A transfer cost-sensitive boosting approach for cross-project defect prediction

@article{Ryu2015ATC,
  title={A transfer cost-sensitive boosting approach for cross-project defect prediction},
  author={Duksan Ryu and Jong-In Jang and Jongmoon Baik},
  journal={Software Quality Journal},
  year={2015},
  volume={25},
  pages={235-272}
}
Software defect prediction has been regarded as one of the crucial tasks to improve software quality by effectively allocating valuable resources to fault-prone modules. It is necessary to have a sufficient set of historical data for building a predictor. Without a set of sufficient historical data within a company, cross-project defect prediction (CPDP) can be employed where data from other companies are used to build predictors. In such cases, a transfer learning technique, which extracts… CONTINUE READING

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