Detection probabilities of interconnect breaks: an analysis

  • Authors:
  • Shalini Ghosh;F. Joel Ferguson

  • Affiliations:
  • Electrical and Computer Engineering, University of Texas at Austin, 3477 Lake Austin Blvd, Apt. C, Austin;Computer Engineering Department, Baskin School of Engineering, University of California, Santa Cruz, CA

  • Venue:
  • Integration, the VLSI Journal - Special issue: ACM great lakes symposium on VLSI
  • Year:
  • 2005

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Abstract

An interconnect break is a break that occurs in the interconnect wiring, resulting in logic gate inputs being disconnected from the drivers and causing the wire to float. Interconnect breaks are the most common types of breaks in modern CMOS integrated circuits, so testing and detecting these breaks has become very important. This paper proposes a model by which standard tests for stuck-at-faults can be used to detect interconnect breaks in a circuit. This paper presents a worst-case analysis of the detection of these breaks and calculate the minimum number of test vectors required to detect breaks with a specified confidence level, using n-detection principles. To enhance the understanding of the breaks in the circuit, we present a statistical model based on the length distribution of the wires surrounding the floating wire where the break occurs. From the model we compute the detection probabilities of such breaks and show that the worst case of detection is when the bias voltage is the same as the logic threshold voltage.