• DocumentCode
    1687400
  • Title

    Fault tree models for the analysis of complex computer-based systems

  • Author

    Pullum, Laura L. ; Dugan, Joanne Bechta

  • Author_Institution
    Quality Res. Assoc. Inc., Dacula, GA, USA
  • fYear
    1996
  • Firstpage
    200
  • Lastpage
    207
  • Abstract
    In this paper we present a synthesis of several techniques into a single methodology that can solve both dynamic and static fault trees, and which is applicable to the analysis of hardware, software and humanware in complex computer-based systems. The methodology combines those techniques into a unified fault tree methodology which we call SHADE Tree. SHADE Tree provides a high-level decomposition of the system fault tree model into the static and dynamic fault trees. Static fault trees, which contain only traditional fault tree gates (i.e. AND, OR, R-of-N, etc.) are solved using the binary decision diagram approach. Dynamic fault trees, which contain at least one special dynamic gate as well as traditional fault tree gates, are solved using Markov methods
  • Keywords
    Markov processes; fault tolerant computing; fault trees; reliability; software fault tolerance; Markov methods; SHADE Tree; binary decision diagram approach; computer-based systems; dependability analysis; dynamic fault trees; fault tolerant computer systems; fault tree models; hardware analysis; humanware analysis; software analysis; static fault trees; Binary decision diagrams; Boolean functions; Data structures; Failure analysis; Fault tolerance; Fault tolerant systems; Fault trees; Hardware; Redundancy; Software quality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability and Maintainability Symposium, 1996 Proceedings. International Symposium on Product Quality and Integrity., Annual
  • Conference_Location
    Las Vegas, NV
  • ISSN
    0149-144X
  • Print_ISBN
    0-7803-3112-5
  • Type

    conf

  • DOI
    10.1109/RAMS.1996.500663
  • Filename
    500663