By Topic

Extracting precise diagnosis of bridging faults from stuck-at fault information

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Arslan, B. ; Dept. of Comput. Sci. & Eng., California Univ., San Diego, La Jolla, CA, USA ; Orailoglu, A.

Although the stuck-at fault model is the standard fault model. the frequently occurring faults in some technologies arc unintentional shorts, denoted as bridging faults. We outline a method that utilizes the information from the stuck-at fault model to accurately diagnose the bridging faults that affect two lines. The proposed method exploits the observation that the bridging fault response matches the stuck-at fault responses on the shorted lines for the failing test vectors and generates a candidate list that accounts for all failures. A further reduction in the size of the candidate set is achieved by extracting information from the test vectors that do not fail. The proposed method uses no layout information whatsoever. Nonetheless, the experimental results indicate that the bridging faults can be accurately diagnosed delivering a reduction in the sizes of the ambiguity sets and full capture of the offending bridging fault.

Published in:

Test Symposium, 2003. ATS 2003. 12th Asian

Date of Conference:

16-19 Nov. 2003