2 citations · 3 across the 4 of their papers we have counts for
4 papers
The Replication Assessment Problem in Software Engineering
Giuseppe Destefanis, Martin Shepperd, Leila Yousefi
Background: Replication studies in software engineering are increasingly common, yet their interpretation remains uncertain and inconsistent because assessments frequently rely on…
An Audit of Machine Learning Experiments on Software Defect Prediction
Giuseppe Destefanis, Leila Yousefi, Martin Shepperd +4
Background: Machine learning algorithms are widely used to predict defect prone software components. In this literature, computational experiments are the main means of evaluation,…
"Estimating software project effort using analogies": Reflections after 28 years
Martin Shepperd
Background: This invited paper is the result of an invitation to write a retrospective article on a "TSE most influential paper" as part of the journal's 50th anniversary. Objectiv…
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…