1 citations · 1 across the 2 of their papers we have counts for
3 papers
Smells in System User Interactive Tests
Renaud Rwemalika, Sarra Habchi, Mike Papadakis +2
Test smells are known as bad development practices that reflect poor design and implementation choices in software tests. Over the last decade, test smells were heavily studied to…
What You See is What it Means! Semantic Representation Learning of Code based on Visualization and Transfer Learning
Patrick Keller, Laura Plein, Tegawendé F. Bissyandé +2
Recent successes in training word embeddings for NLP tasks have encouraged a wave of research on representation learning for source code, which builds on similar NLP methods. The o…
Selecting Fault Revealing Mutants
Thierry Titcheu Chekam, Mike Papadakis, Tegawendé Bissyandé +2
Mutant selection refers to the problem of choosing, among a large number of mutants, the (few) ones that should be used by the testers. In view of this, we investigate the problem…