2 citations · 6 across the 10 of their papers we have counts for
10 papers
A Research Agenda on Agents and Software Engineering: Outcomes from the Rio A2SE Seminar
Davide Taibi, Henry Muccini, Karthik Vaidhyanathan +15
The rise of agentic AI is reshaping software engineering in two intertwined directions: agents are increasingly applied to support software engineering tasks, and Agentic AI system…
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…
Statistical Confidence in Functional Correctness: An Approach for AI Product Functional Correctness Evaluation
Wallace Albertini, Marina Condé Araújo, Júlia Condé Araújo +2
The quality assessment of Artificial Intelligence (AI) systems is a fundamental challenge due to their inherently probabilistic nature. Standards such as ISO/IEC 25059 provide a qu…
User Misconceptions of LLM-Based Conversational Programming Assistants
Gabrielle O'Brien, Antonio Pedro Santos Alves, Sebastian Baltes +3
Programming assistants powered by large language models (LLMs) have become widely available, with conversational assistants like ChatGPT particularly accessible to novice programme…
Define-ML: An Approach to Ideate Machine Learning-Enabled Systems
Silvio Alonso, Antonio Pedro Santos Alves, Lucas Romao +2
[Context] The increasing adoption of machine learning (ML) in software systems demands specialized ideation approaches that address ML-specific challenges, including data dependenc…
Investigating Issues that Lead to Code Technical Debt in Machine Learning Systems
Rodrigo Ximenes, Antonio Pedro Santos Alves, Tatiana Escovedo +2
[Context] Technical debt (TD) in machine learning (ML) systems, much like its counterpart in software engineering (SE), holds the potential to lead to future rework, posing risks t…