• DocumentCode
    479865
  • Title

    Extending FCD Process to Support COTS Selection

  • Author

    Wang, Bin ; Sheng, Jinfang

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Central South Univ., Changsha
  • Volume
    2
  • fYear
    2008
  • fDate
    12-14 Dec. 2008
  • Firstpage
    139
  • Lastpage
    142
  • Abstract
    In large software system, components depend on each other and should not be evaluated individually. This paper proposes a new process for multiple COTS selection based on extension of a proven system decomposition technique FCD. During the process of decomposition, local requirements are allocated into functional modules as local evaluation criteria for COTS candidates while crosscutting requirements are considered later in global selection. Due to the hierarchical structure of FCD, COTS products with varying granularities are considered. COTS candidates are evaluated through analyzing the gap between COTS features and requirements and fitness score is calculated based on the gap and adjustment cost which are measured by function points. Those COTS products with fitness score higher than a pre-defined threshold keep going into the global selection phase. In global selection, combinations of candidate COTS products for modules are evaluated based on crosscutting requirements.
  • Keywords
    software development management; software packages; COTS selection; FCD; large software system; system decomposition technique; Aggregates; Computer science; Cost function; Guidelines; Information science; Iterative methods; Programming; Software development management; Software engineering; Software systems; COTS evaluation; COTS selection process; COTS-based software development; system decomposition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Software Engineering, 2008 International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-3336-0
  • Type

    conf

  • DOI
    10.1109/CSSE.2008.1153
  • Filename
    4722020