• DocumentCode
    3237536
  • Title

    Software Fault Diagnosing System Based on Multi-agent

  • Author

    Guoshun Chen ; Gefang Wang

  • Author_Institution
    Inst. of Ordnance Technol., Shijiazhuang, China
  • fYear
    2012
  • fDate
    6-8 Nov. 2012
  • Firstpage
    327
  • Lastpage
    329
  • Abstract
    Software faults are the underlying and important roots which result in the mistake, failure and even breakdown of system. So software Fault Diagnosis and the Spectrum-based Fault Localization (SFL) is very significant to software quality assurance. The current fault diagnosis technique based on the artificial intelligence and Multi-Agent attracts more and more attention. Multi-Agent System (MAS) have autonomy, intelligence and social ability, which is well-suited for Fault Diagnosis, and which can easily be used in software testing schemes of software intensive equipment. This paper gives a Fault Diagnosis system based on MAS and the proposed system is applied to real software Fault Diagnosis to validate its effectiveness.
  • Keywords
    fault diagnosis; multi-agent systems; program diagnostics; software quality; MAS; multi-agent system; software fault diagnosing system; software quality assurance; spectrum-based fault localization; FAA; Fault diagnosis; Multiagent systems; Probes; Software; Syntactics; Fault Localization; Multi-Agent System (MAS); Software Fault Diagnosis; Software Intensive Equipment; Spectrum-based Fault Localization (SFL);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems (GCIS), 2012 Third Global Congress on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4673-3072-5
  • Type

    conf

  • DOI
    10.1109/GCIS.2012.41
  • Filename
    6449546