Dong Wang

According to our database, Dong Wang authored at least 41 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

An empirical study of test case prioritization on the Linux Kernel.

Haichi Wang, Ruiguo Yu, Dong Wang, Yiheng Du, Yingquan Zhao, Junjie Chen, Zan Wang

Autom. Softw. Eng., November, 2025

A Survey of Reinforcement Learning for Software Engineering.

Dong Wang, Hanmo You, Lingwei Zhu, Kaiwei Lin, Zheng Chen, Chen Yang, Junji Yu, Zan Wang, Junjie Chen

CoRR, July, 2025

Large Language Models for Multilingual Vulnerability Detection: How Far Are We?

Honglin Shu, Michael Fu, Junji Yu, Dong Wang, Chakkrit Tantithamthavorn, Junjie Chen, Yasutaka Kamei

CoRR, June, 2025

Developer reactions to protestware in open source software: the cases of color.js and es5.ext.

Youmei Fan, Dong Wang, Supatsara Wattanakriengkrai, Hathaichanok Damrongsiri, Christoph Treude, Hideaki Hata, Raula Gaikovina Kula

Empir. Softw. Eng., March, 2025

A Preliminary Study of Large Language Models for Multilingual Vulnerability Detection.

Junji Yu, Honglin Shu, Michael Fu, Dong Wang, Chakkrit Tantithamthavorn, Yasutaka Kamei, Junjie Chen

Proceedings of the 34th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2025

Selecting Initial Seeds for Better JVM Fuzzing.

Tianchang Gao, Junjie Chen, Dong Wang, Yile Guo, Yingquan Zhao, Zan Wang

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

Building BRIDGES across Papua New Guinea's Digital Divide in Growing the ICT Industry.

Marc Cheong, Sankwi Abuzo, Hideaki Hata, Priscilla Kevin, Winifred Kula, Benson Mirou, Christoph Treude, Dong Wang, Raula Gaikovina Kula

Proceedings of the IEEE/ACM Symposium on Software Engineering in the Global South, 2025

2024

A Disruptive Research Playbook for Studying Disruptive Innovations.

Margaret-Anne D. Storey, Daniel Russo, Nicole Novielli, Takashi Kobayashi, Dong Wang

ACM Trans. Softw. Eng. Methodol., November, 2024

Understanding the characteristics and the role of visual issue reports.

Hiroki Kuramoto, Dong Wang, Masanari Kondo, Yutaro Kashiwa, Yasutaka Kamei, Naoyasu Ubayashi

Empir. Softw. Eng., July, 2024

Quantifying and characterizing clones of self-admitted technical debt in build systems.

Tao Xiao, Zhili Zeng, Dong Wang, Hideaki Hata, Shane McIntosh, Kenichi Matsumoto

Empir. Softw. Eng., April, 2024

GitRev: An LLM-Based Gamification Framework for Modern Code Review Activities.

Jasem Khelifi, Moataz Chouchen, Ali Ouni, Dong Wang, Raula Gaikovina Kula, Salma Hamza, Mohamed Wiem Mkaouer

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.

Kei Koyanagi, Dong Wang, Kotaro Noguchi, Masanari Kondo, Alexander Serebrenik, Yasutaka Kamei, Naoyasu Ubayashi

Proceedings of the 21st IEEE/ACM International Conference on Mining Software Repositories, 2024

Large Language Models for Equivalent Mutant Detection: How Far Are We?

Zhao Tian, Honglin Shu, Dong Wang, Xuejie Cao, Yasutaka Kamei, Junjie Chen

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

Towards Identifying Code Proficiency Through the Analysis of Python Textbooks.

Ruksit Rojpaisarnkit, Gregorio Robles, Raula Gaikovina Kula, Dong Wang, Chaiyong Ragkhitwetsagul, Jesús M. González-Barahona, Kenichi Matsumoto

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2024

Going Viral: Case Studies on the Impact of Protestware.

Youmei Fan, Dong Wang, Supatsara Wattanakriengkrai, Hathaichanok Damrongsiri, Christoph Treude, Hideaki Hata, Raula Gaikovina Kula

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.

Dong Wang, Masanari Kondo, Yasutaka Kamei, Raula Gaikovina Kula, Naoyasu Ubayashi

Empir. Softw. Eng., November, 2023

More than React: Investigating the Role of Emoji Reaction in GitHub Pull Requests.

Dong Wang, Tao Xiao, Teyon Son, Raula Gaikovina Kula, Takashi Ishio, Yasutaka Kamei, Kenichi Matsumoto

Empir. Softw. Eng., October, 2023

Giving Back: Contributions Congruent to Library Dependency Changes in a Software Ecosystem.

Supatsara Wattanakriengkrai, Dong Wang, Raula Gaikovina Kula, Christoph Treude, Patanamon Thongtanunam, Takashi Ishio, Kenichi Matsumoto

IEEE Trans. Software Eng., April, 2023

An Exploration of Cross-Patch Collaborations via Patch Linkage in OpenStack.

