Brunel University Research Archive(BURA) preserves and enables easy and open access to all
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Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/16318| Title: | A Comprehensive Investigation of the Role of Imbalanced Learning for Software Defect Prediction |
| Authors: | Song, Q Guo, Y Shepperd, M |
| Keywords: | software defect prediction;bug prediction;imbalanced learning;imbalance ratio;effect size |
| Issue Date: | 18-May-2018 |
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
| Citation: | Song, Q., Guo, Y. and Shepperd, M. (2018) 'A Comprehensive Investigation of the Role of Imbalanced Learning for Software Defect Prediction', IEEE Transactions on Software Engineering, 45(12): 1253-1269. doi: 10.1109/TSE.2018.2836442. |
| URI: | https://bura.brunel.ac.uk/handle/2438/16318 |
| DOI: | https://doi.org/10.1109/TSE.2018.2836442 |
| ISSN: | 0098-5589 |
| Appears in Collections: | Dept of Computer Science Research Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | 1.98 MB | Adobe PDF | View/Open |
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