Baldoino Fonseca dos Santos Neto

Orcid: 0000-0002-0730-0319

According to our database1, Baldoino Fonseca dos Santos Neto authored at least 72 papers between 2009 and 2024.

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

Timeline

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Bibliography

2024
Investigating the Social Representations of Harmful Code.
J. Softw. Eng. Res. Dev., 2024

On the Effectiveness of LLMs for Manual Test Verifications.
CoRR, 2024

Exception Miner: Multi-language Static Analysis Tool to Identify Exception Handling Anti-Patterns.
Proceedings of the 38th Brazilian Symposium on Software Engineering, 2024

"Looks Good To Me ;-)": Assessing Sentiment Analysis Tools for Pull Request Discussions.
Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering, 2024

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

Towards a better understanding of the mechanics of refactoring detection tools.
Inf. Softw. Technol., 2023

Seeing confusion through a new lens: on the impact of atoms of confusion on novices' code comprehension.
Empir. Softw. Eng., 2023

Siamese Convolutional Neural Network for Heartbeat Classification Using Limited 12-Lead ECG Datasets.
IEEE Access, 2023

Do you see any problem? On the Developers Perceptions in Test Smells Detection.
Proceedings of the XXII Brazilian Symposium on Software Quality, 2023

Is your code harmful too? Understanding harmful code through transfer learning.
Proceedings of the XXII Brazilian Symposium on Software Quality, 2023

The untold story of code refactoring customizations in practice.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Manual Tests Do Smell! Cataloging and Identifying Natural Language Test Smells.
Proceedings of the ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2023

Beyond the Code: Investigating the Effects of Pull Request Conversations on Design Decay.
Proceedings of the ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2023

2022
Developers' viewpoints to avoid bug-introducing changes.
Inf. Softw. Technol., 2022

Developers' perception matters: machine learning to detect developer-sensitive smells.
Empir. Softw. Eng., 2022

Lint-Based Warnings in Python Code: Frequency, Awareness and Refactoring.
Proceedings of the 22nd IEEE International Working Conference on Source Code Analysis and Manipulation, 2022

2021
Identifying method-level mutation subsumption relations using Z3.
Inf. Softw. Technol., 2021

Evaluating refactorings for disciplining #ifdef annotations: An eye tracking study with novices.
Empir. Softw. Eng., 2021

Look Ahead! Revealing Complete Composite Refactorings and their Smelliness Effects.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2021

Decoding Confusing Code: Social Representations among Developers.
Proceedings of the 14th IEEE/ACM International Workshop on Cooperative and Human Aspects of Software Engineering, 2021

2020
Mutating code annotations: An empirical evaluation on Java and C# programs.
Sci. Comput. Program., 2020

On Relating Technical, Social Factors, and the Introduction of Bugs.
Proceedings of the 27th IEEE International Conference on Software Analysis, 2020

Refactoring from 9 to 5? What and When Employees and Volunteers Contribute to OSS.
Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing, 2020

Establishing a relationship between industry and academia: challenges, lessons learned and benefits.
Proceedings of the 19th Brazilian Symposium on Software Quality, 2020

Brazilian Data Scientists: Revealing their Challenges and Practices on Machine Learning Model Development.
Proceedings of the 19th Brazilian Symposium on Software Quality, 2020

Atoms of Confusion: The Eyes Do Not Lie.
Proceedings of the 34th Brazilian Symposium on Software Engineering, 2020

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

Understanding and Detecting Harmful Code.
Proceedings of the 34th Brazilian Symposium on Software Engineering, 2020

Revealing the Social Aspects of Design Decay: A Retrospective Study of Pull Requests.
Proceedings of the 34th Brazilian Symposium on Software Engineering, 2020

Refactoring Test Smells: A Perspective from Open-Source Developers.
Proceedings of the SAST 20: 5th Brazilian Symposium on Systematic and Automated Software Testing, 2020

How Does Incomplete Composite Refactoring Affect Internal Quality Attributes?
Proceedings of the ICPC '20: 28th International Conference on Program Comprehension, 2020

On the Performance and Adoption of Search-Based Microservice Identification with toMicroservices.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020

Search-based many-criteria identification of microservices from legacy systems.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Is Exceptional Behavior Testing an Exception?: An Empirical Assessment Using Java Automated Tests.
Proceedings of the EASE '20: Evaluation and Assessment in Software Engineering, 2020

