• DocumentCode
    2200911
  • Title

    An efficient I/sub DDQ/ test generation scheme for bridging faults in CMOS digital circuits

  • Author

    Chen, Tzuhao ; Hajj, Ibrahim N. ; Rudnick, Elizabeth M. ; Patel, Janak H.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
  • fYear
    1996
  • fDate
    24-25 Oct. 1996
  • Firstpage
    74
  • Lastpage
    78
  • Abstract
    In a previous work on test generation for I/sub DDQ/ bridging faults in CMOS circuits, a genetic algorithm (GA) based approach targeting the all-pair bridging fault set stored in a compact-list data structure was used. In this paper, we target a reduced fault set, such as the one extracted from circuit layout. The reduced fault set is O(N) versus O(N/sup 2/) for the all-pair set, where N is the number of nodes in the transistor netlist. For test generation purposes, a linear-list data structure is found to be more efficient than the compact-list when a reduced fault list is targeted. We report on results for benchmark circuits that illustrate that test generation using a reduced fault list takes less time and results in more compact I/sub DDQ/ test sets with higher fault coverage of targeted bridging faults. The effects of GA sequence lengths on test generation times and test set quality are also considered.
  • Keywords
    CMOS digital integrated circuits; fault diagnosis; genetic algorithms; integrated circuit testing; CMOS digital circuit; IDDQ test generation; all-pair set; bridging faults; circuit layout; compact-list data structure; genetic algorithm; CMOS digital integrated circuits; Circuit faults; Circuit simulation; Circuit testing; Contracts; Data structures; Digital circuits; Electrical fault detection; Fault detection; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IDDQ Testing, 1996., IEEE International Workshop on
  • Conference_Location
    Washington, DC, USA
  • Print_ISBN
    0-8186-7655-8
  • Type

    conf

  • DOI
    10.1109/IDDQ.1996.557833
  • Filename
    557833