Uma Análise dos Ambientes de Ensino de Banco de Dados. - Juliana Alves Pereira; Antônio Maria Pereira de Resende (SBSI, 2012)

Software Variability Management: An Exploratory Study with Two Feature Modeling Tools. - Juliana Alves Pereira; Carlos Souza; Eduardo Figueiredo 001; Ramon Abílio; Gustavo Vale; Heitor Augustus Xavier Costa (SBCARS, 2013)

On the Effectiveness of Concern Metrics to Detect Code Smells: An Empirical Study. - Juliana Padilha; Juliana Alves Pereira; Eduardo Figueiredo 001; Jussara M. Almeida; Alessandro Garcia 001; Cláudio Sant'Anna (CAiSE, 2014)

On the evaluation of an open software engineering course. - Eduardo Figueiredo 001; Juliana Alves Pereira; Lucas Garcia; Luciana Lourdes Silva (FIE, 2014)

A Systematic Literature Review of Software Product Line Management Tools. - Juliana Alves Pereira; Kattiana Constantino; Eduardo Figueiredo 001 (ICSR, 2015)

An Empirical Study of Two Software Product Line Tools. - Kattiana Constantino; Juliana Alves Pereira; Juliana Padilha; Priscilla Vasconcelos; Eduardo Figueiredo 001 (ENASE, 2016)

Quantitative and Qualitative Empirical Analysis of Three Feature Modeling Tools. - Juliana Alves Pereira; Kattiana Constantino; Eduardo Figueiredo 001; Gunter Saake (ENASE (Selected Papers), 2016)

A feature-based personalized recommender system for product-line configuration. - Juliana Alves Pereira; Pawel Matuszyk; Sebastian Krieter; Myra Spiliopoulou; Gunter Saake (GPCE, 2016)

FeatureIDE: Scalable Product Configuration of Variable Systems. - Juliana Alves Pereira; Sebastian Krieter; Jens Meinicke; Reimar Schröter; Gunter Saake; Thomas Leich (ICSR, 2016)

Identification and relationship between notation and tool for feature models with graphic representation. - Gustavo Vale; Ramon Abílio; Juliana Alves Pereira; Eduardo Figueiredo 001; Paulo Afonso Parreira; Heitor A. X. Costa (SCCC, 2016)

Runtime collaborative-based configuration of software product lines. - Juliana Alves Pereira (ICSE (Companion Volume), 2017)

A collaborative-based recommender system for configuration of extended product lines. - Juliana Alves Pereira (ICSE (Companion Volume), 2017)

A survey on scalability and performance concerns in extended product lines configuration. - Lina Ochoa; Juliana Alves Pereira; Oscar González Rojas; Harold E. Castro; Gunter Saake (VaMoS, 2017)

Heuristic and exact algorithms for product configuration in software product lines. - Juliana Alves Pereira; Lucas Maciel 002; Thiago F. Noronha; Eduardo Figueiredo 001 (Int. Trans. Oper. Res., 2017)

Visual guidance for product line configuration using recommendations and non-functional properties. - Juliana Alves Pereira; Jabier Martinez; Hari Kumar Gurudu; Sebastian Krieter; Gunter Saake (SAC, 2018)

N-dimensional tensor factorization for self-configuration of software product lines at runtime. - Juliana Alves Pereira; Sandro Schulze; Eduardo Figueiredo 001; Gunter Saake (SPLC, 2018)

A Context-Aware Recommender System for Extended Software Product Line Configurations. - Juliana Alves Pereira; Sandro Schulze; Sebastian Krieter; Márcio Ribeiro 001; Gunter Saake (VaMoS, 2018)

Personalized recommender systems for product-line configuration processes. - Juliana Alves Pereira; Pawel Matuszyk; Sebastian Krieter; Myra Spiliopoulou; Gunter Saake (Comput. Lang. Syst. Struct., 2018)

A systematic literature review on the semi-automatic configuration of extended product lines. - Lina Ochoa; Oscar González Rojas; Juliana Alves Pereira; Harold Castro; Gunter Saake (J. Syst. Softw., 2018)

Machine learning and configurable systems: a gentle introduction. - Hugo Martin 003; Juliana Alves Pereira; Mathieu Acher; Paul Temple (SPLC (A), 2019)

