• DocumentCode
    659279
  • Title

    A reliability prediction model for complex systems using data flow dependency

  • Author

    Majumdar, Deyasini ; Mallick, Shankhanaad

  • Author_Institution
    RCC Inst. of Inf. Technol., Kolkata, India
  • fYear
    2013
  • fDate
    13-14 Sept. 2013
  • Firstpage
    144
  • Lastpage
    148
  • Abstract
    Research on software reliability prediction is of great practical importance. Failure characteristic of large and complex software depends on the operations of individual components and their architecture. Complexity of the components as well as their dependency provides a greater impact on overall reliability of the software. Reliability prediction in the early stage of component based software requires the knowledge of interconnection between the components as well as propagation of errors between the components. In this paper we propose a reliability prediction model which not only considers the control flow of the component it also considers data sharing between the components and their deployment details. We propose a new graphical structure Data Flow Dependency Graph to estimate the effective reliability of the data processed by the components and then use the operational profile to predict the reliability.
  • Keywords
    data flow graphs; data structures; object-oriented programming; software architecture; software fault tolerance; system recovery; complex systems; component based software; component complexity; component control flow; data flow dependency graph; data sharing; error propagation; failure characteristic; graphical structure; interconnection knowledge; software architecture; software reliability prediction model; Data models; Predictive models; Software architecture; Software reliability; Software systems; Software reliability; based software; software architecture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Trends and Applications in Computer Science (ICETACS), 2013 1st International Conference on
  • Conference_Location
    Shillong
  • Print_ISBN
    978-1-4673-5249-9
  • Type

    conf

  • DOI
    10.1109/ICETACS.2013.6691412
  • Filename
    6691412