• DocumentCode
    2230001
  • Title

    Correlation analysis between maturity factors and performance indexes in software project

  • Author

    Lu, Xiangnan ; Shu, Lang ; Li, Jie

  • Author_Institution
    Sch. of Manage., Zhejiang Univ., Hangzhou, China
  • fYear
    2008
  • fDate
    8-11 Dec. 2008
  • Firstpage
    1793
  • Lastpage
    1797
  • Abstract
    Software development inclined to production of scale, criterion and industrialization, with the development of information technology and software industry. Different kinds of Project Maturity Models for enhancing performances of software development were broadly exploited and used factually. Based on literature review and enterprise research this paper put forward 30 main factors which cover in three aspects of technology, organization and personnel. At the same time, the author classified the software development performance estimation indexes into five geniuses: quality, satisfaction, knowledge, control, and efficiency index. Recurring to large-scale questionnaire research, the author also applied SPSS statistic instrument consisted of gene analysis, correlation analysis and regression analysis to analyze the relationship between maturity factors and performance indexes. The results indicated that close connections between the project performance and different maturity factors affected the project performance to a certain extent.
  • Keywords
    regression analysis; software performance evaluation; SPSS statistic instrument; correlation analysis; gene analysis; maturity factors; performance estimation indexes; regression analysis; software development; software project; Computer industry; Information technology; Instruments; Large-scale systems; Performance analysis; Personnel; Production; Programming; Software performance; Statistical analysis; maturity; project performance indexes; software project;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2008. IEEM 2008. IEEE International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-2629-4
  • Electronic_ISBN
    978-1-4244-2630-0
  • Type

    conf

  • DOI
    10.1109/IEEM.2008.4738181
  • Filename
    4738181