BBN-based software project risk management

  • Authors:
  • Chin-Feng Fan;Yuan-Chang Yu

  • Affiliations:
  • Computer Science and Engineering Department, Yuan-Ze University, 135 Far East Road, Chung-Li 320, Taiwan;Nuclear Instrumentation Division, Institute of Nuclear Energy Research, Long-Tang, Taiwan

  • Venue:
  • Journal of Systems and Software - Special issue: Applications of statistics in software engineering
  • Year:
  • 2004

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Abstract

This paper presents a scheme to incorporate BBNs (Bayesian belief networks) in software project risk management. A theoretical model is defined to provide insights into risk management. Based on these insights, we have developed a BBN-based procedure using a feedback loop to predict potential risks, identify sources of risks, and advise dynamic resource adjustment. This approach facilitates the visibility and repeatability of the decision-making process of risk management. Both analytical and simulated cases are reported.