5 citations · 10 across the 4 of their papers we have counts for
4 papers
Assessing the Feasibility of Selective Instrumentation for Runtime Code Coverage in Large C++ Game Engines
Ian Gauk, Doriane Olewicki, Joshua Romoff +1
Code coverage is a valuable guide for testing, but in AAA games the overhead of instrumentation conflicts with strict performance requirements and can destabilize automated tests.…
Impact of LLM-based Review Comment Generation in Practice: A Mixed Open-/Closed-source User Study
Doriane Olewicki, Leuson Da Silva, Suhaib Mujahid +6
We conduct a large-scale empirical user study in a live setup to evaluate the acceptance of LLM-generated comments and their impact on the review process. This user study was perfo…
An Empirical Study on Code Review Activity Prediction and Its Impact in Practice
Doriane Olewicki, Sarra Habchi, Bram Adams
During code reviews, an essential step in software quality assurance, reviewers have the difficult task of understanding and evaluating code changes to validate their quality and p…
On the Costs and Benefits of Adopting Lifelong Learning for Software Analytics -- Empirical Study on Brown Build and Risk Prediction
Doriane Olewicki, Sarra Habchi, Mathieu Nayrolles +3
Nowadays, software analytics tools using machine learning (ML) models to, for example, predict the risk of a code change are well established. However, as the goals of a project sh…