• DocumentCode
    596204
  • Title

    A Stochastic Simulation Model for Risk Management Process

  • Author

    Peng Zhou ; Leung, Hareton K. N.

  • Author_Institution
    Dept. of Comput., Hong Kong Polytech. Univ., Hong Kong, China
  • Volume
    1
  • fYear
    2012
  • fDate
    4-7 Dec. 2012
  • Firstpage
    737
  • Lastpage
    742
  • Abstract
    Risk management is widely accepted as a routine activity in software project management. A simulation model for risk management process can facilitate practitioners in risk management in many aspects, such as understanding of risk management process, predicting risk management outcome, and making informed risk management decision. However the modeling and simulation for software project risk management process is quite limited. In this paper, we propose a stochastic simulation model with due consideration of time element which has not been explicitly modeled. Based on that, a simulator is built for practical use. We also validate our simulation model.
  • Keywords
    project management; risk management; simulation; software management; stochastic processes; risk management process; software project management; stochastic simulation model; Computational modeling; Object recognition; Planning; Predictive models; Risk management; Software; Stochastic processes; risk management proccess; simulation model; stochastic simulation; time element;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering Conference (APSEC), 2012 19th Asia-Pacific
  • Conference_Location
    Hong Kong
  • ISSN
    1530-1362
  • Print_ISBN
    978-1-4673-4930-7
  • Type

    conf

  • DOI
    10.1109/APSEC.2012.12
  • Filename
    6462738