• DocumentCode
    2569790
  • Title

    Modeling and simulation for system reliability analysis: The RAMSAS method

  • Author

    Garro, Alfredo ; Tundis, Andrea

  • Author_Institution
    Dept. of Electron., Comput. & Syst. Sci. (DEIS), Univ. of Calabria, Rende, Italy
  • fYear
    2012
  • fDate
    16-19 July 2012
  • Firstpage
    155
  • Lastpage
    160
  • Abstract
    The paper presents the up-to-date version of RAMSAS, a recently proposed model-based method for the reliability analysis of systems through simulation. RAMSAS can be easy plugged in various phases of a typical system development process ranging from the design to the testing phases so to complement other well-known and wide adopted techniques for system reliability analysis (e. g. FMECA, FTA, RBD) by providing additional analysis capabilities. The present version of RAMSAS is the result of an intensive experimentation phase in several application domains (avionics, automotive, satellite) which allowed improving the effectiveness of the method especially in the modeling of both the intended and dysfunctional system behavior. The paper concludes with a discussion about the specific aspects of the reliability analysis of System of Systems (SoS), and how RAMSAS can be further extended to effectively support it.
  • Keywords
    software reliability; systems analysis; RAMSAS method; SoS; dysfunctional system behavior; intensive experimentation phase; model-based method; system development process; system of systems; system reliability analysis; testing phases; up-to-date version; Analytical models; Computational modeling; Reliability engineering; Software packages; Unified modeling language; Failure Modeling; Model-Based Systems Engineering; Simulation; System Reliability Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System of Systems Engineering (SoSE), 2012 7th International Conference on
  • Conference_Location
    Genoa
  • Print_ISBN
    978-1-4673-2974-3
  • Type

    conf

  • DOI
    10.1109/SYSoSE.2012.6384175
  • Filename
    6384175