• DocumentCode
    3223677
  • Title

    Semi-quantitative Modeling for Managing Software Development Processes

  • Author

    Zhang, He ; Keung, Jacky ; Kitchenham, Barbara ; Jeffery, Ross

  • Author_Institution
    Univ. of New South Wales, Kensington
  • fYear
    2008
  • fDate
    26-28 March 2008
  • Firstpage
    66
  • Lastpage
    75
  • Abstract
    Software process modeling has become an essential technique for managing software development processes. However, purely quantitative process modeling requires a detailed understanding and accurate measurement of software process, which relies on reliable and precise history data. This paper presents a semi-quantitative process modeling approach to model and manage software development processes. It allows for the existence of uncertainty and contingency during software development, and facilitates a manager´s qualitative and quantitative estimates and assessments of process progress. We demonstrate its value and flexibility by developing semi-quantitative models of the test-and-fix process of incremental software development. Results conclude that the semi-quantitative process modeling approach can support process or project management activities, including estimating, planning, tracking and decision making throughout the software development cycle.
  • Keywords
    software development management; incremental software development; semiquantitative modeling; software development management; software process modeling; Contingency management; Decision making; History; Process planning; Programming; Project management; Quality management; Software development management; Software measurement; Software testing; incremental development; semi-quantitative modeling; software process management; software process simulation; test-and-fix process;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, 2008. ASWEC 2008. 19th Australian Conference on
  • Conference_Location
    Perth, WA
  • ISSN
    1530-0803
  • Print_ISBN
    978-0-7695-3100-7
  • Type

    conf

  • DOI
    10.1109/ASWEC.2008.4483194
  • Filename
    4483194