4 citations · 4 across the 3 of their papers we have counts for
3 papers
Designing Empirical Studies on LLM-Based Code Generation: Towards a Reference Framework
Nathalia Nascimento, Everton Guimaraes, Paulo Alencar
The rise of large language models (LLMs) has introduced transformative potential in automated code generation, addressing a wide range of software engineering challenges. However,…
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…
Towards an Adaptive and Normative Multi-Agent System Metamodel and Language: Existing Approaches and Research Opportunities
Marx Viana, Paulo Alencar, Carlos Lucena
Several Multi-Agent System (MAS) metamodels and languages have been proposed in the literature to support the development of agent-based applications. MAS metamodels are used to ca…