5 papers
Beyond Code Snippets: Benchmarking LLMs on Repository-Level Question Answering
Yoseph Berhanu Alebachew, Hunter Leary, Swanand Vaishampayan +1
Large Language Models (LLMs) have shown impressive capabilities across software engineering tasks, including question answering (QA). However, most studies and benchmarks focus on…
A Framework for Multi-source Prefetching Through Adaptive Weight
Yoseph Berhanu Alebachew, Mulugeta Libsie
The World Wide Web has come to be a great part of our daily life, yet user observed latency is still a problem that needs a proper means of handling. Even though earlier attempts f…
AI-Guided Exploration of Large-Scale Codebases
Yoseph Berhanu Alebachew
Understanding large-scale, complex software systems is a major challenge for developers, who spend a significant portion of their time on program comprehension. Traditional tools s…
Automatic Bias Detection in Source Code Review
Yoseph Berhanu Alebachew, Chris Brown
Bias is an inherent threat to human decision-making, including in decisions made during software development. Extensive research has demonstrated the presence of biases at various…
Are We on the Same Page? Examining Developer Perception Alignment in Open Source Code Reviews
Yoseph Berhanu Alebachew, Minhyuk Ko, Chris Brown
Code reviews are a critical aspect of open-source software (OSS) development, ensuring quality and fostering collaboration. This study examines perceptions, challenges, and biases…