most citedComparing Software Developers with ChatGPT: An Empirical Investigation

32 citations · 37 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2024

Assessing ML Classification Algorithms and NLP Techniques for Depression Detection: An Experimental Case Study

Giuliano Lorenzoni, Cristina Tavares, Nathalia Nascimento +2

Depression has affected millions of people worldwide and has become one of the most common mental disorders. Early mental disorder detection can reduce costs for public health agen…

cs.MA20231 cited

GPT-in-the-Loop: Adaptive Decision-Making for Multiagent Systems

Nathalia Nascimento, Paulo Alencar, Donald Cowan

This paper introduces the "GPT-in-the-loop" approach, a novel method combining the advanced reasoning capabilities of Large Language Models (LLMs) like Generative Pre-trained Trans…

cs.MA20234 cited

Self-Adaptive Large Language Model (LLM)-Based Multiagent Systems

Nathalia Nascimento, Paulo Alencar, Donald Cowan

In autonomic computing, self-adaptation has been proposed as a fundamental paradigm to manage the complexity of multiagent systems (MASs). This achieved by extending a system with…

cs.SE202332 cited

Comparing Software Developers with ChatGPT: An Empirical Investigation

Nathalia Nascimento, Paulo Alencar, Donald Cowan

The advent of automation in particular Software Engineering (SE) tasks has transitioned from theory to reality. Numerous scholarly articles have documented the successful applicati…

cs.SE2023

Supporting Contextual Conversational Agent-Based Software Development

Glaucia Melo, Luis Fernando Lins, Paulo Alencar +1

Software Development (SD) is remarkably dynamic and is critically dependent on the knowledge acquired by the project's software developers as the project progresses. Software devel…