• DocumentCode
    578377
  • Title

    The risk factor analysis for software project based on the interpretative structural modelling method

  • Author

    Ying Qu ; Yuan, Meng-jia ; Feng Liu

  • Author_Institution
    Sch. of Econ. & Manage., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
  • Volume
    3
  • fYear
    2012
  • fDate
    15-17 July 2012
  • Firstpage
    1019
  • Lastpage
    1024
  • Abstract
    Risk analysis is the basic work of risk management for software project. Due to the complexity and particularity of software project, the risk factors are too messy to be grasped quickly by the personnel. The risk factors for the software project risk management have been identified from the human, technology, and process three angles in the paper. The interpretative structural modeling method is introduced to analyze the recognition results to find the perplexing potential relationship among risk factors. The interpretative structural model for risk factors is constructed. Case study shows that it integrates 26 risk factors into 7 risk elements and outlines the framework of risk analysis. It is not only conducive to the relevant personnel to better understand the complex relationships between risk factors, but also provides a simple and convenient knowledge expression method for modeling the software project risk factor analysis and it also provides methods guidance to similar analysis of relevant fields.
  • Keywords
    project management; risk analysis; software management; interpretative structural modelling method; knowledge expression; risk factor analysis; software project risk management; Abstracts; Analytical models; Lead; Software; Tin; Interpretive structural modeling; Knowledge expression; Risk analysis; Software project;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2012 International Conference on
  • Conference_Location
    Xian
  • ISSN
    2160-133X
  • Print_ISBN
    978-1-4673-1484-8
  • Type

    conf

  • DOI
    10.1109/ICMLC.2012.6359494
  • Filename
    6359494