• DocumentCode
    2203534
  • Title

    A statistical model for path delay faults in VLSI circuits

  • Author

    Hamad, Mustapha ; Landis, David

  • Author_Institution
    Coll. of Eng., Univ. of South Florida, Tampa, FL, USA
  • fYear
    1996
  • fDate
    11-14 Apr 1996
  • Firstpage
    388
  • Lastpage
    392
  • Abstract
    Faults in digital circuits are primarily the results of various random defects which can occur during manufacturing. These random defects can introduce DC (stuck-at) faults as well as AC (delay) faults. Previous work on statistical modeling and analysis for delay fault testing assumes that at most a single delay fault can occur along any given path in the circuit under test. In this paper, we study the statistical effect of multiple delay faults along any path in the circuit under test. We present a statistical model for path delay faults in VLSI circuits which takes into account multiple delay faults occurring along any given signal. We also show how to compute path delay fault probabilities for all paths in a given circuit. Furthermore, we describe how this statistical model could be used to predict important information such as the maximum number of path delay faults in a given circuit
  • Keywords
    VLSI; digital integrated circuits; electrical faults; integrated circuit modelling; integrated circuit testing; statistical analysis; AC faults; VLSI circuits; circuit under test; delay fault testing; digital circuits; multiple delay faults; path delay fault probabilities; path delay faults; random defects; statistical model; Circuit faults; Circuit testing; Clocks; Delay; Educational institutions; Logic circuits; Probability; Steady-state; Timing; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Southeastcon '96. Bringing Together Education, Science and Technology., Proceedings of the IEEE
  • Conference_Location
    Tampa, FL
  • Print_ISBN
    0-7803-3088-9
  • Type

    conf

  • DOI
    10.1109/SECON.1996.510096
  • Filename
    510096