4 citations · 10 across the 16 of their papers we have counts for
5 papers · 1 filter
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…
The Multifaceted Nature of Mentoring in OSS: Strategies, Qualities, and Ideal Outcomes
Zixuan Feng, Igor Steinmacher, Marco Gerosa +4
Mentorship in open source software (OSS) is a vital, multifaceted process that includes onboarding newcomers, fostering skill development, and enhancing community building. This st…
Insights from the Frontline: GenAI Utilization Among Software Engineering Students
Rudrajit Choudhuri, Ambareesh Ramakrishnan, Amreeta Chatterjee +4
Generative AI (genAI) tools (e.g., ChatGPT, Copilot) have become ubiquitous in software engineering (SE). As SE educators, it behooves us to understand the consequences of genAI us…
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…
Anticipating User Needs: Insights from Design Fiction on Conversational Agents for Computational Thinking
Jacob Penney, João Felipe Pimentel, Igor Steinmacher +1
Computational thinking, and by extension, computer programming, is notoriously challenging to learn. Conversational agents and generative artificial intelligence (genAI) have the p…