A Case Study Validation of an Extreme Programming Bayesian Network Model
نویسندگان
چکیده
Bayesian networks have the ability to combine sparse data, prior assumptions and expert judgment into a single causal model. We present such a model of an Extreme Programming environment and show how it can learn from project data in order to make quantitative effort predictions and risk assessments. This is illustrated with the use of a real world industrial project.
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