Leonardo Fernandes

According to our database, Leonardo Fernandes authored at least 14 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2025

Fuzz Smarter, Not Harder: Towards Greener Fuzzing with GreenAFL.

Ayse Irmak Ercevik, Aidan Dakhama, Melane Navaratnarajah, Yazhuo Cao, Leo Fernandes

Proceedings of the Search-Based Software Engineering, 2025

AI-Driven Reliability Through Anomaly Detection System in Industry 4.0.

Igor Wiese, George da Silva B. Souza, Jairo Souza, Leo Fernandes, Maria Eduarda T. S. Ikeda, Daniel Oliveira dos Santos, Ismael Trindade Fraga, Renato Torres Pinto, Erick A. Barboza, Baldoino Fonseca, Márcio Ribeiro

Proceedings of the 36th IEEE International Symposium on Software Reliability Engineering, ISSRE 2025, 2025

Case Study: Applying Fuzzing to REST APIs in a Large-Scale Industrial Setting.

Leo Fernandes, João Vitor Souza Rocha, Igor Wiese, João Lucas Correia, Ismael Trindade Fraga, Renato Torres Pinto, Erick A. Barboza, Baldoino Fonseca, Márcio Ribeiro

Proceedings of the 36th IEEE International Symposium on Software Reliability Engineering, ISSRE 2025, 2025

2024

Reducing Manual Efforts in Equivalence Analysis in Mutation Testing.

Samuel Amorim, Leo Fernandes, Márcio Ribeiro, Rohit Gheyi, Márcio E. Delamaro, Marcio Augusto Guimarães, André L. M. Santos

J. Softw. Eng. Res. Dev., 2024

2022

Put Your Hands In The Air! Reducing Manual Effort in Mutation Testing.

Leo Fernandes, Márcio Ribeiro, Rohit Gheyi, Márcio E. Delamaro, Marcio Augusto Guimarães, André L. M. Santos

Proceedings of the SBES 2022: XXXVI Brazilian Symposium on Software Engineering, Virtual Event Brazil, October 5, 2022

2021

Identifying method-level mutation subsumption relations using Z3.

Rohit Gheyi, Márcio Ribeiro, Beatriz Souza, Marcio Augusto Guimarães, Leo Fernandes, Marcelo d'Amorim, Vander Alves, Leopoldo Teixeira, Baldoino Fonseca

Inf. Softw. Technol., 2021

2020

Mutating code annotations: An empirical evaluation on Java and C# programs.

Pedro Pinheiro, José Carlos Viana, Márcio Ribeiro, Leonardo Fernandes, Fabiano Cutigi Ferrari, Rohit Gheyi, Baldoino Fonseca

Sci. Comput. Program., 2020

Refactoring Test Smells: A Perspective from Open-Source Developers.

Elvys Soares, Márcio Ribeiro, Guilherme Amaral, Rohit Gheyi, Leo Fernandes, Alessandro Garcia, Baldoino Fonseca, André L. M. Santos

Proceedings of the SAST 20: 5th Brazilian Symposium on Systematic and Automated Software Testing, 2020

Optimizing Mutation Testing by Discovering Dynamic Mutant Subsumption Relations.

Marcio Augusto Guimarães, Leonardo Fernandes, Márcio Ribeiro, Marcelo d'Amorim, Rohit Gheyi

Proceedings of the 13th IEEE International Conference on Software Testing, 2020

Is Exceptional Behavior Testing an Exception?: An Empirical Assessment Using Java Automated Tests.

Francisco Dalton, Márcio Ribeiro, Gustavo Pinto, Leonardo Fernandes, Rohit Gheyi, Baldoino Fonseca

Proceedings of the EASE '20: Evaluation and Assessment in Software Engineering, 2020

2019

A systematic literature review of techniques and metrics to reduce the cost of mutation testing.

Alessandro Viola Pizzoleto, Fabiano Cutigi Ferrari, Jeff Offutt, Leonardo Fernandes, Márcio Ribeiro

J. Syst. Softw., 2019

2018

Equivalent Mutants in Configurable Systems: An Empirical Study.

Luiz Carvalho, Marcio Augusto Guimarães, Márcio Ribeiro, Leonardo Fernandes, Mustafa Al-Hajjaji, Rohit Gheyi, Thomas Thüm

Proceedings of the 12th International Workshop on Variability Modelling of Software-Intensive Systems, 2018

Mutation Operators for Code Annotations.

Pedro Pinheiro, José Carlos Viana, Leonardo Fernandes, Márcio Ribeiro, Fabiano Cutigi Ferrari, Baldoino Fonseca, Rohit Gheyi

Proceedings of the III Brazilian Symposium on Systematic and Automated Software Testing, 2018

2017

Avoiding useless mutants.

Leonardo Fernandes, Márcio Ribeiro, Luiz Carvalho, Rohit Gheyi, Melina Mongiovi, André L. M. Santos, Ana Cavalcanti, Fabiano Cutigi Ferrari, José Carlos Maldonado

Proceedings of the 16th ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences, 2017