Software defect prediction based on collaborative representation classification

@inproceedings{Jing2014SoftwareDP,
  title={Software defect prediction based on collaborative representation classification},
  author={Xiao-Yuan Jing and Zhiwu Zhang and Shi Ying and Feng Wang and Yang-Ping Zhu},
  booktitle={ICSE Companion},
  year={2014}
}
In recent years, machine learning techniques have been successfully applied into software defect prediction. Although they can yield reasonably good prediction results, there still exists much room for improvement on the aspect of prediction accuracy. Sparse representation is one of the most advanced machine learning techniques. It performs well with respect to signal compression and classification, but suffers from its time-consuming sparse coding. Compared with sparse representation… CONTINUE READING
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