activity
20232026
most citedGEMS: Generative Expert Metric System through Iterative Prompt Priming

2 citations · 4 across the 9 of their papers we have counts for

collaborators

9 papers

cs.SE2026

Making AI Visible, Not Vanished: How AI Policies Reshape Developer Experience on GitHub

Yunqi Chen, Thomas Zimmermann, Bianca Trinkenreich

Generative AI is rapidly reshaping Open Source Software (OSS) software development,prompting projects to introduce policies governing AI-assisted contributions. However, little is…

cs.SE2026

Developers' Experience with Generative AI Beyond Productivity Assessment -- Insights from an Empirical Mixed-Methods Field Study

Charlotte Brandebusemeyer, Kerim Zunic, Thomas Zimmermann +2

With the growing adoption of AI-powered coding assistants, organizations and developers are increasingly seeking to optimize their interaction with these tools. Prior research has…

cs.SE2026

What Makes a Good Bug Report for an AI Agent?

Lara Khatib, Noble Saji Mathews, Meiyappan Nagappan +2

Automated program repair (APR) agents are transitioning from research benchmarks to developer workflows, yet they still begin with bug reports written for human developers. While d…

cs.SE2026

Taking a Pulse on How Generative AI is Reshaping the Software Engineering Research Landscape

Bianca Trinkenreich, Fabio Calefato, Kelly Blincoe +8

Context: Software engineering (SE) researchers increasingly study Generative AI (GenAI) while also incorporating it into their own research practices. Despite rapid adoption, there…

cs.SE2025

Time Warp: The Gap Between Developers' Ideal vs Actual Workweeks in an AI-Driven Era

Sukrit Kumar, Drishti Goel, Thomas Zimmermann +3

Software developers balance a variety of different tasks in a workweek, yet the allocation of time often differs from what they consider ideal. Identifying and addressing these dev…

cs.SE2024★ 2 cited

Beyond the Comfort Zone: Emerging Solutions to Overcome Challenges in Integrating LLMs into Software Products

Nadia Nahar, Christian Kästner, Jenna Butler +3

Large Language Models (LLMs) are increasingly embedded into software products across diverse industries, enhancing user experiences, but at the same time introducing numerous chall…

cs.SE2024★ 2 cited

GEMS: Generative Expert Metric System through Iterative Prompt Priming

Ti-Chung Cheng, Carmen Badea, Christian Bird +4

Across domains, metrics and measurements are fundamental to identifying challenges, informing decisions, and resolving conflicts. Despite the abundance of data available in this in…

cs.SE2023

Objectives and Key Results in Software Teams: Challenges, Opportunities and Impact on Development

Jenna Butler, Thomas Zimmermann, Christian Bird

Building software, like building almost anything, requires people to understand a common goal and work together towards it. In large software companies, a VP or Director will have…

cs.SE2023

Can GPT-4 Replicate Empirical Software Engineering Research?

Jenny T. Liang, Carmen Badea, Christian Bird +4

Empirical software engineering research on production systems has brought forth a better understanding of the software engineering process for practitioners and researchers alike.…