对模型中每个上下文的预测概率从频率数计算，进行自适应更新。
Prediction probabilities for each context in the model are calculated from frequency counts, which are updated adaptively.
一个参数概率模型用于得到SBM谱密度，一个贝叶斯框架用于统计更新到本地记录。
A parametric probabilistic model is sought for the SBM spectral densities, and a Bayesian framework is used to statistically update it to local records.
随着软件项目的进行，该风险管理模型能够利用不断更新的项目数据持续地预测潜在风险，确定风险源并采取适当的应对措施降低风险发生概率。
Using new project data obtained from the process of software development, it can continually predict risks, identify sources of risks, and take proper measure to reduce risk occurrence probability.
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