4 papers
XBIDetective: Leveraging Vision Language Models for Identifying Cross-Browser Visual Inconsistencies
Balreet Grewal, James Graham, Jeff Muizelaar +4
Browser rendering bugs can be challenging to detect for browser developers, as they may be triggered by very specific conditions that are exhibited on only a very small subset of w…
A Comparison of Conversational Models and Humans in Answering Technical Questions: the Firefox Case
Joao Correia, Daniel Coutinho, Marco Castelluccio +6
The use of Large Language Models (LLMs) to support tasks in software development has steadily increased over recent years. From assisting developers in coding activities to providi…
A Dataset of Performance Measurements and Alerts from Mozilla (Data Artifact)
Mohamed Bilel Besbes, Diego Elias Costa, Suhaib Mujahid +2
Performance regressions in software systems can lead to significant financial losses and degraded user satisfaction, making their early detection and mitigation critical. Despite t…
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…