• DocumentCode
    3230001
  • Title

    Statistical prediction modeling for software development process performance

  • Author

    Hao, Yan ; Zhang, Yu-feng

  • Author_Institution
    Comput. Sch., Wuhan Univ., Wuhan, China
  • fYear
    2011
  • fDate
    27-29 May 2011
  • Firstpage
    703
  • Lastpage
    706
  • Abstract
    With the advent of the information age and more intense competitions among IT companies, it is more important to assess the quality of software development processes and products by not only measuring outcomes but also predicting outcomes. On the basis of analysis and experiments about software development processes and products, a study of the process performance modeling has been conducted with statistical analyzing past and current process performance data. In this paper, we present a statistical prediction modeling for Software Development Process Performance. For predicting delivered defects effectively, a simple case study is illustrated, and several suggestions on planning and controlling management brought from this model are analyzed in detail. At the end, the conclusions with a discussion of future research consideration are pointed out in this paper.
  • Keywords
    Capability Maturity Model; software development management; software quality; statistical analysis; software development process quality performance; software product quality; statistical prediction modeling; Analysis of variance; Complexity theory; correlation analysis; process performance model (PPM); regression analysis; statistical prediction modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-61284-485-5
  • Type

    conf

  • DOI
    10.1109/ICCSN.2011.6014187
  • Filename
    6014187