• DocumentCode
    2278610
  • Title

    Identifying sequentially untestable faults using illegal states

  • Author

    Long, David E. ; Iyer, Mahesh A. ; Abramovici, Miron

  • Author_Institution
    AT&T Bell Labs., Murray Hill, NJ, USA
  • fYear
    1995
  • fDate
    30 Apr-3 May 1995
  • Firstpage
    4
  • Lastpage
    11
  • Abstract
    In this paper, we first present an algorithm (FILL) which efficiently identifies a large subset of the illegal states in a synchronous sequential circuit, without assuming a global reset mechanism. A second algorithm, FUNI, finds sequentially untestable faults whose detection requires some of the illegal states computed by FlLL. Although based on binary decision diagrams (BDDs), FILL is able to process large circuits by using a new functional partitioning procedure. The incremental building of the set of illegal states guarantees that FILL mill always obtain at least a partial solution. FUNI is a direct method that identifies untestable faults without using the exhaustive search involved in automatic test generation (ATG). Experimental results show that FUNI finds a large number of untestable faults up to several orders of magnitude faster than an ATG algorithm that targeted the faults identified by FUNI, Also, many untestable faults identified by FUNI were aborted by the test generator
  • Keywords
    automatic testing; fault diagnosis; integrated circuit testing; logic partitioning; logic testing; sequential circuits; FILL algorithm; FUNI algorithm; binary decision diagrams; functional partitioning procedure; illegal states; incremental building; partial solution; sequentially untestable faults; synchronous sequential circuit; test generator; Boolean functions; Circuit faults; Circuit testing; Data structures; Electrical fault detection; Fault detection; Fault diagnosis; Milling machines; Partitioning algorithms; Sequential circuits;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    VLSI Test Symposium, 1995. Proceedings., 13th IEEE
  • Conference_Location
    Princeton, NJ
  • ISSN
    1093-0167
  • Print_ISBN
    0-8186-7000-2
  • Type

    conf

  • DOI
    10.1109/VTEST.1995.512610
  • Filename
    512610