Improving Credibility of Machine Learner Models in Software Engineering

@inproceedings{Boetticher2007ImprovingCO,
  title={Improving Credibility of Machine Learner Models in Software Engineering},
  author={Gary D. Boetticher},
  year={2007}
}
Given a choice, software project managers frequently prefer traditional methods of making decisions rather than relying on empirical software engineering (empirical/machine learning-based models). One reason for this choice is the perceived lack of credibility associated with these models. To promote better empirical software engineering, a series of experiments are conducted on various NASA datasets to demonstrate the importance of assessing the ease/difficulty of a modeling situation. Each… CONTINUE READING

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