5 citations · 5 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
The Effect of Perceptual Load on Performance within IDE in People with ADHD Symptoms
Vseslav Kasatskii, Agnia Sergeyuk, Anastasiia Serova +2
In this paper, we describe the research on how perceptual load can affect programming performance in people with symptoms of Attention Deficit / Hyperactivity Disorder (ADHD). We a…