This workshop aims to define a roadmap for a world where AI Teammates and human developers build the future together, anchored by the launch of the AIDev dataset, which provides the empirical evidence needed to understand the behaviors of AI Teammates.
Hao Li, Haoxiang Zhang, Jie M. Zhang et al.· Proceedings of the 32nd ACM...· 2 citations
The first large-scale empirical study of AI governance policies in OSS is presented, identifying 385 projects that adopted AI policies and derive TRACE, a framework capturing five governance dimensions: Transparency, Responsibility, Attribution, Constraints, and Enforcement.
Yun-Qi Chen, Thomas Zimmermann, Bianca Trinkenreich· 1 citation
We are witnessing the emergence of Agentic Software Engineering (SE~3.0), where AI agents act as autonomous AI Teammates performing complex tasks such as coding, debugging, and testing. As AI Teammates generate a vast new category of digital artifacts, they introduce unique opportunities and challenges related to human...
Hao Li, Haoxiang Zhang, Jie M. Zhang et al.· Proceedings of the 32nd ACM...· 0 citations
It is found that a good bug report for an agent overlaps with, but is not identical to, a good report for a human: agents benefit most from concrete, executable, and well-localized information, whereas some qualities long emphasized for human readers, such as natural language steps to reproduce and readable description...
Lara Khatib, N. Mathews, M. Nagappan et al.· arXiv.org· 2 citations· ⚡1
This paper presents a developer-centered empirical mixed-methods study to investigate how professional developers engage with Generative AI in their natural work environment, and proposes a rule-of-thumb for selecting an interaction type based on task characteristics.
Charlotte Brandebusemeyer, Kerim Zunic, Thomas Zimmermann et al.· ACM Transactions on Software...· 0 citations
A three-level taxonomy inspired by autonomous driving that distinguishes degrees of autonomy along a roadmap from today’s AI-assisted development workflows to fully autonomous software development in which AI systems autonomously identify demands and design, implement, verify, and maintain software without human oversi...
Hao Wang, Ruijie Meng, Zhe Ye et al.· 0 citations
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