3 citations · 10 across the 12 of their papers we have counts for
6 papers · 1 filter
When AI Joins the Team! A Model of How AI Adoption Relates To Social Patterns in Software Engineering Teams
Giusy Annunziata, Rudrajit Choudhuri, Anita Sarma +2
Context: The growing adoption of AI-assisted development tools is changing how software teams collaborate, share knowledge, and coordinate, yet its consequences for team social dyn…
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…
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…
"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…
Investigating the Impact of Interpersonal Challenges on Feeling Welcome in OSS
Bianca Trinkenreich, Zixuan Feng, Rudrajit Choudhuri +3
The sustainability of open source software (OSS) projects hinges on contributor retention. Interpersonal challenges can inhibit a feeling of welcomeness among contributors, particu…
How Far Are We? The Triumphs and Trials of Generative AI in Learning Software Engineering
Rudrajit Choudhuri, Dylan Liu, Igor Steinmacher +2
Conversational Generative AI (convo-genAI) is revolutionizing Software Engineering (SE) as engineers and academics embrace this technology in their work. However, there is a gap in…