132 citations · 135 across the 6 of their papers we have counts for
6 papers
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…
A Design Space for Intelligent and Interactive Writing Assistants
Mina Lee, Katy Ilonka Gero, John Joon Young Chung +33
In our era of rapid technological advancement, the research landscape for writing assistants has become increasingly fragmented across various research communities. We seek to addr…
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…
In-IDE Human-AI Experience in the Era of Large Language Models; A Literature Review
Agnia Sergeyuk, Sergey Titov, Maliheh Izadi
Integrated Development Environments (IDEs) have become central to modern software development, especially with the integration of Artificial Intelligence (AI) to enhance programmin…
Overcoming the Mental Set Effect in Programming Problem Solving
Agnia Sergeyuk, Sergey Titov, Yaroslav Golubev +1
This paper adopts a cognitive psychology perspective to investigate the recurring mistakes in code resulting from the mental set (Einstellung) effect. The Einstellung effect is the…
What Writing Assistants Can Learn from Programming IDEs
Sergey Titov, Agnia Sergeyuk, Timofey Bryksin
With the development of artificial intelligence, writing assistants (WAs) are changing the way people interact with text, creating lengthy outputs that can be overwhelming for user…