Laerte Xavier

Orcid: 0000-0001-7925-4115

According to our database1, Laerte Xavier authored at least 14 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Agile Technical Debt Management using the LTD Framework.
ACM SIGSOFT Softw. Eng. Notes, January, 2024

2023
Caracterização da população LGBTQIA+ na plataforma GitHub.
Proceedings of the XI Workshop on Software Visualization, Evolution and Maintenance, 2023

2022
Comments or Issues: Where to Document Technical Debt.
IEEE Softw., 2022

On the documentation of self-admitted technical debt in issues.
Empir. Softw. Eng., 2022

Entendendo o engajamento das comunidades front-end e back-end nos repositórios do GitHub.
Proceedings of the X Workshop on Software Visualization, Evolution and Maintenance, 2022

Together or Apart? Investigating a mediator bot to aggregate bot's comments on pull requests.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2022

2021
Comments or Issues: Where to Document Technical Debt?
Dataset, November, 2021

2020
You broke my code: understanding the motivations for breaking changes in APIs.
Empir. Softw. Eng., 2020

Analisando Estratégias para Identificação de Dívidas Técnicas.
Proceedings of the VIII Workshop on Software Visualization, Evolution and Maintenance, 2020

Beyond the Code: Mining Self-Admitted Technical Debt in Issue Tracker Systems.
Proceedings of the MSR '20: 17th International Conference on Mining Software Repositories, 2020

2018
APIDiff: Detecting API breaking changes.
Proceedings of the 25th International Conference on Software Analysis, 2018

Why and how Java developers break APIs.
Proceedings of the 25th International Conference on Software Analysis, 2018

2017
Why do we break APIs? First answers from developers.
Proceedings of the IEEE 24th International Conference on Software Analysis, 2017

Historical and impact analysis of API breaking changes: A large-scale study.
Proceedings of the IEEE 24th International Conference on Software Analysis, 2017


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