Predicting project delivery rates using the Naive-Bayes classifier

  title={Predicting project delivery rates using the Naive-Bayes classifier},
  author={B. Stewart},
  journal={Journal of Software Maintenance},
The importance of accurate estimation of software development effort is well recognized in software engineering. In recent years, machine learning approaches have been studied as possible alternatives to more traditional software cost estimation methods. The objective of this paper is to investigate the utility of the machine learning algorithm known as the Naive–Bayes classifier for estimating software project effort. We present empirical experiments with the Benchmark 6 data set from the… CONTINUE READING
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