• DocumentCode
    310497
  • Title

    Quantitative analysis of compatibility and correlation of the current SPA/SPI models

  • Author

    Wang, Y. ; Court, I. ; Ross, M. ; Staples, G. ; King, G. ; Dorling, A.

  • Author_Institution
    Res. Center for Syst. Eng., Southampton Inst., UK
  • fYear
    1997
  • fDate
    1-6 Jun 1997
  • Firstpage
    36
  • Lastpage
    55
  • Abstract
    It is a fundamental requirement to quantitatively analyze the compatibility and correlation between the current models for software process assessment (SPA) and improvement (SPI). The compatibility and correlation of SPA/SPI models (e.g., SPICE, CMM, ISO 9000, BOOTSTRAP and SPRM) are formally and quantitatively analyzed and contrasted in this paper. First, formal definitions of the compatibility and correlation between the models are introduced. Then the relational properties are mutually analyzed from every view point of each of the five models to the others. The objective analysis results provided are useful not only for theoretical research in software engineering, but also for practitioners in the software industry
  • Keywords
    ISO standards; software engineering; software standards; BOOTSTRAP; CMM; ISO 9000; SPA model; SPI model; SPICE; SPRM; model compatibility; model correlation; quantitative analysis; software engineering; software industry; software process assessment; software process improvement; software standards; theoretical research; Computer industry; Coordinate measuring machines; In vitro fertilization; Industrial relations; Quality management; SPICE; Software engineering; Software standards; Statistical analysis; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering Standards Symposium and Forum, 1997. Emerging International Standards. ISESS 97., Third IEEE International
  • Conference_Location
    Walnut Creek, CA
  • ISSN
    1082-3670
  • Print_ISBN
    0-8186-7837-2
  • Type

    conf

  • DOI
    10.1109/SESS.1997.595564
  • Filename
    595564