267 citations · 374 across the 4 of their papers we have counts for
5 papers
What Needs Attention? Prioritizing Drivers of Developers' Trust and Adoption of Generative AI
Rudrajit Choudhuri, Bianca Trinkenreich, Rahul Pandita +5
Generative AI (genAI) tools promise productivity gains, yet miscalibrated trust and usage friction still hinder adoption. Moreover, genAI can be exclusionary, failing to adequately…
What Guides Our Choices? Modeling Developers' Trust and Behavioral Intentions Towards GenAI
Rudrajit Choudhuri, Bianca Trinkenreich, Rahul Pandita +5
Generative AI (genAI) tools, such as ChatGPT or Copilot, are advertised to improve developer productivity and are being integrated into software development. However, misaligned tr…
The Impact of AI on Developer Productivity: Evidence from GitHub Copilot
Sida Peng, Eirini Kalliamvakou, Peter Cihon +1
Generative AI tools hold promise to increase human productivity. This paper presents results from a controlled experiment with GitHub Copilot, an AI pair programmer. Recruited soft…
Productivity Assessment of Neural Code Completion
Albert Ziegler, Eirini Kalliamvakou, Shawn Simister +5
Neural code synthesis has reached a point where snippet generation is accurate enough to be considered for integration into human software development workflows. Commercial product…
The Who, What, How of Software Engineering Research: A Socio-Technical Framework
Margaret-Anne Storey, Neil A. Ernst, Courtney Williams +1
Software engineering is a socio-technical endeavor, and while many of our contributions focus on technical aspects, human stakeholders such as software developers are directly affe…