Techniques to prioritize paths for diagnosis

  • Authors:
  • Rajsekhar Adapa;Spyros Tragoudas

  • Affiliations:
  • Department of Electrical and Computer Engineering, Southern Illinois University, Carbondale, IL;Department of Electrical and Computer Engineering, Southern Illinois University, Carbondale, IL

  • Venue:
  • IEEE Transactions on Very Large Scale Integration (VLSI) Systems
  • Year:
  • 2010

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Abstract

Existing techniques for path delay fault (PDF) diagnosis prune fault-free candidates using nonfailing patterns but fail to reduce the size of suspect set significantly. This paper presents two alternative techniques that can be applied in a postprocessing manner to further reduce the suspect set by prioritizing paths using only the failing patterns. Experimental results on the ISCAS benchmarks demonstrate that they are time and memory efficient.