4 citations · 7 across the 8 of their papers we have counts for
9 papers
ChatGPT: Friend or Foe When Comprehending and Changing Unfamiliar Code
Norman Anderson, Tarek Alakmeh, Victoria Jackson +7
A rapidly growing body of research is examining how LLMs influence developers when they code. To date, this research has tended to focus on productivity and code quality outcomes,…
Taking a Pulse on How Generative AI is Reshaping the Software Engineering Research Landscape
Bianca Trinkenreich, Fabio Calefato, Kelly Blincoe +8
Context: Software engineering (SE) researchers increasingly study Generative AI (GenAI) while also incorporating it into their own research practices. Despite rapid adoption, there…
From Technical Debt to Cognitive and Intent Debt: Rethinking Software Health in the Age of AI
Margaret-Anne Storey
Generative AI is accelerating software development, but may quietly shift where the most significant risks lie. As AI generates code faster than teams can understand it, two under…
Product Manager Practices for Delegating Work to Generative AI: "Accountability must not be delegated to non-human actors"
Mara Ulloa, Jenna L. Butler, Sankeerti Haniyur +4
Generative AI (GenAI) is changing the nature of knowledge work, particularly for Product Managers (PMs) in software development teams. While much software engineering research has…
Good Vibrations? A Qualitative Study of Co-Creation, Communication, Flow, and Trust in Vibe Coding
Veronica Pimenova, Sarah Fakhoury, Christian Bird +2
Vibe coding, a term coined by Andrej Karpathy in February 2025, has quickly become a compelling and controversial natural language programming paradigm in AI-assisted software deve…
"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…
Get on the Train or be Left on the Station: Using LLMs for Software Engineering Research
Bianca Trinkenreich, Fabio Calefato, Geir Hanssen +5
The adoption of Large Language Models (LLMs) is not only transforming software engineering (SE) practice but is also poised to fundamentally disrupt how research is conducted in th…
Generative AI and Empirical Software Engineering: A Paradigm Shift
Christoph Treude, Margaret-Anne Storey
The adoption of large language models (LLMs) and autonomous agents in software engineering marks an enduring paradigm shift. These systems create new opportunities for tool design,…
Identifying Factors Contributing to Bad Days for Software Developers: A Mixed Methods Study
Ike Obi, Jenna Butler, Sankeerti Haniyur +3
Software development is a dynamic activity that requires engineers to work effectively with tools, processes, and collaborative teams. As a result, the presence of friction can sig…