Towards building a universal defect prediction model with rank transformed predictors

@article{Zhang2015TowardsBA,
  title={Towards building a universal defect prediction model with rank transformed predictors},
  author={Feng Zhang and Audris Mockus and Iman Keivanloo and Ying Zou},
  journal={Empirical Software Engineering},
  year={2015},
  volume={21},
  pages={2107-2145}
}
Software defects can lead to undesired results. Correcting defects costs 50 % to 75 % of the total software development budgets. To predict defective files, a prediction model must be built with predictors (e.g., software metrics) obtained from either a project itself (within-project) or from other projects (cross-project). A universal defect prediction model that is built from a large set of diverse projects would relieve the need to build and tailor prediction models for an individual project… CONTINUE READING
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