• DocumentCode
    2791383
  • Title

    Identifying and Addressing Uncertainty in Architecture-Level Software Reliability Modeling

  • Author

    Cheung, Leslie ; Golubchik, Leana ; Medvidovic, Nenad ; Sukhatme, Gaurav

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Southern California, Los Angeles, CA
  • fYear
    2007
  • fDate
    26-30 March 2007
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Assessing reliability at early stages of software development, such as at the level of software architecture, is desirable and can provide a cost-effective way of improving a software system´s quality. However, predicting a component´s reliability at the architectural level is challenging because of uncertainties associated with the system and its individual components due to the lack of information. This paper discusses representative uncertainties which we have identified at the level of a system´s components, and illustrates how to represent them in our reliability modeling framework. Our preliminary evaluation indicates promising results in our framework´s ability to handle such uncertainties.
  • Keywords
    software architecture; software quality; software reliability; uncertain systems; components reliability; software architecture; software development; software reliability modeling; software systems quality; Computer architecture; Hidden Markov models; Information resources; Predictive models; Programming; Software architecture; Software quality; Software reliability; Software systems; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing Symposium, 2007. IPDPS 2007. IEEE International
  • Conference_Location
    Long Beach, CA
  • Print_ISBN
    1-4244-0910-1
  • Electronic_ISBN
    1-4244-0910-1
  • Type

    conf

  • DOI
    10.1109/IPDPS.2007.370524
  • Filename
    4228252