• DocumentCode
    503862
  • Title

    Research on the Radar Intelligent BIT Testability Maturity Based on Multi-agent Software Engineering Algorithm

  • Author

    Jia, Xue ; Sasa, Ma ; Zhizhou, Lu

  • Author_Institution
    Opt. & Electron. Eng. Dept., Ordnance Eng. Coll., Shijiazhuang, China
  • Volume
    3
  • fYear
    2009
  • fDate
    19-21 May 2009
  • Firstpage
    256
  • Lastpage
    259
  • Abstract
    Because the expense is quite high if we want to increase the radar intelligent BIT testability through hardware maintenance approaches. In this paper, for the first time we adopt the software engineering thinking-structural method to model radar intelligent BIT software. In the end, we present an intelligent BIT software modeling based on Multi-Agent. In this way, the intelligent BIT software maintenance becomes possible. The modification or improvement of intelligent BIT software can be easy and effective. So that the intelligent BIT testability maturity can be accelerated as the diagnosis capability will be enhanced and the false alarm rate will be decreased.
  • Keywords
    built-in self test; military computing; military equipment; military radar; multi-agent systems; program diagnostics; program testing; radar computing; software maintenance; diagnosis capability; false alarm rate; hardware maintenance approach; intelligent BIT software maintenance; multiagent software engineering algorithm; radar intelligent BIT testability maturity; thinking-structural method; weapon equipment testability; Costs; Electronic equipment testing; Hardware; Intelligent structures; Radar; Software algorithms; Software engineering; Software maintenance; Software testing; System testing; Intelligent BIT; Multi-Agent; multisignal modeling; testability maturity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, 2009. WCSE '09. WRI World Congress on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-0-7695-3570-8
  • Type

    conf

  • DOI
    10.1109/WCSE.2009.298
  • Filename
    5319405