Fault Diagnosis in Scan-Based BIST Using Both Time and Space Information

  • Authors:
  • Jayabrata Ghosh-Dastidar;Debaleena Das;Nur A. Touba

  • Affiliations:
  • -;-;-

  • Venue:
  • ITC '99 Proceedings of the 1999 IEEE International Test Conference
  • Year:
  • 1999

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Abstract

A new technique for diagnosis in a scan-based BISTenvironment is presented. It allows non-adaptiveidentification of both the scan cells that capture errors(space information) as well as a subset of the failing testvectors (time information). Having both space and timeinformation allows a faster and more precise diagnosis.Previous techniques for identifying the failing test vectorsduring BIST have been limited in the multiplicity of errorsthat can be handled and/or require a very large hardwareoverhead. The proposed approach, however, uses onlytwo cycling registers at the output of the scan chain toaccurately identify a subset of the failing BIST testvectors. This is accomplished using some novel pruningtechniques that efficiently extract information from thesignatures of the cycling registers. While not all thefailing BIST test vectors can be identified, results indicatethat a significant number of them can be. This additionalinformation can save a lot of time in failure analysis.