Dong Wang
Orcid: 0000-0002-2004-0902Affiliations:
- 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.
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Bibliography
2025
Developer reactions to protestware in open source software: the cases of color.js and es5.ext.
Empir. Softw. Eng., March, 2025
2024
ACM Trans. Softw. Eng. Methodol., November, 2024
Empir. Softw. Eng., July, 2024
Quantifying and characterizing clones of self-admitted technical debt in build systems.
Empir. Softw. Eng., April, 2024
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
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2024
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
Empir. Softw. Eng., October, 2023
Giving Back: Contributions Congruent to Library Dependency Changes in a Software Ecosystem.
IEEE Trans. Software Eng., April, 2023
IEICE Trans. Inf. Syst., February, 2023
Proceedings of the IEEE International Conference on Software Analysis, 2023
Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023
2022
IEEE Trans. Software Eng., 2022
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
CoRR, 2021
Automatic Patch Linkage Detection in Code Review Using TextualContent and File Location Features.
CoRR, 2021
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
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
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
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020
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