Towards Lean R&D: An Agile Research and Development Approach for Digital Transformation. - Marcos Kalinowski; Solon Tarso Batista; Hélio Lopes 001; Simone D. J. Barbosa; Marcus Poggi; Thuener Silva; Hugo Villamizar; Jacques Chueke; Bianca Rodrigues Teixeira; Juliana Alves Pereira; Bruna Ferreira; Rodrigo Lima; et al. (SEAA, 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)

Lean R&D: An Agile Research and Development Approach for Digital Transformation. - Marcos Kalinowski; Hélio Lopes 001; Alex Furtado Teixeira; Gabriel da Silva Cardoso; André Kuramoto; Bruno Itagyba; Solon Tarso Batista; Juliana Alves Pereira; Thuener Silva; Jorge Alam Warrak; Marcelo Silva da Costa; Marinho Fischer; et al. (PROFES, 2020)

On the Relation between Complexity, Explicitness, Effectiveness of Refactorings and Non-Functional Concerns. - Vinícius Soares; Anderson Oliveira; Juliana Alves Pereira; Ana Carla Bibiano; Alessandro F. Garcia 001; Paulo Roberto Farah; Silvia Regina Vergilio; Marcelo Schots; Caio Silva; Daniel Coutinho; Daniel Oliveira 005; Anderson G. Uchôa (SBES, 2020)

Brazilian Data Scientists: Revealing their Challenges and Practices on Machine Learning Model Development. - João Lucas Correia; Juliana Alves Pereira; Rafael Maiani de Mello; Alessandro Garcia 001; Baldoino Fonseca; Márcio Ribeiro 001; Rohit Gheyi; Marcos Kalinowski; Renato Cerqueira; Willy Tiengo (SBQS, 2020)

Sampling Effect on Performance Prediction of Configurable Systems: A Case Study. - Juliana Alves Pereira; Mathieu Acher; Hugo Martin 003; Jean-Marc Jézéquel (ICPE, 2020)

Predicting Design Impactful Changes in Modern Code Review: A Large-Scale Empirical Study. - Anderson G. Uchôa; Caio Barbosa; Daniel Coutinho; Willian Nalepa Oizumi; Wesley K. G. Assunção; Silvia Regina Vergilio; Juliana Alves Pereira; Anderson Oliveira; Alessandro F. Garcia 001 (MSR, 2021)

A comparison of performance specialization learning for configurable systems. - Hugo Martin 003; Mathieu Acher; Juliana Alves Pereira; Jean-Marc Jézéquel (SPLC (A), 2021)

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)

Learning software configuration spaces: A systematic literature review. - Juliana Alves Pereira; Mathieu Acher; Hugo Martin 003; Jean-Marc Jézéquel; Goetz Botterweck; Anthony Ventresque (J. Syst. Softw., 2021)

Replication Package for the paper: "Predicting Design Impactful Changes in Modern Code Review: A Large-Scale Empirical Study". - Anderson G. Uchôa; Caio Barbosa; Daniel Coutinho; Willian Nalepa Oizumi; Wesley K. G. Assunção; Silvia R. Vergilio; Juliana Alves Pereira; Anderson Oliveira; Alessandro Garcia 001 (Zenodo, 2021)

Feature subset selection for learning huge configuration spaces: the case of linux kernel size. - Mathieu Acher; Hugo Martin 003; Luc Lesoil; Arnaud Blouin; Jean-Marc Jézéquel; Djamel Eddine Khelladi; Olivier Barais; Juliana Alves Pereira (SPLC (A), 2022)

On the Influential Interactive Factors on Degrees of Design Decay: A Multi-Project Study. - Daniel Coutinho; Anderson G. Uchôa; Caio Barbosa; Vinícius Soares; Alessandro F. Garcia 001; Marcelo Schots; Juliana Alves Pereira; Wesley K. G. Assunção (SANER, 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)

Transfer Learning Across Variants and Versions: The Case of Linux Kernel Size. - Hugo Martin 003; Mathieu Acher; Juliana Alves Pereira; Luc Lesoil; Jean-Marc Jézéquel; Djamel Eddine Khelladi (IEEE Trans. Software Eng., 2022)

Machine Learning for Feature Constraints Discovery. - Hugo Martin 003; Paul Temple; Mathieu Acher; Juliana Alves Pereira; Jean-Marc Jézéquel (Handbook of Re-Engineering Software Intensive Systems into Software Product Lines, 2023)

