Physically-aware N-detect test pattern selection

  • Authors:
  • Yen-Tzu Lin;Osei Poku;Naresh K. Bhatti;R. D. (Shawn) Blanton

  • Affiliations:
  • Carnegie Mellon University, Pittsburgh PA;Carnegie Mellon University, Pittsburgh PA;Carnegie Mellon University, Pittsburgh PA;Carnegie Mellon University, Pittsburgh PA

  • Venue:
  • Proceedings of the conference on Design, automation and test in Europe
  • Year:
  • 2008

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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.