• DocumentCode
    2279455
  • Title

    Transformed pseudo-random patterns for BIST

  • Author

    Touba, Nur A. ; McCluskey, Edward J.

  • Author_Institution
    Dept. of Electr. Eng., Stanford Univ., CA, USA
  • fYear
    1995
  • fDate
    30 Apr-3 May 1995
  • Firstpage
    410
  • Lastpage
    416
  • Abstract
    This paper presents a new approach for on-chip test pattern generation. The set of test patterns generated by a pseudo-random pattern generator (e.g., an LFSR) is transformed into a new set of patterns that provides the desired fault coverage. The transformation is performed by a small amount of mapping logic that decodes sets of patterns that don´t detect any new faults and maps them into patterns that detect the hard-to-detect faults. The mapping logic is purely combinational and is placed between the pseudo-random pattern generator and the circuit under test (CUT). A procedure for designing the mapping logic so that it satisfies test length and fault coverage requirements is described. Results are shown for benchmark circuits which indicate that an LFSR plus a small amount of mapping logic reduces the test length required for a particular fault coverage by orders of magnitude compared with using an LFSR alone. These results are compared with previously published results for other methods, and it is shown that the proposed method requires much less overhead to achieve the same fault coverage for the same test length
  • Keywords
    automatic testing; built-in self test; combinational circuits; integrated circuit testing; logic design; logic testing; BIST; combinational logic; mapping logic; on-chip TPG; onchip test pattern generation; pseudorandom patterns transformation; Built-in self-test; Circuit faults; Circuit testing; Combinational circuits; Decoding; Electrical fault detection; Fault detection; Logic design; Logic testing; Test pattern generators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    VLSI Test Symposium, 1995. Proceedings., 13th IEEE
  • Conference_Location
    Princeton, NJ
  • ISSN
    1093-0167
  • Print_ISBN
    0-8186-7000-2
  • Type

    conf

  • DOI
    10.1109/VTEST.1995.512668
  • Filename
    512668