• DocumentCode
    2700167
  • Title

    A kind of software fault diagnosing framework based on Multi-Agent

  • Author

    Chen, Guoshun ; Ma, Sasa ; Xia, Mingfei

  • Author_Institution
    Inst. of Ordnance Technol., Shijiazhuang, China
  • fYear
    2012
  • fDate
    15-18 June 2012
  • Firstpage
    760
  • Lastpage
    762
  • Abstract
    One of the most expensive and time-consuming activities of the software is locating the fault. Therefore, the software fault diagnosis technology and the Spectrum-based Fault Localization (SFL) is very significant to software quality assurance. Recently, the fault diagnosis technology based on the artificial intelligence theory attracts more and more attention. Multi-Agent Systems (MAS) have autonomy, intelligence and social ability, which is well-suited for diagnosing software systems, and which can easily be integrated with existing software testing schemes of software intensive equipment. In this paper, a kind of 4-layer Framework based on MAS for fault diagnosis is innovative presented. The proposed Framework is applied to real software diagnosis to validate its effectiveness.
  • Keywords
    fault diagnosis; multi-agent systems; program testing; quality assurance; software fault tolerance; software quality; 4-layer framework; MAS; SFL; artificial intelligence theory; multiagent systems; software fault diagnosing framework; software fault diagnosis technology; software intensive equipment; software quality assurance; software testing schemes; spectrum-based fault localization; FAA; Fault diagnosis; Multiagent systems; Probes; Software; Syntactics; multi-agent systems (MAS); software fault localization; software intensive equipment; spectrum-based fault localization (SFL);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2012 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4673-0786-4
  • Type

    conf

  • DOI
    10.1109/ICQR2MSE.2012.6246340
  • Filename
    6246340