Assessing SRAM test coverage for sub-micron CMOS technologies

  • Authors:
  • V. Kim;T. Chen

  • Affiliations:
  • -;-

  • Venue:
  • VTS '97 Proceedings of the 15th IEEE VLSI Test Symposium
  • Year:
  • 1997

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Abstract

This paper proposes a realistic memory fault probability model which predicts the probabilities of memory fault classes for a given process technology. Physical defects in the memory array are classified into five functional fault classes, which are stuck-at, stuck-open, transition, coupling, and data retention faults. Finally, the memory fault coverages of the known memory test algorithms are evaluated based on their functional fault class coverages.