• DocumentCode
    3438464
  • Title

    Deterministic pattern generation for weighted random pattern testing

  • Author

    Reeb, Birgit ; Wunderlich, Hans-Joachim

  • Author_Institution
    Siegen Univ., Germany
  • fYear
    1996
  • fDate
    11-14 Mar 1996
  • Firstpage
    30
  • Lastpage
    36
  • Abstract
    Weighted random pattern testing is now widely accepted as a very economic way for external testing as well as for implementing a built-in self-test (BIST) scheme. The weights may be computed either by structural analysis or by extracting the required information from a precomputed deterministic test set. In this paper, we present a method for generating deterministic test patterns which can easily be transformed into weight sets. These test patterns contain only minimal redundant information such that the weight generation process is not biased, and the patterns are grouped such that the conflicts within a group are minimized. The quality of the weight sets obtained this way is superior to the approaches published so far with respect to a small number of weights and weighted patterns, and a complete fault coverage for all the ISCAS-85 and ISCAS-89 benchmark circuits
  • Keywords
    automatic testing; built-in self test; combinational circuits; logic testing; redundancy; sequential circuits; ISCAS-85 benchmark circuits; ISCAS-89 benchmark circuits; built-in self-test; conflicts; deterministic pattern generation; fault coverage; minimal redundant information; structural analysis; weight generation process; weighted random pattern testing; Automatic testing; Benchmark testing; Built-in self-test; Circuit faults; Circuit testing; Data mining; Fault detection; Hardware; Information analysis; Test pattern generators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    European Design and Test Conference, 1996. ED&TC 96. Proceedings
  • Conference_Location
    Paris
  • ISSN
    1066-1409
  • Print_ISBN
    0-8186-7424-5
  • Type

    conf

  • DOI
    10.1109/EDTC.1996.494124
  • Filename
    494124