Software defect prediction: do different classifiers find the same defects?
- Submitting institution
-
University of Hertfordshire
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 13599941
- Type
- D - Journal article
- DOI
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10.1007/s11219-016-9353-3
- Title of journal
- Software Quality Journal
- Article number
- n/a
- First page
- 525
- Volume
- 26
- Issue
- -
- ISSN
- 0963-9314
- Open access status
- Compliant
- Month of publication
- February
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
-
- Citation count
- 24
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Journal version of best paper in conference. Identifies the stability of defect prediction results and the fact that different classifiers find different defects. It is the basis for a EPSRC grant (£240k) on software defect prediction to Bowes and Hall who have since taken up a senior lectureship and professorship at Lancaster University, where the work is being continued.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -