Dong Wang

67 papers A* 3A 7C 2Journal 47Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Cross-Project Flakiness: A Case Study of the OpenStack Ecosystem.
CoRR
Tao Xiao, Dong Wang, Shane McIntosh, Hideaki Hata, Yasutaka Kamei
2026 J jnl
Evaluating large language models for multilingual vulnerability detection at dual granularities.
Empir. Softw. Eng.
Honglin Shu, Michael Fu, Junji Yu, Dong Wang, Chakkrit Tantithamthavorn, Junjie Chen, Yasutaka Kamei
2025 — conf
A Preliminary Study of Large Language Models for Multilingual Vulnerability Detection.
ISSTA Companion
Junji Yu, Honglin Shu, Michael Fu, Dong Wang, Chakkrit Tantithamthavorn, Yasutaka Kamei, Junjie Chen
2025 J jnl
A Preliminary Study of Large Language Models for Multilingual Vulnerability Detection.
CoRR
Junji Yu, Honglin Shu, Michael Fu, Dong Wang, Chakkrit Tantithamthavorn, Yasutaka Kamei, Junjie Chen
2025 J jnl
A Survey of Reinforcement Learning for Software Engineering.
CoRR
Dong Wang, Hanmo You, Lingwei Zhu, Kaiwei Lin, Zheng Chen, Chen Yang, Junji Yu, Zan Wang, Junjie Chen
2025 J jnl
An empirical study of test case prioritization on the Linux Kernel.
Autom. Softw. Eng.
Haichi Wang, Ruiguo Yu, Dong Wang, Yiheng Du, Yingquan Zhao, Junjie Chen, Zan Wang
2025 — conf
Building BRIDGES across Papua New Guinea's Digital Divide in Growing the ICT Industry.
SEiGS@ICSE
Marc Cheong, Sankwi Abuzo, Hideaki Hata, Priscilla Kevin, Winifred Kula, Benson Mirou, Christoph Treude, Dong Wang, Raula Gaikovina Kula
2025 J jnl
Building Bridges across Papua New Guinea's Digital Divide in Growing the ICT Industry.
CoRR
Marc Cheong, Sankwi Abuzo, Hideaki Hata, Priscilla Kevin, Winifred Kula, Benson Mirou, Christoph Treude, Dong Wang, Raula Gaikovina Kula
2025 A* conf
Clarifying Semantics of In-Context Examples for Unit Test Generation.
ASE
Chen Yang, Lin Yang, Ziqi Wang, Dong Wang, Jianyi Zhou, Junjie Chen
2025 J jnl
Clarifying Semantics of In-Context Examples for Unit Test Generation.
CoRR
Chen Yang, Lin Yang, Ziqi Wang, Dong Wang, Jianyi Zhou, Junjie Chen
2025 J jnl
Developer reactions to protestware in open source software: the cases of color.js and es5.ext.
Empir. Softw. Eng.
Youmei Fan, Dong Wang, Supatsara Wattanakriengkrai, Hathaichanok Damrongsiri, Christoph Treude, Hideaki Hata, Raula Gaikovina Kula
2025 J jnl
Issue-Oriented Agent-Based Framework for Automated Review Comment Generation.
CoRR
Shuochuan Li, Dong Wang, Patanamon Thongtanunam, Zan Wang, Jiuqiao Yu, Junjie Chen
2025 J jnl
LEAM++: Learning for Selective Mutation Fault Construction.
ACM Trans. Softw. Eng. Methodol.
Zhao Tian, Junjie Chen, Dong Wang, Qihao Zhu, Xingyu Fan, Lingming Zhang
2025 J jnl
Large Language Models for Multilingual Vulnerability Detection: How Far Are We?
CoRR
Honglin Shu, Michael Fu, Junji Yu, Dong Wang, Chakkrit Tantithamthavorn, Junjie Chen, Yasutaka Kamei
2025 J jnl
On the Evaluation of Large Language Models in Multilingual Vulnerability Repair.
CoRR
Dong Wang, Junji Yu, Honglin Shu, Michael Fu, Chakkrit Tantithamthavorn, Yasutaka Kamei, Junjie Chen
2025 A* conf
Selecting Initial Seeds for Better JVM Fuzzing.
ICSE
Tianchang Gao, Junjie Chen, Dong Wang, Yile Guo, Yingquan Zhao, Zan Wang
2024 J jnl
A Disruptive Research Playbook for Studying Disruptive Innovations.
CoRR
Margaret-Anne D. Storey, Daniel Russo, Nicole Novielli, Takashi Kobayashi, Dong Wang
2024 J jnl
A Disruptive Research Playbook for Studying Disruptive Innovations.
ACM Trans. Softw. Eng. Methodol.
Margaret-Anne D. Storey, Daniel Russo, Nicole Novielli, Takashi Kobayashi, Dong Wang
2024 J jnl
Developer Reactions to Protestware in Open Source Software: The cases of color.js and es5.ext.
CoRR
Youmei Fan, Dong Wang, Supatsara Wattanakriengkrai, Hathaichanok Damrongsiri, Christoph Treude, Hideaki Hata, Raula Gaikovina Kula
2024 A conf
Exploring the Effect of Multiple Natural Languages on Code Suggestion Using GitHub Copilot.
MSR
Kei Koyanagi, Dong Wang, Kotaro Noguchi, Masanari Kondo, Alexander Serebrenik, Yasutaka Kamei, Naoyasu Ubayashi
2024 J jnl
Exploring the Effect of Multiple Natural Languages on Code Suggestion Using GitHub Copilot.
CoRR
Kei Koyanagi, Dong Wang, Kotaro Noguchi, Masanari Kondo, Alexander Serebrenik, Yasutaka Kamei, Naoyasu Ubayashi
2024 C conf
GitRev: An LLM-Based Gamification Framework for Modern Code Review Activities.
SCAM
Jasem Khelifi, Moataz Chouchen, Ali Ouni, Dong Wang, Raula Gaikovina Kula, Salma Hamza, Mohamed Wiem Mkaouer
2024 — conf
Going Viral: Case Studies on the Impact of Protestware.
ICSE Companion
Youmei Fan, Dong Wang, Supatsara Wattanakriengkrai, Hathaichanok Damrongsiri, Christoph Treude, Hideaki Hata, Raula Gaikovina Kula
2024 J jnl
Going Viral: Case Studies on the Impact of Protestware.
CoRR
Youmei Fan, Dong Wang, Supatsara Wattanakriengkrai, Hathaichanok Damrongsiri, Christoph Treude, Hideaki Hata, Raula Gaikovina Kula
2024 A conf
Large Language Models for Equivalent Mutant Detection: How Far Are We?
ISSTA
Zhao Tian, Honglin Shu, Dong Wang, Xuejie Cao, Yasutaka Kamei, Junjie Chen
2024 J jnl
Large Language Models for Equivalent Mutant Detection: How Far Are We?
CoRR
Zhao Tian, Honglin Shu, Dong Wang, Xuejie Cao, Yasutaka Kamei, Junjie Chen
2024 J jnl
Quantifying and Characterizing Clones of Self-Admitted Technical Debt in Build Systems.
CoRR
Tao Xiao, Zhili Zeng, Dong Wang, Hideaki Hata, Shane McIntosh, Kenichi Matsumoto
2024 J jnl
Quantifying and characterizing clones of self-admitted technical debt in build systems.
Empir. Softw. Eng.
Tao Xiao, Zhili Zeng, Dong Wang, Hideaki Hata, Shane McIntosh, Kenichi Matsumoto
2024 J jnl
Selecting Initial Seeds for Better JVM Fuzzing.
CoRR
Tianchang Gao, Junjie Chen, Dong Wang, Yile Guo, Yingquan Zhao, Zan Wang
2024 A conf
Towards Identifying Code Proficiency Through the Analysis of Python Textbooks.
ICSME
Ruksit Rojpaisarnkit, Gregorio Robles, Raula Gaikovina Kula, Dong Wang, Chaiyong Ragkhitwetsagul, Jesús M. González-Barahona, Kenichi Matsumoto
2024 J jnl
Towards Identifying Code Proficiency through the Analysis of Python Textbooks.
CoRR
Ruksit Rojpaisarnkit, Gregorio Robles, Raula Gaikovina Kula, Dong Wang, Chaiyong Ragkhitwetsagul, Jesús M. González-Barahona, Kenichi Matsumoto
2024 J jnl
Understanding the characteristics and the role of visual issue reports.
Empir. Softw. Eng.
Hiroki Kuramoto, Dong Wang, Masanari Kondo, Yutaro Kashiwa, Yasutaka Kamei, Naoyasu Ubayashi
2023 J jnl
An Exploration of Cross-Patch Collaborations via Patch Linkage in OpenStack.
IEICE Trans. Inf. Syst.
Dong Wang, Patanamon Thongtanunam, Raula Gaikovina Kula, Kenichi Matsumoto
2023 J jnl
Giving Back: Contributions Congruent to Library Dependency Changes in a Software Ecosystem.
IEEE Trans. Software Eng.
Supatsara Wattanakriengkrai, Dong Wang, Raula Gaikovina Kula, Christoph Treude, Patanamon Thongtanunam, Takashi Ishio, Kenichi Matsumoto
2023 J jnl
More Than React: Investigating The Role of Emoji Reaction in GitHub Pull Requests.
CoRR
Dong Wang, Tao Xiao, Teyon Son, Raula Gaikovina Kula, Takashi Ishio, Yasutaka Kamei, Kenichi Matsumoto
2023 J jnl
More than React: Investigating the Role of Emoji Reaction in GitHub Pull Requests.
Empir. Softw. Eng.
Dong Wang, Tao Xiao, Teyon Son, Raula Gaikovina Kula, Takashi Ishio, