• DocumentCode
    1581206
  • Title

    Processor Functional Test Generation - Some Results with Using of Genetic Algorithms

  • Author

    Hudec, Ján

  • Author_Institution
    Fac. of Inf. & Inf. Technol., Slovak Univ. of Technol., Bratislava, Slovakia
  • fYear
    2011
  • Firstpage
    159
  • Lastpage
    160
  • Abstract
    This contribution presents some results in the design and implementation of an universal functional test generator for VLSI circuits, such as microprocessor and processor cores. Our approach to test generation - the functional test generation method - is based on knowledges of instruction set architecture (ISA), functional description of VLSI systems at functional VHDL level and promising concept of software-based self test (SBST), for better test generation the genetic algorithm (GA) properties based on evolutionary strategiesw are used. The algorithm for automatic generation of test (normal executable test sequence of instructions) and arrangement, is used in very flexible and effective tool - Automatic Functional Test Generator (AFTG). The determination of the test efficiency of instruction testing mixes is discussed.
  • Keywords
    VLSI; automatic test pattern generation; automatic test software; electronic engineering computing; genetic algorithms; VHDL; VLSI circuits; automatic functional test generator; genetic algorithms; instruction set architecture; microprocessor; processor cores; processor functional test generation; software-based self test; universal functional test generator; Circuit faults; Feedback loop; Generators; Genetic algorithms; Microprocessors; Testing; Very large scale integration; VLSI functional testing; processor functional test generation; test simulation and verification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering of Computer Based Systems (ECBS-EERC), 2011 2nd Eastern European Regional Conference on the
  • Conference_Location
    Bratislava
  • Print_ISBN
    978-1-4577-0683-7
  • Electronic_ISBN
    978-0-7695-4418-2
  • Type

    conf

  • DOI
    10.1109/ECBS-EERC.2011.37
  • Filename
    6037534