Dong Wang, Patanamon Thongtanunam, Raula Gaikovina Kula, Kenichi Matsumoto

IEICE Trans. Inf. Syst., February, 2023

Towards Privacy Preserving Cross Project Defect Prediction with Federated Learning.

Hiroki Yamamoto, Dong Wang, Gopi Krishnan Rajbahadur, Masanari Kondo, Yasutaka Kamei, Naoyasu Ubayashi

Proceedings of the IEEE International Conference on Software Analysis, 2023

Understanding the Role of Images on Stack Overflow.

Dong Wang, Tao Xiao, Christoph Treude, Raula Gaikovina Kula, Hideaki Hata, Yasutaka Kamei

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.

Rungroj Maipradit, Dong Wang, Patanamon Thongtanunam, Raula Gaikovina Kula, Yasutaka Kamei, Shane McIntosh

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

2022

Characterizing and Mitigating Self-Admitted Technical Debt in Build Systems.

Tao Xiao, Dong Wang, Shane McIntosh, Hideaki Hata, Raula Gaikovina Kula, Takashi Ishio, Kenichi Matsumoto

IEEE Trans. Software Eng., 2022

An Exploration of npm Package Co-Usage Examples from Stack Overflow: A Case Study.

Syful Islam, Dong Wang, Raula Gaikovina Kula, Takashi Ishio, Kenichi Matsumoto

IEICE Trans. Inf. Syst., 2022

Newcomer OSS-Candidates: Characterizing Contributions of Novice Developers to GitHub.

Ifraz Rehman, Dong Wang, Raula Gaikovina Kula, Takashi Ishio, Kenichi Matsumoto

Empir. Softw. Eng., 2022

2021

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

Dong Wang, Yuki Ueda, Raula Gaikovina Kula, Takashi Ishio, Kenichi Matsumoto

J. Syst. Softw., 2021

Automatic patch linkage detection in code review using textual content and file location features.

Dong Wang, Raula Gaikovina Kula, Takashi Ishio, Kenichi Matsumoto

Inf. Softw. Technol., 2021

Understanding shared links and their intentions to meet information needs in modern code review.

Dong Wang, Tao Xiao, Patanamon Thongtanunam, Raula Gaikovina Kula, Kenichi Matsumoto

Empir. Softw. Eng., 2021

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

Teyon Son, Tao Xiao, Dong Wang, Raula Gaikovina Kula, Takashi Ishio, Kenichi Matsumoto

CoRR, 2021

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

Dong Wang, Raula Gaikovina Kula, Takashi Ishio, Kenichi Matsumoto

CoRR, 2021

Characterizing and Mitigating Self-Admitted Build Debt.

Tao Xiao, Dong Wang, Shane McIntosh, Hideaki Hata, Raula Gaikovina Kula, Takashi Ishio, Kenichi Matsumoto

CoRR, 2021

Anti-patterns in Modern Code Review: Symptoms and Prevalence.

Moataz Chouchen, Ali Ouni, Raula Gaikovina Kula, Dong Wang, Patanamon Thongtanunam, Mohamed Wiem Mkaouer, Kenichi Matsumoto

Proceedings of the 28th IEEE International Conference on Software Analysis, 2021

Exploring Feasibility of Truth-Involved Automatic Sleep Staging Combined with Transformer.

Ziwei Yang, Dong Wang, Zheng Chen, Ming Huang, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

An Integrated Multi-Omics Approach for AMR Phenotype Prediction of Gut Microbiota.

Pei Gao, Zheng Chen, Dong Wang, Ming Huang, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

An End-to-End Sleep Staging Simulator Based on Mixed Deep Neural Networks.

Zheng Chen, Ziwei Yang, Dong Wang, Ming Huang, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya

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.

Ben Yan, Hua-Ping Yao, Masahide Nakamura, Zhi-Feng Li, Dong Wang

IEEE Access, 2020

Newcomer Candidate: Characterizing Contributions of a Novice Developer to GitHub.

Ifraz Rehman, Dong Wang, Raula Gaikovina Kula, Takashi Ishio, Kenichi Matsumoto

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020

2019

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

Dong Wang, Yuki Ueda, Raula Gaikovina Kula, Takashi Ishio, Kenichi Matsumoto

CoRR, 2019

Visualizing the Usage of Pythonic Idioms Over Time: A Case Study of the with open Idiom.

Tattiya Sakulniwat, Raula Gaikovina Kula, Chaiyong Ragkhitwetsagul, Morakot Choetkiertikul, Thanwadee Sunetnanta, Dong Wang, Takashi Ishio, Kenichi Matsumoto

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.

Thanadon Bunkerd, Dong Wang, Raula Gaikovina Kula, Chaiyong Ragkhitwetsagul, Morakot Choetkiertikul, Thanwadee Sunetnanta, Takashi Ishio, Kenichi Matsumoto

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.

Dong Wang, Raula Gaikovina Kula, Kenichi Matsumoto

Proceedings of the 25th Asia-Pacific Software Engineering Conference, 2018