for creating a physically- aware N-detect test set that satisfies a user-provided constraint on test-set size. Results produced for an industrial test chip demonstrate the effectiveness and practicability of our pattern selection approach. Specifically, we show that we can virtually detect the same number of faults 10 or more times as a traditional 10-detect test set and increase the number of neighborhood states and the number of faults with 10 or more states by 18.0 and 4.7%, respectively, without increasing the number of tests over a traditional 10-detect test set.
Keywords
automatic test pattern generation; fault diagnosis; logic testing; N different logical states; fault detection; industrial test chip; physical neighborhood; physically-aware N-detect test pattern selection; signal lines; test-set size; user-provided constraint; Automatic test pattern generation; Automatic testing; Circuit faults; Circuit testing; Complexity theory; Fault detection; Logic circuits; Logic testing; Test pattern generators; Timing;
fLanguage
English
Publisher
ieee
Conference_Titel
Design, Automation and Test in Europe, 2008. DATE '08
Conference_Location
Munich
Print_ISBN
978-3-9810801-3-1
Electronic_ISBN
978-3-9810801-4-8
Type
conf
DOI
10.1109/DATE.2008.4484748
Filename
4484748
Link To Document