2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.SE2025★ 2 cited
LLM-Assisted Thematic Analysis: Opportunities, Limitations, and Recommendations
Tatiane Ornelas, Allysson Allex Araújo, Júlia Araújo +3
[Context] Large Language Models (LLMs) are increasingly used to assist qualitative research in Software Engineering (SE), yet the methodological implications of this usage remain u…
cs.SE2025
DIP-AI: A Discovery Framework for AI Innovation Projects
Mariana Crisostomo Martins, Lucas Elias Cardoso Rocha, Lucas Cordeiro Romao +3
Despite the increasing development of Artificial Intelligence (AI) systems, Requirements Engineering (RE) activities face challenges in this new data-intensive paradigm. We identif…