6 citations · 9 across the 4 of their papers we have counts for
6 papers
Towards an AI Software Factory for Data Systems
Anna Pavlenko, Bogdan Crivat, Brandon Haynes +23
AI-assisted coding tools deliver significant acceleration of coding, but only limited impact across the end-to-end software development lifecycle (SDLC)--an Amdahl's law effect! In…
Investigating Autonomous Agent Contributions in the Wild: Activity Patterns and Code Change over Time
Razvan Mihai Popescu, David Gros, Andrei Botocan +3
The rise of large language models for code has reshaped software development. Autonomous coding agents, able to create branches, open pull requests, and perform code reviews, now a…
Cognitive Biases in LLM-Assisted Software Development
Xinyi Zhou, Zeinadsadat Saghi, Sadra Sabouri +3
The widespread adoption of Large Language Models (LLMs) in software development is transforming programming from a solution-generative to a solution-evaluative activity. This shift…
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…
Building Your Own Product Copilot: Challenges, Opportunities, and Needs
Chris Parnin, Gustavo Soares, Rahul Pandita +3
A race is underway to embed advanced AI capabilities into products. These product copilots enable users to ask questions in natural language and receive relevant responses that are…