6 papers
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…
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…
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…
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…
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…
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…