4 papers
Retrieval-Oriented Code Representations in Agentic Bug Localization
Genevieve Caumartin, Tse-Hsun, Chen +1
LLM-based agents are increasingly being used to support software development, yet their performance in repository-level tasks depends on retrieving the right code context. Existing…
Reformulate, Retrieve, Localize: Agents for Repository-Level Bug Localization
Genevieve Caumartin, Glaucia Melo
Bug localization remains a critical yet time-consuming challenge in large-scale software repositories. Traditional information retrieval-based bug localization (IRBL) methods rely…
Beyond More Context: How Granularity and Order Drive Code Completion Quality
Uswat Yusuf, Genevieve Caumartin, Diego Elias Costa
Context plays an important role in the quality of code completion, as Large Language Models (LLMs) require sufficient and relevant information to assist developers in code generati…
Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study
Genevieve Caumartin, Qiaolin Qin, Sharon Chatragadda +3
Code reviews are an integral part of software development and have been recognized as a crucial practice for minimizing bugs and favouring higher code quality. They serve as an imp…