59 citations · 65 across the 10 of their papers we have counts for
Showing 2026Show all
2 papers · 1 filter
cs.SE2026
On Automated and Explainable Provenance of AI-Generated Code
Alejandro Velasco, Nathan Wintersgill, Trevor Stalnaker +2
Generative AI for code generation has transformed software development, but it has also introduced a critical transparency problem: the origins of AI-generated code are opaque to t…
cs.SE2026
"Don't Be Afraid, Just Learn": Insights from Industry Practitioners to Prepare Software Engineers in the Age of Generative AI
Daniel Otten, Trevor Stalnaker, Nathan Wintersgill +3
Although tension between university curricula and industry expectations has existed in some form for decades, the rapid integration of generative AI (GenAI) tools into software dev…