• DocumentCode
    2208329
  • Title

    Automatic Generation of On-Line Test Programs through a Cooperation Scheme

  • Author

    Ciganda, Lyl Mercedes ; Gaudesi, M. ; Lutton, E. ; Sanchez, E. ; Squillero, G. ; Tonda, A.

  • Author_Institution
    Politec. di Torino - Italy, Turin, Italy
  • fYear
    2012
  • fDate
    10-13 Dec. 2012
  • Firstpage
    13
  • Lastpage
    18
  • Abstract
    Test programs for Software-based Self-Test (SBST) can be exploited during the mission phase of microprocessor-based systems to periodically assess hardware integrity. However, several additional constraints must be imposed due to the coexistence of test programs with the mission application. This paper proposes a method for the generation of SBST on-line test programs for embedded RISC processors, systems where the impact of on-line constraints is significant. The proposed strategy exploits an evolutionary optimizer that is able to create a complete test set of programs relying on a new cooperative scheme. Experimental results showed high fault coverage values on two different modules of a MIPS-like processor core. These two case studies demonstrate the effectiveness of the technique and the low human effort required for its implementation.
  • Keywords
    automatic test software; embedded systems; multiprocessing systems; optimising compilers; program testing; reduced instruction set computing; MIPS-like processor core; SBST; automatic online test program generation; cooperation scheme; embedded RISC processors; fault coverage values; hardware integrity; microprocessor-based system mission phase; online constraints; optimizer; software-based self-test; Group Evolution; SoC; on-line testing; pipelined processors; software-based self-test;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microprocessor Test and Verification (MTV), 2012 13th International Workshop on
  • Conference_Location
    Austin, TX
  • ISSN
    1550-4093
  • Print_ISBN
    978-1-4673-4441-8
  • Type

    conf

  • DOI
    10.1109/MTV.2012.17
  • Filename
    6519728