• DocumentCode
    1629284
  • Title

    Process monitoring oriented IC testing

  • Author

    Maly, Wojciech ; Naik, Samir B.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    1989
  • Firstpage
    527
  • Lastpage
    532
  • Abstract
    The authors proposed the use of functional testing for the extraction of IC manufacturing defect characteristics. It is demonstrated, using an SRAM (static random-access memory) example, that such extraction is feasible if an appropriate methodology for the interpretation of testing results is applied. The methodology allows for the extraction of information about process disturbances and abnormalities causing IC malfunctions. In this methodology the Monte Carlo fault modeling technique, combined with circuit simulation, was applied to build a defect fault vocabulary. The simulation experiment conducted by using this methodology demonstrated that a spectrum of signatures can be created to represent process disturbances. It was also shown that such a spectrum of signatures can be sensitive enough to changes in the defect densities
  • Keywords
    Monte Carlo methods; digital simulation; electronic engineering computing; fault location; integrated circuit testing; integrated memory circuits; production testing; random-access storage; IC malfunctions; IC testing; Monte Carlo fault modeling; SRAM; circuit simulation; defect densities; defect fault vocabulary; functional testing; integrated memory circuits; production testing; spectrum of signatures; static random-access memory; Circuit faults; Circuit simulation; Circuit testing; Data mining; Integrated circuit testing; Manufacturing; Monitoring; Monte Carlo methods; Random access memory; Vocabulary;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Test Conference, 1989. Proceedings. Meeting the Tests of Time., International
  • Conference_Location
    Washington, DC
  • Type

    conf

  • DOI
    10.1109/TEST.1989.82336
  • Filename
    82336