• DocumentCode
    506405
  • Title

    Assessing combinatorial interaction strategy for reverse engineering of combinational circuits

  • Author

    Younis, Mohammed I. ; Zamli, Kamal Z.

  • Author_Institution
    Sch. of Electr. & Electron., Univ. Sains Malaysia, Nibong Tebal, Malaysia
  • Volume
    1
  • fYear
    2009
  • fDate
    4-6 Oct. 2009
  • Firstpage
    473
  • Lastpage
    478
  • Abstract
    T-way test data generators play an immensely important role for both hardware and software configuration testing. Earlier work concludes that t-way test data generator can achieve 100% coverage without having to regard for more than 6 way interactions. In this paper, we investigate whether or not such a conclusion can be applicable for reverse engineering of combinational circuits. In this case, we reverse engineer a faulty commercial eight segment display controller using our t-way test data generator in order to redesign the replacement unit. We believe that our application of t-way generators for circuit identification is novel. The results demonstrate the need of more than 6 parameter interactions as well as suggest the effectiveness of cumulative test data for reverse engineering applications.
  • Keywords
    circuit analysis computing; combinational circuits; display instrumentation; logic testing; reverse engineering; circuit identification; combinational circuits; combinatorial interaction strategy; display controller; faulty commercial eight segment; reverse engineering; t-way test data generators; Application software; Circuit faults; Circuit testing; Combinational circuits; Electronic equipment testing; Hardware; Industrial electronics; Reverse engineering; Software testing; System testing; Combinational Circuits; Combinatorial Interaction; Configuration Testing; Multi-Way Testing; T-Way Testing; Test Data Generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics & Applications, 2009. ISIEA 2009. IEEE Symposium on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-4681-0
  • Electronic_ISBN
    978-1-4244-4683-4
  • Type

    conf

  • DOI
    10.1109/ISIEA.2009.5356419
  • Filename
    5356419