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

Quantitative comparison of unsupervised anomaly detection algorithms for intrusion detection.
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

On gamifying an existing healthcare system: method, conceptual model and evaluation.
Proceedings of the 1st International Workshop on Software Engineering for Healthcare, 2019

Investigating the social representations of code smell identification: a preliminary study.
Proceedings of the 12th International Workshop on Cooperative and Human Aspects of Software Engineering, 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

Software Engineering Research Community Viewpoints on Rapid Reviews.
Proceedings of the 2019 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2019

A Quantitative Study on Characteristics and Effect of Batch Refactoring on Code Smells.
Proceedings of the 2019 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2019

2018
Discipline Matters: Refactoring of Preprocessor Directives in the #ifdef Hell.
IEEE Trans. Software Eng., 2018

Are you smelling it? Investigating how similar developers detect code smells.
Inf. Softw. Technol., 2018

On Relating Technical, Social Factors, and the Introduction of Bugs.
CoRR, 2018

A Qualitative Analysis of Variability Weaknesses in Configurable Systems with #ifdefs.
Proceedings of the 12th International Workshop on Variability Modelling of Software-Intensive Systems, 2018

Mutation Operators for Code Annotations.
Proceedings of the III Brazilian Symposium on Systematic and Automated Software Testing, 2018

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

The buggy side of code refactoring: understanding the relationship between refactorings and bugs.
Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018

Analyzing Social Network Images with Deep Learning Models to Fight Zika Virus.
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018

2017
Evaluating the effectiveness of educational data mining techniques for early prediction of students' academic failure in introductory programming courses.
Comput. Hum. Behav., 2017

Understanding the impact of refactoring on smells: a longitudinal study of 23 software projects.
Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering, 2017

Smells are sensitive to developers!: on the efficiency of (un)guided customized detection.
Proceedings of the 25th International Conference on Program Comprehension, 2017

Evaluating the Accuracy of Machine Learning Algorithms on Detecting Code Smells for Different Developers.
Proceedings of the ICEIS 2017, 2017

2016
Assessing fine-grained feature dependencies.
Inf. Softw. Technol., 2016

Experimenting Machine Learning Techniques to Predict Vulnerabilities.
Proceedings of the 2016 Seventh Latin-American Symposium on Dependable Computing, 2016

Software Metrics and Security Vulnerabilities: Dataset and Exploratory Study.
Proceedings of the 12th European Dependable Computing Conference, 2016

Code Change History and Software Vulnerabilities.
Proceedings of the 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2016

2015
AutoRefactoring: A platform to build refactoring agents.
Expert Syst. Appl., 2015

A decision-making tool to support architectural designs based on quality attributes.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Using developers' feedback to improve code smell detection.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Experience report: Evaluating the effectiveness of decision trees for detecting code smells.
Proceedings of the 26th IEEE International Symposium on Software Reliability Engineering, 2015

A predictive model for identifying students with dropout profiles in online courses.
Proceedings of the Workshops Proceedings of EDM 2015 8th International Conference on Educational Data Mining, 2015

2014
A Catalogue of Refactorings to Remove Incomplete Annotations.
J. Univers. Comput. Sci., 2014

2013
Towards an Agent-Based Approach for Automatic Generation of Researcher Profiles Using Multiple Data Sources.
Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2013

Using Jason to Develop Refactoring Agents.
Proceedings of the Brazilian Conference on Intelligent Systems, 2013

2012
An Architectural Model for Autonomous Normative Agents.
Proceedings of the Advances in Artificial Intelligence - SBIA 2012, 2012

2011
Developing Goal-Oriented Normative Agents: The NBDI Architecture.
Proceedings of the Agents and Artificial Intelligence - Third International Conference, 2011

NBDI: An Architecture for Goal-oriented Normative Agents.
Proceedings of the ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence, Volume 1, 2011

2010
Using Jason to Develop Normative Agents.
Proceedings of the Advances in Artificial Intelligence - SBIA 2010, 2010

JAAF+T: a framework to implement self-adaptive agents that apply self-test.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

2009
JAAF: A Framework to Implement Self-adaptive Agents.
Proceedings of the 21st International Conference on Software Engineering & Knowledge Engineering (SEKE'2009), 2009

JAAF-S: A Framework to Implement Autonomic Agents Able to Deal with Web Services.
Proceedings of the ICSOFT 2009, 2009


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