Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
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| Issue Date | Title | Author(s) |
|---|---|---|
| 2019 | The Prevalence of Errors in Machine Learning Experiments | Shepperd, M; Guo, Y; Li, N; Arzoky, M; Capiluppi, A; Counsell, S; Destefanis, G; Swift, S; Tucker, A; Yousefi, L |
| 16-Apr-2019 | “Bad Smells” in Software Analytics Papers | Menzies, T; Shepperd, M |
| 18-May-2018 | A Comprehensive Investigation of the Role of Imbalanced Learning for Software Defect Prediction | Song, Q; Guo, Y; Shepperd, M |
| 20-Jul-2019 | A novel aggregation-based dominance for Pareto-based evolutionary algorithms to configure software product lines | Xue, Y; Li, M; Shepperd, M; Lauria, S; Liu, X |
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