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A Probabilistic Model for Predicting Software Development Effort
[chapter]
2003
Lecture Notes in Computer Science
Recently, Bayesian probabilistic models have been used for predicting software development effort. One of the reasons for the interest in the use of Bayesian probabilistic models, when compared to traditional point forecast estimation models, is that Bayesian models provide tools for risk estimation and allow decision-makers to combine historical data with subjective expert estimates. In this paper, we use a Bayesian network model and illustrate how a belief updating procedure can be used to
doi:10.1007/3-540-44843-8_63
fatcat:2hpoioqxxbdcbebeb5et5py2sa