Maria Julia de Lima

15 papers A 2B 1C 1Journal 4Unranked 7
YearRankTypeTitle / Venue / Authors
2025 — conf
On the Interaction between Software Engineers and Data Scientists when Building Machine Learning-Enabled Systems.
SBQS
Gabriel Busquim, Maria Julia de Lima, Marcos Kalinowski
2025 B conf
Using Language Models for Extracting Legal Decisions from Portuguese Consumer Law Texts.
IJCNN
Santiago Vasquez, Thiago M. Carvalho, Diego Páez Ardila, João Verçosa, Eduardo Ramos, Alimed Celecia Ramos, Isabella Zalcberg Frajhof, Ana Lara Mangeth, Maria Julia de Lima, Karla Figueiredo, Meyer Nigri, Marley M. B. R. Vellasco
2024 — conf
Information Extraction in the Legal Domain: Traditional Supervised Learning vs. ChatGPT.
ICEIS (1)
Gustavo M. C. Coelho, Alimed Celecia Ramos, Jefferson Alves de Sousa, Melissa Lemos, Maria Julia de Lima, Ana Lara Mangeth, Isabella Zalcberg Frajhof, Marco A. Casanova
2024 — conf
On the Interaction Between Software Engineers and Data Scientists When Building Machine Learning-Enabled Systems.
SWQD
Gabriel Busquim, Hugo Villamizar, Maria Julia de Lima, Marcos Kalinowski
2024 J jnl
On the Interaction between Software Engineers and Data Scientists when building Machine Learning-Enabled Systems.
CoRR
Gabriel Busquim, Hugo Villamizar, Maria Julia de Lima, Marcos Kalinowski
2024 J jnl
On the Usefulness of Automatically Generated Microservice Architectures.
IEEE Trans. Software Eng.
Luiz Carvalho, Thelma Elita Colanzi, Wesley K. G. Assunção, Alessandro F. Garcia, Juliana Alves Pereira, Marcos Kalinowski, Rafael Maiani de Mello, Maria Julia de Lima, Carlos Lucena
2024 — conf
Towards Effective Collaboration between Software Engineers and Data Scientists developing Machine Learning-Enabled Systems.
SBES
Gabriel Busquim, Allysson Allex Araújo, Maria Julia de Lima, Marcos Kalinowski
2024 J jnl
Towards Effective Collaboration between Software Engineers and Data Scientists developing Machine Learning-Enabled Systems.
CoRR
Gabriel Busquim, Allysson Allex Araújo, Maria Julia de Lima, Marcos Kalinowski
2022 J jnl
Analysis of a many-objective optimization approach for identifying microservices from legacy systems.
Empir. Softw. Eng.
Wesley K. G. Assunção, Thelma Elita Colanzi, Luiz Carvalho, Alessandro Garcia, Juliana Alves Pereira, Maria Julia de Lima, Carlos Lucena
2022 — conf
Text Classification in the Brazilian Legal Domain.
ICEIS (1)
Gustavo M. C. Coelho, Alimed Celecia Ramos, Jefferson Alves de Sousa, Melissa Cavaliere, Maria Julia de Lima, Ana Lara Mangeth, Isabella Zalcberg Frajhof, Cesar Cury, Marco A. Casanova
2021 A conf
A Multi-Criteria Strategy for Redesigning Legacy Features as Microservices: An Industrial Case Study.
SANER
Wesley K. G. Assunção, Thelma Elita Colanzi, Luiz Carvalho, Juliana Alves Pereira, Alessandro F. Garcia, Maria Julia de Lima, Carlos Lucena
2020 A conf
On the Performance and Adoption of Search-Based Microservice Identification with toMicroservices.
ICSME
Luiz Carvalho, Alessandro F. Garcia, Thelma Elita Colanzi, Wesley K. G. Assunção, Juliana Alves Pereira, Baldoino Fonseca, Márcio Ribeiro, Maria Julia de Lima, Carlos Lucena
2020 — conf
Search-based many-criteria identification of microservices from legacy systems.
GECCO Companion
Luiz Carvalho, Alessandro Garcia, Thelma Elita Colanzi, Wesley K. G. Assunção, Maria Julia de Lima, Baldoino Fonseca, Márcio Ribeiro, Carlos Lucena
2019 — conf
Analysis of the criteria adopted in industry to extract microservices.
CESSER-IP@ICSE
Luiz Carvalho, Alessandro Garcia, Wesley K. G. Assunção, Rafael Maiani de Mello, Maria Julia de Lima
2006 C conf
CSBase: A Framework for Building Customized Grid Environments.
WETICE
Maria Julia de Lima, Cristina D. Ururahy, Ana Lúcia de Moura, Taciana Melcop, Carlos Cassino, Marcelo Nery dos Santos, Bruno Silvestre, Valéria Quadros dos Reis, Renato Cerqueira