1 citations · 1 across the 1 of their papers we have counts for
5 papers
Observing Fine-Grained Changes in Jupyter Notebooks During Development Time
Sergey Titov, Konstantin Grotov, Cristina Sarasua +5
In software engineering research, the analysis of fine-grained logs led to significant innovations in areas such as refactoring, security, and code completion. However, even though…
PIPer: On-Device Environment Setup via Online Reinforcement Learning
Alexander Kovrigin, Aleksandra Eliseeva, Konstantin Grotov +2
Environment setup-the process of configuring the system to work with a specific software project-represents a persistent challenge in Software Engineering (SE). Automated environme…
Themisto: Jupyter-Based Runtime Benchmark
Konstantin Grotov, Sergey Titov
In this work, we present a benchmark that consists of Jupyter notebooks development trajectories and allows measuring how large language models (LLMs) can leverage runtime informat…
Evolving the Computational Notebook: A Two-Dimensional Canvas for Enhanced Human-AI Interaction
Konstantin Grotov, Dmitry Botov
Computational notebooks, while essential for data science, are limited by their one-dimensional interface, which poorly aligns with non-linear developer workflows and complicates c…
Debug Smarter, Not Harder: AI Agents for Error Resolution in Computational Notebooks
Konstantin Grotov, Artem Borzilov, Maksim Krivobok +2
Computational notebooks became indispensable tools for research-related development, offering unprecedented interactivity and flexibility in the development process. However, these…