• DocumentCode
    2168646
  • Title

    Test Pattern Selection and Compaction for Sequential Circuits in an HDL Environment

  • Author

    Haghbayan, M.H. ; Karamati, S. ; Javaheri, F. ; Navabi, Z.

  • Author_Institution
    Electr. & Comput. Eng. Dept., Univ. of Tehran, Tehran, Iran
  • fYear
    2010
  • fDate
    1-4 Dec. 2010
  • Firstpage
    53
  • Lastpage
    56
  • Abstract
    In this paper we are revisiting the issue of sequential circuit test generation, and use a selective random pattern test generation method implemented in an HDL environment. The method uses a statistical expectation graph and states of the sequential circuit for selecting the appropriate test vectors to achieve better fault coverage and a more compact test set. To further reduce the size of the generated test set, a static compaction method, which is also implemented in an HDL environment, is used after the test generation process. The experimental results show that selecting good test patterns among random test patterns, not only can be implemented dynamically in an HDL design environment, but also results in a better fault coverage and shorter test pattern length in comparison with some traditional deterministic methods. In addition, it will be shown that static test set compaction methods can considerably reduce the test length of test patterns for sequential designs obtained by our proposed method.
  • Keywords
    automatic test pattern generation; circuit testing; sequential circuits; HDL environment; compaction; random pattern test generation method; sequential circuit test generation; test pattern selection; Circuit faults; Compaction; Hardware design languages; Integrated circuit modeling; Sequential circuits; Silicon; Testing; PLI; compaction; expectation graph; random test generation; sequential circuit; shortest sequence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Test Symposium (ATS), 2010 19th IEEE Asian
  • Conference_Location
    Shanghai
  • ISSN
    1081-7735
  • Print_ISBN
    978-1-4244-8841-4
  • Type

    conf

  • DOI
    10.1109/ATS.2010.85
  • Filename
    5692222