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A new model of software project risk management is presented, which uses the Bayesian networks to infer the probability of risk occurrence and the impact of risk simultaneously. The model can assess risks continuously and take proper measures to respond to risks during software project. Practice proves that by introducing this model into software development process, project risks can be well-managed and project success rate can be improved.
Date of Conference: 7-9 May 2010