• DocumentCode
    3196230
  • Title

    A genetic testing framework for digital integrated circuits

  • Author

    Yu, Xiaoming ; Fin, Alessandro ; Fummi, Franco ; Rudnick, Elizabeth M.

  • Author_Institution
    Center for Reliable & High Performance Comput., Illinois Univ., Urbana, IL, USA
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    521
  • Lastpage
    526
  • Abstract
    In order to reduce the time-to-market and simplify gate-level test generation for digital integrated circuits, GA-based functional test generation techniques are proposed for behavioral and register transfer level designs. The functional tests generated can be used for design verification, and they can also be reused at lower levels (i.e. register transfer and logic gate levels) for testability analysis and development. Experimental results demonstrate the effectiveness of the method in reducing the overall test generation time and increasing the gate-level fault coverage.
  • Keywords
    digital integrated circuits; genetic algorithms; integrated circuit testing; production testing; design verification; digital integrated circuits; fault coverage; functional test generation; gate level test generation; genetic algorithm; logic gate levels; register transfer; testability analysis; Circuit faults; Circuit testing; Digital integrated circuits; Genetics; Integrated circuit testing; Logic design; Logic gates; Logic testing; Registers; Time to market;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 2002. (ICTAI 2002). Proceedings. 14th IEEE International Conference on
  • ISSN
    1082-3409
  • Print_ISBN
    0-7695-1849-4
  • Type

    conf

  • DOI
    10.1109/TAI.2002.1180847
  • Filename
    1180847