activity
20242026
most citedOptimizing Large Language Model Hyperparameters for Code Generation

3 citations · 7 across the 14 of their papers we have counts for

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Showing 2025Show all

11 papers · 1 filter

cs.SE2025

Analyzing developer discussions on EU and US privacy legislation compliance in GitHub repositories

Georgia M. Kapitsaki, Maria Papoutsoglou, Christoph Treude +1

Context: Privacy legislation has impacted the way software systems are developed, prompting practitioners to update their implementations. Specifically, the EU General Data Protect…

cs.SE2025

Automated Code Review Assignments: An Alternative Perspective of Code Ownership on GitHub

Jai Lal Lulla, Raula Gaikovina Kula, Christoph Treude

Code ownership is central to ensuring accountability and maintaining quality in large-scale software development. Yet, as external threats such as software supply chain attacks on…

cs.SE2025

The Future of Development Environments with AI Foundation Models: NII Shonan Meeting 222 Report

Xing Hu, Raula Gaikovina Kula, Christoph Treude

Generative Artificial Intelligence (GenAI) models are achieving remarkable performance in various tasks, including code generation, testing, code review, and program repair. The ab…

cs.SE2025

Context Engineering for AI Agents in Open-Source Software

Seyedmoein Mohsenimofidi, Matthias Galster, Christoph Treude +1

GenAI-based coding assistants have disrupted software development. The next generation of these tools is agent-based, operating with more autonomy and potentially without human ove…

cs.SE2025

Does AI Code Review Lead to Code Changes? A Case Study of GitHub Actions

Kexin Sun, Hongyu Kuang, Sebastian Baltes +6

AI-based code review tools automatically review and comment on pull requests to improve code quality. Despite their growing presence, little is known about their actual impact. We…

cs.SE2025★ 3 cited

Guidelines for Empirical Studies in Software Engineering involving Large Language Models

Sebastian Baltes, Florian Angermeir, Chetan Arora +19

Large Language Models (LLMs) are widely used in software engineering (SE) research and practice, yet their non-determinism, opaque training data, and rapidly evolving models threat…

cs.SE2025

Self-Admitted GenAI Usage in Open-Source Software

Tao Xiao, Youmei Fan, Fabio Calefato +4

Strategized LaTeX removal and whitespace normalization approachThe widespread adoption of generative AI (GenAI) tools such as GitHub Copilot and ChatGPT is transforming software de…

cs.SE2025

The Shift from Writing to Pruning Software: A Bonsai-Inspired IDE for Reshaping AI Generated Code

Raula Gaikovina Kula, Christoph Treude

The rise of AI-driven coding assistants signals a fundamental shift in how software is built. While AI coding assistants have been integrated into existing Integrated Development E…

cs.SE2025

Open Source at a Crossroads: The Future of Licensing Driven by Monetization

Raula Gaikovina Kula, Brittany Anne Reid, Christoph Treude

The widespread adoption of open source libraries and frameworks can be attributed to their licensing. Open Source Software Licenses (OSS licenses) ensure that software can be sold…

cs.SE2025

Interacting with AI Reasoning Models: Harnessing "Thoughts" for AI-Driven Software Engineering

Christoph Treude, Raula Gaikovina Kula

Recent advances in AI reasoning models provide unprecedented transparency into their decision-making processes, transforming them from traditional black-box systems into models tha…

cs.CY2025

Building Bridges across Papua New Guinea's Digital Divide in Growing the ICT Industry

Marc Cheong, Sankwi Abuzo, Hideaki Hata +6

Papua New Guinea (PNG) is an emerging tech society with an opportunity to overcome geographic and social boundaries, in order to engage with the global market. However, the current…