15 citations · 20 across the 7 of their papers we have counts for
7 papers
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…
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…
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…
Automatic Generation of Test Cases based on Bug Reports: a Feasibility Study with Large Language Models
Laura Plein, Wendkûuni C. Ouédraogo, Jacques Klein +1
Software testing is a core discipline in software engineering where a large array of research results has been produced, notably in the area of automatic test generation. Because e…
Can LLMs Demystify Bug Reports?
Laura Plein, Tegawendé F. Bissyandé
Bugs are notoriously challenging: they slow down software users and result in time-consuming investigations for developers. These challenges are exacerbated when bugs must be repor…
RatGPT: Turning online LLMs into Proxies for Malware Attacks
Mika Beckerich, Laura Plein, Sergio Coronado
The evolution of Generative AI and the capabilities of the newly released Large Language Models (LLMs) open new opportunities in software engineering. However, they also lead to ne…
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…