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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Song, Q | - |
dc.contributor.author | Guo, Y | - |
dc.contributor.author | Shepperd, M | - |
dc.date.accessioned | 2018-06-11T12:24:58Z | - |
dc.date.available | 2018-05-14 | - |
dc.date.available | 2018-06-11T12:24:58Z | - |
dc.date.issued | 2018-05-18 | - |
dc.identifier.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. | en_US |
dc.identifier.issn | 0098-5589 | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/16318 | - |
dc.description.sponsorship | National Natural Science Foundation of China | en_US |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
dc.rights | © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | - |
dc.subject | software defect prediction | - |
dc.subject | bug prediction | - |
dc.subject | imbalanced learning | - |
dc.subject | imbalance ratio | - |
dc.subject | effect size | - |
dc.title | A Comprehensive Investigation of the Role of Imbalanced Learning for Software Defect Prediction | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.1109/TSE.2018.2836442 | - |
dc.relation.isPartOf | IEEE Transactions on Software Engineering | - |
pubs.publication-status | Published | - |
Appears in Collections: | Dept of Computer Science Research Papers |
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File | Description | Size | Format | |
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FullText.pdf | 1.98 MB | Adobe PDF | View/Open |
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