Bruno Luan de Sousa

Orcid: 0000-0002-8217-3524

According to our database1, Bruno Luan de Sousa authored at least 13 papers between 2017 and 2024.

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

Timeline

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Bibliography

2024
Evolution of internal dimensions in object-oriented software-A time series based approach.
Softw. Pract. Exp., 2024

2022
A Time Series-Based Dataset of Open-Source Software Evolution.
Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 2022

2021
Characterizing the Evolution of Size and Inheritance in Object-Oriented Software.
Proceedings of the SBQS '21: XX Brazilian Symposium on Software Quality, Virtual Event, Brazil, November 8, 2021

2020
A Brief History of Bioinformatics Told by Data Visualization.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2020

2019
An exploratory study on cooccurrence of design patterns and bad smells using software metrics.
Softw. Pract. Exp., 2019

The usefulness of software metric thresholds for detection of bad smells and fault prediction.
Inf. Softw. Technol., 2019

Software Engineering Evolution: The History Told by ICSE.
Proceedings of the XXXIII Brazilian Symposium on Software Engineering, 2019

Analysis of Coupling Evolution on Open Source Systems.
Proceedings of the XIII Brazilian Symposium on Software Components, 2019

2018
A systematic literature mapping on the relationship between design patterns and bad smells.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

2017
Evaluating Co-Occurrence of GOF Design Patterns with God Class and Long Method Bad Smells.
Proceedings of the 13th Brazilian Symposium on Information Systems, 2017

The Register Allocation and Instruction Scheduling Challenge.
Proceedings of the 21st Brazilian Symposium on Programming Languages, 2017

Applying software metric thresholds for detection of bad smells.
Proceedings of the 11th Brazilian Symposium on Software Components, 2017

FindSmells: flexible composition of bad smell detection strategies.
Proceedings of the 25th International Conference on Program Comprehension, 2017


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