• DocumentCode
    2127661
  • Title

    Research on Fuzzy-Grey Comprehensive Evaluation of Software Process Modeling Methods

  • Author

    Zhang, Bing ; Zhang, Rubo

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Harbin Eng. Univ., Harbin
  • fYear
    2008
  • fDate
    21-22 Dec. 2008
  • Firstpage
    754
  • Lastpage
    758
  • Abstract
    Large numbers of practices show that software process modeling technique can be effectively used to describe and analyze software process and offer opportunity to discover process improvements. There are many kinds of software process modeling method, so it is significant to make reasonable evaluation of software process modeling methods which can help developers choose the most appropriate modeling method according to specific modeling environment and requirement for achieving the best modeling effect. On the basis of evaluation system of software process modeling methods, comprehensive evaluation method which combines fuzzy evaluation and grey theory is applied to evaluate some modeling methods. It can make full use of fuzziness and grayness of evaluation information by experts which makes the evaluation more objective and accurate. Further, it is proved that the method can estimate modeling methods soundly and have feasibility and engineering value to software development project practice by an example.
  • Keywords
    fuzzy set theory; grey systems; software performance evaluation; software process improvement; evaluation system; fuzzy evaluation; fuzzy-grey comprehensive evaluation; grey theory; software development; software process modeling; Acoustical engineering; Computer science; Educational institutions; Fuzzy systems; Knowledge acquisition; Knowledge engineering; Predictive models; Programming; Software quality; Software systems; fuzzy evaluation; grey theory; modeling methods; software process;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Acquisition and Modeling, 2008. KAM '08. International Symposium on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3488-6
  • Type

    conf

  • DOI
    10.1109/KAM.2008.139
  • Filename
    4732929