Diagnosis of Delay Defects Using Statistical Timing Models

  • Authors:
  • Angela Krstic;Li-C. Wang;Kwang-Ting Cheng;Jing-Jia Liou

  • Affiliations:
  • -;-;-;-

  • Venue:
  • VTS '03 Proceedings of the 21st IEEE VLSI Test Symposium
  • Year:
  • 2003

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Abstract

In this paper, we study the problem of delay defectdiagnosis based on statistical timing models. We propose a diagnosisalgorithm that can effectively utilize statistical timing informationbased upon single defect assumption. We evaluate itsperformance and its applicability to single as well as multiple defectscenarios via statistical defect injection and simulation. Witha statistical timing analysis framework developed in the past, wedemonstrate the new concept in statistical delay defect diagnosis,and discuss experimental results using benchmark circuits.