• DocumentCode
    1736487
  • Title

    Using a novel approach to cluster analysis to gain new valuable insights into software-project risk management

  • Author

    Alencar, Antonio Juarez ; Cruz, Leôncio Teixeira ; Schmitz, Eber Assis ; Ferreira, Armando Leite

  • Author_Institution
    Inst. of Math. & Electron. Comput. Center, Center Fed. Univ. of Rio de Janeiro, Rio de Janeiro
  • fYear
    2008
  • Firstpage
    51
  • Lastpage
    60
  • Abstract
    This work presents a method that provides organizations and their project managers with a better understanding of the implications of the risks that software projects are subjected to. The method, which is based upon a novel approach to cluster analysis, generates a set of business rules indicating how risk factors may influence project performance. These rules are easy to read and understand, making it easier for managers to identify what needs to be done and when it needs to be done, before the worst happens.
  • Keywords
    pattern clustering; project management; risk management; software management; statistical analysis; cluster analysis; risk management; software project; Europe; Financial management; Informatics; Information technology; Mathematics; Performance analysis; Productivity; Project management; Risk analysis; Risk management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business-driven IT Management, 2008. BDIM 2008. 3rd IEEE/IFIP International Workshop on
  • Conference_Location
    Salvador
  • Print_ISBN
    978-1-4244-2191-6
  • Type

    conf

  • DOI
    10.1109/BDIM.2008.4540074
  • Filename
    4540074