3 papers
cs.SE2026
Evolving with AI: A Longitudinal Analysis of Developer Logs
Agnia Sergeyuk, Eric Huang, Dariia Karaeva +3
AI-powered coding assistants are rapidly becoming fixtures in professional IDEs, yet their sustained influence on everyday development remains poorly understood. Prior research has…
cs.SE2024
Assessing Consensus of Developers' Views on Code Readability
Agnia Sergeyuk, Olga Lvova, Sergey Titov +3
The rapid rise of Large Language Models (LLMs) has changed software development, with tools like Copilot, JetBrains AI Assistant, and others boosting developers' productivity. Howe…
cs.SE2024
Reassessing Java Code Readability Models with a Human-Centered Approach
Agnia Sergeyuk, Olga Lvova, Sergey Titov +4
To ensure that Large Language Models (LLMs) effectively support user productivity, they need to be adjusted. Existing Code Readability (CR) models can guide this alignment. However…