• DocumentCode
    1923957
  • Title

    A Variability Viewpoint for Enterprise Software Systems

  • Author

    Galster, Matthias ; Avgeriou, Paris

  • Author_Institution
    Univ. of Groningen, Groningen, Netherlands
  • fYear
    2012
  • fDate
    20-24 Aug. 2012
  • Firstpage
    267
  • Lastpage
    271
  • Abstract
    Many of today´s enterprise software systems are subject to variability. For example, enterprise software systems often run in different business units of an organization, with each unit having its own detailed requirements. Systematic handling of variability allows a software system to be adjusted for different contexts, by planning for adaptation during architecture design. As variability is system-wide, it is reflected in the software architecture. To facilitate the representation and analysis of variability in the architecture of enterprise software systems, we propose an architecture viewpoint. To define a reusable variability viewpoint, we elicited stakeholders and concerns through exploratory studies. We also show how the viewpoint was applied for describing variability in a large-scale e-government system.
  • Keywords
    formal specification; government data processing; software architecture; adaptation planning; architecture design; architecture viewpoint; enterprise software system; large-scale e-government system; organization business unit requirements; reusable variability viewpoint; software architecture; system-wide variability; systematic variability handling; variability analysis; variability representation; Computer architecture; Electronic government; Software architecture; Software systems; software architecture; variability; viewpoints;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Architecture (WICSA) and European Conference on Software Architecture (ECSA), 2012 Joint Working IEEE/IFIP Conference on
  • Conference_Location
    Helsinki
  • Print_ISBN
    978-1-4673-2809-8
  • Type

    conf

  • DOI
    10.1109/WICSA-ECSA.212.43
  • Filename
    6337733