11 citations · 12 across the 2 of their papers we have counts for
3 papers
cs.SE2024★ 1 cited
Improving classifier-based effort-aware software defect prediction by reducing ranking errors
Yuchen Guo, Martin Shepperd, Ning Li
Context: Software defect prediction utilizes historical data to direct software quality assurance resources to potentially problematic components. Effort-aware (EA) defect predicti…
cs.LG2019
The Prevalence of Errors in Machine Learning Experiments
Martin Shepperd, Yuchen Guo, Ning Li +7
Context: Conducting experiments is central to research machine learning research to benchmark, evaluate and compare learning algorithms. Consequently it is important we conduct rel…
cs.SE2019★ 11 cited
A Systematic Review of Unsupervised Learning Techniques for Software Defect Prediction
Ning Li, Martin Shepperd, Yuchen Guo
Background: Unsupervised machine learners have been increasingly applied to software defect prediction. It is an approach that may be valuable for software practitioners because it…