Dong Wang

Orcid: 0000-0002-2004-0902

Affiliations:
  • Tianjin University, Software Analysis and Intelligence Lab, Nanjing, China
  • Kyushu University, Fukuoka, Japan
  • Nara Institute of Science and Technology, Ikoma, Japan (PhD 2022)


According to our database1, Dong Wang authored at least 36 papers between 2018 and 2025.

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

Timeline

2018
2019
2020
2021
2022
2023
2024
2025
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Legend:

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In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2025
Developer reactions to protestware in open source software: the cases of color.js and es5.ext.
Empir. Softw. Eng., March, 2025

2024
A Disruptive Research Playbook for Studying Disruptive Innovations.
ACM Trans. Softw. Eng. Methodol., November, 2024

Understanding the characteristics and the role of visual issue reports.
Empir. Softw. Eng., July, 2024

Quantifying and characterizing clones of self-admitted technical debt in build systems.
Empir. Softw. Eng., April, 2024

Selecting Initial Seeds for Better JVM Fuzzing.
CoRR, 2024

GitRev: An LLM-Based Gamification Framework for Modern Code Review Activities.
Proceedings of the IEEE International Conference on Source Code Analysis and Manipulation, 2024

Exploring the Effect of Multiple Natural Languages on Code Suggestion Using GitHub Copilot.
Proceedings of the 21st IEEE/ACM International Conference on Mining Software Repositories, 2024

Large Language Models for Equivalent Mutant Detection: How Far Are We?
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

Towards Identifying Code Proficiency Through the Analysis of Python Textbooks.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2024

Going Viral: Case Studies on the Impact of Protestware.
Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

2023
When conversations turn into work: a taxonomy of converted discussions and issues in GitHub.
Empir. Softw. Eng., November, 2023

More than React: Investigating the Role of Emoji Reaction in GitHub Pull Requests.
Empir. Softw. Eng., October, 2023

Giving Back: Contributions Congruent to Library Dependency Changes in a Software Ecosystem.
IEEE Trans. Software Eng., April, 2023

An Exploration of Cross-Patch Collaborations via Patch Linkage in OpenStack.
IEICE Trans. Inf. Syst., February, 2023

Towards Privacy Preserving Cross Project Defect Prediction with Federated Learning.
Proceedings of the IEEE International Conference on Software Analysis, 2023

Understanding the Role of Images on Stack Overflow.
Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

Repeated Builds During Code Review: An Empirical Study of the OpenStack Community.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

2022
Characterizing and Mitigating Self-Admitted Technical Debt in Build Systems.
IEEE Trans. Software Eng., 2022

An Exploration of npm Package Co-Usage Examples from Stack Overflow: A Case Study.
IEICE Trans. Inf. Syst., 2022

Newcomer OSS-Candidates: Characterizing Contributions of Novice Developers to GitHub.
Empir. Softw. Eng., 2022

2021
Can we benchmark Code Review studies? A systematic mapping study of methodology, dataset, and metric.
J. Syst. Softw., 2021

Automatic patch linkage detection in code review using textual content and file location features.
Inf. Softw. Technol., 2021

Understanding shared links and their intentions to meet information needs in modern code review.
Empir. Softw. Eng., 2021

More Than React: Investigating The Role of EmojiReaction in GitHub Pull Requests.
CoRR, 2021

Automatic Patch Linkage Detection in Code Review Using TextualContent and File Location Features.
CoRR, 2021

Characterizing and Mitigating Self-Admitted Build Debt.
CoRR, 2021

Anti-patterns in Modern Code Review: Symptoms and Prevalence.
Proceedings of the 28th IEEE International Conference on Software Analysis, 2021

Exploring Feasibility of Truth-Involved Automatic Sleep Staging Combined with Transformer.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

An Integrated Multi-Omics Approach for AMR Phenotype Prediction of Gut Microbiota.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

An End-to-End Sleep Staging Simulator Based on Mixed Deep Neural Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
A Case Study for Software Quality Evaluation Based on SCT Model With BP Neural Network.
IEEE Access, 2020

Newcomer Candidate: Characterizing Contributions of a Novice Developer to GitHub.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020

2019
The Evolution of Code Review Research: A Systematic Mapping Study.
CoRR, 2019

Visualizing the Usage of Pythonic Idioms Over Time: A Case Study of the with open Idiom.
Proceedings of the 10th International Workshop on Empirical Software Engineering in Practice, 2019

How Do Contributors Impact Code Naturalness? An Exploratory Study of 50 Python Projects.
Proceedings of the 10th International Workshop on Empirical Software Engineering in Practice, 2019

2018
An Exploratory Study to Identify Similar Patches: A Case Study in Modern Code Review.
Proceedings of the 25th Asia-Pacific Software Engineering Conference, 2018


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