3 papers
cs.SE2026
Neural Change Prediction: Relating Software Changes to Their Effects and Vice Versa
Laura Plein, Souhila Zidane, Jordan Samhi +1
Much of software development revolves around understanding the relationship between software changes and their effects. If we could learn and predict those relationships, such pred…
cs.LG2026
SecretFan: Synthesizing Realistic Data without Breaking Privacy
Laura Plein, Alexi Turcotte, Arina Hallemans +1
There is a need for synthetic training and test datasets that replicate statistical distributions of original datasets without compromising their confidentiality. A lot of research…
cs.SE2020
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…