4 citations · 11 across the 18 of their papers we have counts for
19 papers · 1 filter
Restructure This: Using AI to Restructure Onboarding Documents to Reduce Cognitive Overload
Zixuan Feng, Prashant Tandan, Igor Steinmacher +2
Onboarding documentation is critical for attracting and retaining newcomers in open source software (OSS). However, it is often presented as dense, inconsistently structured, and f…
Forecasting Developer Environments with GenAI: A Research Perspective
Raula Gaikovina Kula, Christoph Treude, Xing Hu +28
Generative Artificial Intelligence (GenAI) models are achieving remarkable performance in various tasks, including code generation, testing, code review, and program repair. The ab…
A Comparison of Conversational Models and Humans in Answering Technical Questions: the Firefox Case
Joao Correia, Daniel Coutinho, Marco Castelluccio +6
The use of Large Language Models (LLMs) to support tasks in software development has steadily increased over recent years. From assisting developers in coding activities to providi…
The Fast and Spurious: Developer Productivity with GenAI
Sadia Afroz, Zixuan Feng, Tyler Menezes +4
Generative AI (GenAI) tools are increasingly being adopted in software development as productivity aids, since there is evidence that GenAI tools can improve individual aspects of…
Charting Uncertain Waters: A Socio-Technical Roadmap for Sustaining Open Source Communities in the Age of GenAI
Zixuan Feng, Reed Milewicz, Emerson Murphy-Hill +4
Open Source Software (OSS) communities face a wave of uncertainty as Generative AI (GenAI) rapidly transforms how software is created, maintained, and governed. Without clear frame…
Applying Large Language Models to Issue Classification: Revisiting with Extended Data and New Models
Gabriel Aracena, Kyle Luster, Fabio Santos +2
Effective prioritization of issue reports in software engineering helps to optimize resource allocation and information recovery. However, manual issue classification is laborious…