Heterogeneous cross-company defect prediction by unified metric representation and CCA-based transfer learning

@inproceedings{Jing2015HeterogeneousCD,
  title={Heterogeneous cross-company defect prediction by unified metric representation and CCA-based transfer learning},
  author={Xiao-Yuan Jing and Fei Wu and Xiwei Dong and Fumin Qi and Baowen Xu},
  booktitle={ESEC/SIGSOFT FSE},
  year={2015}
}
Cross-company defect prediction (CCDP) learns a prediction model by using training data from one or multiple projects of a source company and then applies the model to the target company data. Existing CCDP methods are based on the assumption that the data of source and target companies should have the same software metrics. However, for CCDP, the source and target company data is usually heterogeneous, namely the metrics used and the size of metric set are different in the data of two… CONTINUE READING
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