3 citations · 3 across the 2 of their papers we have counts for
8 papers
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…
The Impact of Configuring Agentic AI Coding Tools on Build-vs-Buy Decisions: A Study Protocol
Jai Lal Lulla, Matthias Galster, Jie M. Zhang +2
Agentic AI coding tools write code with increasing autonomy and in doing so decide when to import a library and when to implement functionality from scratch. These decisions, wheth…
A Dataset of Agentic AI Coding Tool Configurations
Matthias Galster, Seyedmoein Mohsenimofidi, Levi Böhme +4
Agentic AI coding tools such as Claude Code and OpenAI Codex execute multi-step coding tasks with limited human oversight. To steer these tools, developers create repository-level…
User Misconceptions of LLM-Based Conversational Programming Assistants
Gabrielle O'Brien, Antonio Pedro Santos Alves, Sebastian Baltes +3
Programming assistants powered by large language models (LLMs) have become widely available, with conversational assistants like ChatGPT particularly accessible to novice programme…
The Silent Scientist: When Software Research Fails to Reach Its Audience
Marvin Wyrich, Christof Tinnes, Sebastian Baltes +1
If software research were a performance, it would be a thoughtful theater play -- full of rich content but confined to the traditional stage of academic publishing. Meanwhile, its…
Making Software Development More Diverse and Inclusive: Key Themes, Challenges, and Future Directions
Sonja M. Hyrynsalmi, Sebastian Baltes, Chris Brown +7
Introduction: Digital products increasingly reshape industries, influencing human behavior and decision-making. However, the software development teams developing these systems oft…