• DocumentCode
    2754863
  • Title

    Efficient Software-Based Self-Test Methods for Embedded Digital Signal Processors

  • Author

    Zhu, Jun-Jie ; Lin, Wen-Ching ; Ye, Jheng-Hao ; Shieh, Ming-Der

  • Author_Institution
    Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
  • fYear
    2009
  • fDate
    23-26 Nov. 2009
  • Firstpage
    206
  • Lastpage
    211
  • Abstract
    Embedded processors are ubiquitous in today´s system-on-chip design. In addition to designing digital signal processors (DSPs) for various applications, developing efficient test methods with little overhead and desired fault coverage for DSPs are also crucial and practical. Compared with the scan-based test methods, the software-based self-test (SBST) method does not suffer from area overhead and performance degradation, and can provide at-speed test for DSPs with the potential drawbacks of lower fault coverage and a larger amount of test vectors. This paper explores techniques to improve the fault coverage of SBST methods for the developed DSP core with instructions fully compatible with those of the TI TMS320C54x. Experimental results exhibit that applying the developed SBST test flow obtains more than 96% fault coverage for our DSP core, which is higher than the reported values in related works.
  • Keywords
    digital signal processing chips; embedded systems; fault diagnosis; integrated circuit testing; system-on-chip; DSP core; TI TMS320C54x; at-speed test; embedded digital signal processors; fault coverage; software-based self-test methods; system-on-chip design; Application software; Automatic testing; Built-in self-test; Degradation; Digital signal processing; Digital signal processors; Process design; Signal design; Software testing; System-on-a-chip; Design for Testability; Software-based self-test; digital signal processor; processor testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Asian Test Symposium, 2009. ATS '09.
  • Conference_Location
    Taichung
  • ISSN
    1081-7735
  • Print_ISBN
    978-0-7695-3864-8
  • Type

    conf

  • DOI
    10.1109/ATS.2009.30
  • Filename
    5359359