• DocumentCode
    2189291
  • Title

    Quantitative Analysis of Best Practices Models in the Software Domain

  • Author

    Ferreira, Andre L. ; Machado, Ricardo J. ; Paulk, Mark C.

  • Author_Institution
    Dept. de Sist. de Informacao, Univ. do Minho, Guimarães, Portugal
  • fYear
    2010
  • fDate
    Nov. 30 2010-Dec. 3 2010
  • Firstpage
    433
  • Lastpage
    442
  • Abstract
    Organizations are adopting multiple best practices models to improve overall performance. Their objective is to capture the cumulative added value of each model into one single environment. These multimodel environments raise several challenges, selection and composition of models are not straightforward tasks. This paper proposes an approach to help address these challenges by comparing models at a quantitative level. We propose a characterization of size of a model as a measure of scope coverage and detail of descriptions when compared to a reference model and model complexity in terms of architectural structural connectedness. An example of applying the proposed approach is described in an Industrial context where a multimodel process solution was evolved from CMMI-Dev level 3 to level 5.
  • Keywords
    software architecture; best software practice model; multimodel process solution; software architectural structural connectedness; Multimodel improvement taxonomies; Software Engineering Management; Software Process Improvement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering Conference (APSEC), 2010 17th Asia Pacific
  • Conference_Location
    Sydney, NSW
  • ISSN
    1530-1362
  • Print_ISBN
    978-1-4244-8831-5
  • Electronic_ISBN
    1530-1362
  • Type

    conf

  • DOI
    10.1109/APSEC.2010.56
  • Filename
    5693220