Don't Forget the Exception! : Considering Robustness Changes to Identify Design Problems. - Anderson Oliveira; João Lucas Correia; Leonardo da Silva Sousa; Wesley K. G. Assunção; Daniel Coutinho; Alessandro F. Garcia 001; Willian Nalepa Oizumi; Caio Barbosa; Anderson G. Uchôa; Juliana Alves Pereira (MSR, 2023)

Analyzing a Semantics-Aware Bug Seeding Tool's Efficacy: A qualitative study with the SemSeed tool. - Vinicius Martins; Camila T. Ramalho; Lucas Cordeiro Marques; Juliana Alves Pereira; Alessandro F. Garcia 001; Carlos Lucena; Bruno Feijó; António L. Furtado 001 (SBES, 2023)

"Looks Good To Me ;-)": Assessing Sentiment Analysis Tools for Pull Request Discussions. - Daniel Coutinho; Luisa Cito; Maria Vitória Lima; Beatriz Arantes; Juliana Alves Pereira; Johny Arriel; João Godinho; Vinicius Martins; Paulo Vítor C. F. Libório; Leonardo Pedrosa Leite; Alessandro Garcia 001; Wesley K. G. Assunção; et al. (EASE, 2024)

Unraveling the Impact of Code Smell Agglomerations on Code Stability. - Amanda Santana; Eduardo Figueiredo 001; Juliana Alves Pereira (ICSME, 2024)

Eyes on Code Smells: Analyzing Developers' Responses During Code Snippet Analysis. - Vinicius Martins; Pedro Lopes Verardo Ramos; Breno Braga Neves; Maria Vitória Lima; Johny Arriel; João Godinho; Joanne Ribeiro; Alessandro Garcia 001; Juliana Alves Pereira (SBES, 2024)

Mental Health and Productivity in Software Development: A Study with the Bravo Central Platform. - Nicolas Paes Leme; Johny Arriel; Alessandro F. Garcia 001; Júlia Azevedo; Theo Sousa; Luana Bueno; João Godinho; Juliana Alves Pereira (SBSI, 2024)

On the Investigation of Exception Pull Request Characteristics: Exploring the Apache Ecosystem. - João Lucas Correia; Daniel Coutinho; Alessandro Garcia 001; Rafael Maiani de Mello; Caio Barbosa; Anderson Oliveira; Wesley K. G. Assunção; Juliana Alves Pereira; Igor Steinmacher; Marco Aurélio Gerosa; Jairo Souza; Johny Arriel (SCAM, 2024)

Understanding Developers' Discussions and Perceptions on Non-functional Requirements: The Case of the Spring Ecosystem. - Anderson Oliveira; João Lucas Correia; Wesley K. G. Assunção; Juliana Alves Pereira; Rafael Maiani de Mello; Daniel Coutinho; Caio Barbosa; Paulo Vítor C. F. Libório; Alessandro Garcia 001 (Proc. ACM Softw. Eng., 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)

An exploratory evaluation of code smell agglomerations. - Amanda Santana; Eduardo Figueiredo 001; Juliana Alves Pereira; Alessandro Garcia 001 (Softw. Qual. J., 2024)

On the Use of GPT to Reveal Common Questions in Developers' Discussions. - Camila T. Ramalho; Alessandro Garcia 001; Juliana Alves Pereira; Wesley K. G. Assunção; Daniel Coutinho; Caio Barbosa; Carlos Lucena; Rodrigo Ito (COMPSAC, 2025)

Overcoming Obstacles: Challenges of Gender Inequality in Undergraduate ICT Programs. - Angelica Pereira Souza; Anderson G. Uchôa; Edna Dias Canedo; Juliana Alves Pereira; Claudia Pinto Pereira; Larissa Rocha 002 (GEICSE@ICSE, 2025)

Unveiling the Impact of Sampling on Feature Selection for Performance Prediction in Configurable Systems. - João Marcello Bessal; Millena Cavalcanti; Mathieu Acher; Markus Endler; Juliana Alves Pereira (ICSR, 2025)

Data Privacy in Software Practice: Brazilian Developers' Perspectives. - Aryely Matos; Mario Patrício; Maria Isabel Nicolau; Edna Dias Canedo; Juliana Alves Pereira; Anderson G. Uchôa (J. Internet Serv. Appl., 2025)

Linux Kernel Configurations at Scale: A Dataset for Performance and Evolution Analysis. - Heraldo Borges; Juliana Alves Pereira; Djamel Eddine Khelladi; Mathieu Acher (CoRR, 2025)