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

2 citations · 5 across the 8 of their papers we have counts for

collaborators

9 papers

cs.HC2026

What Makes a Great Co-Worker in an AI-Native Workplace?

Rudrajit Choudhuri, Max Meijer, Sam Yu-Te Lee +6

As knowledge work grows interdependent between humans and AI, we ask what makes a great co-worker in an AI-native workplace. To answer this, we conducted 22 interviews and a large-…

cs.HC2026

You Shall Not Pass! Where and Why Developers Draw The Line on AI Autonomy

Rudrajit Choudhuri, Christian Bird, Carmen Badea +2

As AI takes on more software work, the line between human and AI effort is shifting. Where developers draw that line around AI autonomy bears on how we design tools and roles that…

cs.SE2026

To Copilot and Beyond: 22 AI Systems Developers Want Built

Rudrajit Choudhuri, Christian Bird, Carmen Badea +1

Developers spend roughly one-tenth of their workday writing code, yet most AI tooling targets that fraction. This paper asks what should be built for the rest. We surveyed 860 Micr…

cs.SE2025

AI Where It Matters: Where, Why, and How Developers Want AI Support in Daily Work

Rudrajit Choudhuri, Carmen Badea, Christian Bird +3

Generative AI is reshaping software work, yet we lack clear guidance on where developers most need support and how to design it responsibly. We report a large-scale, mixed-methods…

cs.SE2025★ 1 cited

"Maybe We Need Some More Examples:" Individual and Team Drivers of Developer GenAI Tool Use

Courtney Miller, Rudrajit Choudhuri, Mara Ulloa +6

Despite the widespread availability of generative AI tools in software engineering, developer adoption remains uneven. This unevenness is problematic because it hampers productivit…

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.…