Willian Nalepa Oizumi

Orcid: 0000-0002-8956-5272

According to our database1, Willian Nalepa Oizumi authored at least 34 papers between 2012 and 2023.

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

Timeline

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Bibliography

2023
Recommendations for Developers Identifying Code Smells.
IEEE Softw., 2023

Don't Forget the Exception! : Considering Robustness Changes to Identify Design Problems.
Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

2022
OPLA-Tool-ASP: a Tool to Prevent Architectural Smells in Search-based Product Line Architecture Design.
J. Softw. Eng. Res. Dev., 2022

Smell Patterns as Indicators of Design Degradation: Do Developers Agree?
Proceedings of the SBES 2022: XXXVI Brazilian Symposium on Software Engineering, Virtual Event Brazil, October 5, 2022

2021
Replication Package for the paper: "Predicting Design Impactful Changes in Modern Code Review: A Large-Scale Empirical Study".
Dataset, February, 2021

Predicting Design Impactful Changes in Modern Code Review: A Large-Scale Empirical Study.
Proceedings of the 18th IEEE/ACM International Conference on Mining Software Repositories, 2021

2020
Replication Package for the paper: "How Does Modern Code Review Impact Software Design Degradation? An In-depth Empirical Study".
Dataset, August, 2020

Refactoring effect on internal quality attributes: What haven't they told you yet?
Inf. Softw. Technol., 2020

Applying Machine Learning to Customized Smell Detection: A Multi-Project Study.
Proceedings of the 34th Brazilian Symposium on Software Engineering, 2020

Recommending Composite Refactorings for Smell Removal: Heuristics and Evaluation.
Proceedings of the 34th Brazilian Symposium on Software Engineering, 2020

Characterizing and Identifying Composite Refactorings: Concepts, Heuristics and Patterns.
Proceedings of the MSR '20: 17th International Conference on Mining Software Repositories, 2020

When Are Smells Indicators of Architectural Refactoring Opportunities: A Study of 50 Software Projects.
Proceedings of the ICPC '20: 28th International Conference on Program Comprehension, 2020

How Does Modern Code Review Impact Software Design Degradation? An In-depth Empirical Study.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020

Prevenção de Anomalias Arquiteturais na Otimização de Projeto de Linha de Produto.
Proceedings of the XXIII Iberoamerican Conference on Software Engineering, 2020

2019
Ranking architecturally critical agglomerations of code smells.
Sci. Comput. Program., 2019

Investigating the Social Representations of the Identification of Code Smells by Practitioners and Students from Brazil.
Proceedings of the XXXIII Brazilian Symposium on Software Engineering, 2019

On the Prioritization of Design-Relevant Smelly Elements: A Mixed-Method, Multi-Project Study.
Proceedings of the XIII Brazilian Symposium on Software Components, 2019

Removal of design problems through refactorings: are we looking at the right symptoms?
Proceedings of the 27th International Conference on Program Comprehension, 2019

On the Density and Diversity of Degradation Symptoms in Refactored Classes: A Multi-case Study.
Proceedings of the 30th IEEE International Symposium on Software Reliability Engineering, 2019

Recommendation of Refactorings for Improving Dependability Attributes.
Proceedings of the IEEE International Symposium on Software Reliability Engineering Workshops, 2019

Do Research and Practice of Code Smell Identification Walk Together? A Social Representations Analysis.
Proceedings of the 2019 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2019

2018
On the identification of design problems in stinky code: experiences and tool support.
J. Braz. Comput. Soc., 2018

On Identifying Architectural Smells in Search-based Product Line Designs.
Proceedings of the VII Brazilian Symposium on Software Components, 2018

Identifying design problems in the source code: a grounded theory.
Proceedings of the 40th International Conference on Software Engineering, 2018

2017
How Do Software Developers Identify Design Problems?: A Qualitative Analysis.
Proceedings of the 31st Brazilian Symposium on Software Engineering, 2017

Revealing design problems in stinky code: a mixed-method study.
Proceedings of the 11th Brazilian Symposium on Software Components, 2017

2016
Identifying Architectural Problems through Prioritization of Code Smells.
Proceedings of the 2016 X Brazilian Symposium on Software Components, 2016

On the criteria for prioritizing code anomalies to identify architectural problems.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

Code anomalies flock together: exploring code anomaly agglomerations for locating design problems.
Proceedings of the 38th International Conference on Software Engineering, 2016

2015
On the relationship of code-anomaly agglomerations and architectural problems.
J. Softw. Eng. Res. Dev., 2015

JSpIRIT: a flexible tool for the analysis of code smells.
Proceedings of the 34th International Conference of the Chilean Computer Science Society, 2015

2014
A search-based approach for software product line design.
Proceedings of the 18th International Software Product Line Conference, 2014

When Code-Anomaly Agglomerations Represent Architectural Problems? An Exploratory Study.
Proceedings of the 2014 Brazilian Symposium on Software Engineering, Maceió, Brazil, September 28, 2014

2012
On the Proactive Design of Product-Line Architectures with Aspects: An Exploratory Study.
Proceedings of the 36th Annual IEEE Computer Software and Applications Conference, 2012


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