279 citations · 625 across the 21 of their papers we have counts for
5 papers · 1 filter
Antipatterns in AI-assisted Qualitative Data Analysis: A Catalog of Temptations and Pitfalls for Software Engineering Researchers
Rashina Hoda, Carolyn Seaman, Victoria Gomes +1
AI-assisted qualitative data analysis (QDA) offers unprecedented opportunities to streamline software engineering (SE) research, yet uncritical use risks compromising analytical ri…
Bias Smells in AI Software Development: Recognizing Potential Sources of Fairness Debt
Ronnie de Souza Santos, Cleyton Magalhaes, Rodrigo Spinola
Context: Fairness debt arises from AI development shortcomings that may lead to societal harms. While technical and social debt concern software design decisions and team dynamics,…
Understanding Undesirable Attributes of Requirements Engineers: Insights from Practitioners
Larissa Barbosa, Sávio Freire, Marcos Kalinowski +4
Context. The characteristics of software professionals have been widely investigated in the literature. However, limited attention has been given to undesirable attributes in Requi…
LLM-Assisted Empirical Software Engineering: Systematic Literature Review and Research Agenda
Victoria Gomes, Delaney Selb, Fabio Palomba +2
Context: Empirical Software Engineering (ESE) faces increasing challenges due to data scale, methodological complexity, and reproducibility concerns. Large Language Models (LLMs) h…
A Survey on Large Language Model Impact on Software Evolvability and Maintainability: the Good, the Bad, the Ugly, and the Remedy
Bruno Claudino Matias, Savio Freire, Juliana Freitas +3
Context. Large Language Models (LLMs) are increasingly embedded in software engineering workflows for tasks including code generation, summarization, repair, and testing. Empirical…