2 citations · 2 across the 3 of their papers we have counts for
5 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…
Predicting the Impact of Crashes Across Release Channels
Suhaib Mujahid, Diego Elias Costa, Marco Castelluccio
Software maintenance faces a persistent challenge with crash bugs, especially across diverse release channels catering to distinct user bases. Nightly builds, favoured by enthusias…