Multiple defect diagnosis using no assumptions on failing pattern characteristics

  • Authors:
  • Xiaochun Yu;R. D. Shawn Blanton

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

  • Venue:
  • Proceedings of the 45th annual Design Automation Conference
  • Year:
  • 2008

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Abstract

We propose an effective multiple defect diagnosis methodology that does not depend on failing pattern characteristics. The methodology consists of a conservative defect site identification and elimination algorithm, and an innovative path-based defect site elimination technique. The search space of the diagnosis method does not grow exponentially with the number of defects in the circuit under diagnosis. Simulation experiments show that this method can effectively diagnose circuits that are affected by 10 or more faults that include multiple stuck-at, bridge and transistor stuck-open faults.