• DocumentCode
    2064542
  • Title

    Data compression in space under generalized mergeability based on concepts of cover table and frequency ordering

  • Author

    Das, Sunil R. ; Liang, Jiang ; Petriu, Emil M. ; Jone, Wen B. ; Chakrabarty, Krishnendu

  • Author_Institution
    Sch. of Inf. Technol. & Eng., Ottawa Univ., Ont., Canada
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    217
  • Abstract
    This paper considers the general problem of designing and analyzing efficient space compression techniques for built-in self-testing of VLSI circuits using compact test sets. The techniques are based on identifying certain inherent properties of the test output responses of the CUT and the knowledge of failure probabilities. The generalized mergeability criteria of output sequences are developed utilizing the concepts of Hamming distance, sequence weights, cover table and frequency ordering for an arbitrary number of outputs and the effect of failure probabilities on the mergeability criteria is analyzed as well. The techniques proposed achieve a very high fault coverage for single stuck-line faults, with low CPU simulation time, and acceptable hardware overhead, as evident from extensive simulation results on ISCAS 85 combinational benchmark circuits, under conditions of both stochastic independence and dependence of single and multiple line errors
  • Keywords
    VLSI; built-in self test; combinational circuits; data compression; digital integrated circuits; digital simulation; integrated circuit testing; logic testing; Hamming distance; ISCAS 85 combinational benchmark circuits; VLSI circuits; built-in self testing; cover table; failure probabilities; fault coverage; frequency ordering; generalized mergeability; multiple line errors; sequence weights; single errors; single stuck-line faults; space compression; stochastic independence; Automatic testing; Built-in self-test; Circuit faults; Circuit simulation; Circuit testing; Data compression; Failure analysis; Frequency; Hamming distance; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference, 2000. IMTC 2000. Proceedings of the 17th IEEE
  • Conference_Location
    Baltimore, MD
  • ISSN
    1091-5281
  • Print_ISBN
    0-7803-5890-2
  • Type

    conf

  • DOI
    10.1109/IMTC.2000.846856
  • Filename
    846856