The Nested Context Model for Hyperdocuments. - Marco A. Casanova; Luiz Tucherman; Maria Julia Dias de Lima; Jose L. Rangel Netto; Noemi de La Rocque Rodriguez; Luiz Fernando Gomes Soares (Hypertext, 1991)

Orfeo:programaçãO Distribuída Orientada a eventos com Funções E Continuações como Valores de Primeira classe. - Maria Julia Dias de Lima (2001)

CSBase: A Framework for Building Customized Grid Environments. - 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 (WETICE, 2006)

Analysis of the criteria adopted in industry to extract microservices. - Luiz Carvalho; Alessandro Garcia 001; Wesley K. G. Assunção; Rafael Maiani de Mello; Maria Julia de Lima (CESSER-IP@ICSE, 2019)

Search-based many-criteria identification of microservices from legacy systems. - Luiz Carvalho; Alessandro Garcia 001; Thelma Elita Colanzi; Wesley K. G. Assunção; Maria Julia de Lima; Baldoino Fonseca; Márcio Ribeiro 001; Carlos Lucena (GECCO Companion, 2020)

On the Performance and Adoption of Search-Based Microservice Identification with toMicroservices. - Luiz Carvalho; Alessandro F. Garcia 001; Thelma Elita Colanzi; Wesley K. G. Assunção; Juliana Alves Pereira; Baldoino Fonseca; Márcio Ribeiro 001; Maria Julia de Lima; Carlos Lucena (ICSME, 2020)

A Multi-Criteria Strategy for Redesigning Legacy Features as Microservices: An Industrial Case Study. - Wesley K. G. Assunção; Thelma Elita Colanzi; Luiz Carvalho; Juliana Alves Pereira; Alessandro F. Garcia 001; Maria Julia de Lima; Carlos Lucena (SANER, 2021)

Text Classification in the Brazilian Legal Domain. - 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 (ICEIS (1), 2022)

Analysis of a many-objective optimization approach for identifying microservices from legacy systems. - Wesley K. G. Assunção; Thelma Elita Colanzi; Luiz Carvalho; Alessandro Garcia 001; Juliana Alves Pereira; Maria Julia de Lima; Carlos Lucena (Empir. Softw. Eng., 2022)

Information Extraction in the Legal Domain: Traditional Supervised Learning vs. ChatGPT. - 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 (ICEIS (1), 2024)

Investigating Benefits and Limitations of Migrating to a Micro-Frontends Architecture. - Fabio Antunes; Maria Julia Dias de Lima; Marco Antônio Pereira Araújo; Davide Taibi 001; Marcos Kalinowski (SBES, 2024)

Towards Effective Collaboration between Software Engineers and Data Scientists developing Machine Learning-Enabled Systems. - Gabriel Busquim; Allysson Allex Araújo; Maria Julia de Lima; Marcos Kalinowski (SBES, 2024)

On the Interaction Between Software Engineers and Data Scientists When Building Machine Learning-Enabled Systems. - Gabriel Busquim; Hugo Villamizar; Maria Julia de Lima; Marcos Kalinowski (SWQD, 2024)

On the Usefulness of Automatically Generated Microservice Architectures. - Luiz Carvalho; Thelma Elita Colanzi; Wesley K. G. Assunção; Alessandro F. Garcia 001; Juliana Alves Pereira; Marcos Kalinowski; Rafael Maiani de Mello; Maria Julia de Lima; Carlos Lucena (IEEE Trans. Software Eng., 2024)