• DocumentCode
    3362319
  • Title

    Clustering techniques for improving transient current testing

  • Author

    Serhal, Cezar ; Chehab, Ali ; Kayssi, Ayman

  • Author_Institution
    ECE Dept., American Univ. of Beirut, Beirut, Lebanon
  • fYear
    2009
  • fDate
    15-17 Nov. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Several techniques are used to detect defects in digital integrated circuits. Among these techniques is transient current testing (iDDT). The detection capability of iDDT degrades as the size and switching activity of the circuit under test (CUT) increases. In this paper we present clustering techniques that control the switching activity of one cluster in response to applied test vector-pairs. Our clustering techniques take into consideration the physical layout of the gates in the CUT. This paper shows the results of the clustering techniques when applied to ISCAS benchmark circuits and verify, using circuit simulation, the ability of the techniques in improving defect detection capabilities of iDDT-based testing.
  • Keywords
    digital integrated circuits; integrated circuit reliability; integrated circuit testing; clustering; defect detection; digital integrated circuits; switching; transient current testing; Benchmark testing; Circuit simulation; Circuit testing; Clustering algorithms; Degradation; Digital integrated circuits; Integrated circuit testing; Partitioning algorithms; Switching circuits; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design and Test Workshop (IDT), 2009 4th International
  • Conference_Location
    Riyadh
  • Print_ISBN
    978-1-4244-5748-9
  • Type

    conf

  • DOI
    10.1109/IDT.2009.5404121
  • Filename
    5404121