On the dataset shift problem in software engineering prediction models

@article{Turhan2011OnTD,
  title={On the dataset shift problem in software engineering prediction models},
  author={Burak Turhan},
  journal={Empirical Software Engineering},
  year={2011},
  volume={17},
  pages={62-74}
}
A core assumption of any prediction model is that test data distribution does not differ from training data distribution. Prediction models used in software engineering are no exception. In reality, this assumption can be violated in many ways resulting in inconsistent and non-transferrable observations across different cases. The goal of this paper is to explain the phenomena of conclusion instability through the dataset shift concept from software effort and fault prediction perspective… CONTINUE READING
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