• DocumentCode
    2609719
  • Title

    Dynamic Event/Fault Tree Analysis of Multi-agent Systems Using Galileo

  • Author

    Dehlinger, Josh ; Dugan, Joanne Bechta

  • Author_Institution
    Charles L. Brown Dept. of Electr. & Comput. Eng., Virginia Univ., Charlottesville, VA
  • fYear
    2008
  • fDate
    12-13 Aug. 2008
  • Firstpage
    429
  • Lastpage
    434
  • Abstract
    Agent-oriented software engineering (AOSE) has the potential to revolutionize critical software systems by employing autonomy, adaptability, and robustness mechanisms advantageous to essential infrastructure. Yet, requisite with critical software is the need for dependability techniques to provide high assurance that the multi-agent system (MAS) will function as intended. In this paper we investigate how dynamic event/fault trees (DEFT) can be utilized for AOSE as a mechanism to analyze and reason about agent behavior and failures. Specifically, we: (1) adapt DEFT for MAS to identify and analyze necessary safety responsibilities; (2) show how the use of Galileo, the tool for DEFT probabilistic risk assessment, assists in developing a more robust MAS; and, (3) identify necessary AOSE-specific enhancements for DEFT needed to better support the dependability analysis of MAS. We illustrate this work through an application to a proposed NASA agent-based satellite swarm.
  • Keywords
    fault trees; multi-agent systems; risk management; software engineering; AOSE; DEFT; Galileo; MAS; NASA agent-based satellite swarm; agent-oriented software engineering; critical software systems; dynamic event/fault tree analysis; multi agent systems; probabilistic risk assessment; Failure analysis; Fault trees; Multiagent systems; NASA; Risk analysis; Risk management; Robustness; Safety; Software engineering; Software systems; agent-oriented software engineering; dependability engineering; dynamic fault trees; multi-agent systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Quality Software, 2008. QSIC '08. The Eighth International Conference on
  • Conference_Location
    Oxford
  • ISSN
    1550-6002
  • Print_ISBN
    978-0-7695-3312-4
  • Type

    conf

  • DOI
    10.1109/QSIC.2008.14
  • Filename
    4601573