6 papers · 1 filter
Agents with Feelings? Personality and Emotion in Multi-Agent Software Teams
Yunyan Ding, Thomas Zimmermann, Iftekhar Ahmed
Multi-agent LLM systems for Software Engineering (SE) typically differentiate agents through roles and workflows, but little is known about how agents' behavioral profiles affect t…
Understanding Dominant Themes in Reviewing Agentic AI-authored Code
Md. Asif Haider, Thomas Zimmermann
While prior work has examined the generation capabilities of Agentic AI systems, little is known about how reviewers respond to AI-authored code in practice. In this paper, we pres…
SE Journals in 2036: Looking Back at the Future We Need to Have
Tim Menzies, Paris Avgeriou, Robert Feldt +5
In 2025, SE publishing faces an existential crisis of scalability. As our communities swell globally and integrate fast-moving methodologies like LLMs, traditional peer-review prac…
Building Software by Rolling the Dice: A Qualitative Study of Vibe Coding
Yi-Hung Chou, Boyuan Jiang, Yi Wen Chen +4
Large language models (LLMs) are reshaping software engineering by enabling "vibe coding," in which developers build software primarily through prompts rather than writing code. Al…
When Domains Collide: An Activity Theory Exploration of Cross-Disciplinary Collaboration
Zixuan Feng, Thomas Zimmermann, Lorenzo Pisani +3
Background: Software development teams are increasingly diverse, embedded, and cross-disciplinary. Domain experts (DEs) from different disciplines collaborate with professional sof…
Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories
Mahan Tafreshipour, Aaron Imani, Eric Huang +3
The adoption of Large Language Models (LLMs) is reshaping software development as developers integrate these LLMs into their applications. In such applications, prompts serve as th…