3 papers
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.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.SE2025
Enriching Automatic Test Case Generation by Extracting Relevant Test Inputs from Bug Reports
Wendkûuni C. Ouédraogo, Laura Plein, Kader Kaboré +4
The quality of software is closely tied to the effectiveness of the tests it undergoes. Manual test writing, though crucial for bug detection, is time-consuming, which has driven s…