Researcher Bias: The Use of Machine Learning in Software Defect Prediction

@article{Shepperd2014ResearcherBT,
  title={Researcher Bias: The Use of Machine Learning in Software Defect Prediction},
  author={Martin J. Shepperd and David Bowes and Tracy Hall},
  journal={IEEE Transactions on Software Engineering},
  year={2014},
  volume={40},
  pages={603-616}
}
Background. The ability to predict defect-prone software components would be valuable. Consequently, there have been many empirical studies to evaluate the performance of different techniques endeavouring to accomplish this effectively. However no one technique dominates and so designing a reliable defect prediction model remains problematic. Objective. We seek to make sense of the many conflicting experimental results and understand which factors have the largest effect on predictive… CONTINUE READING
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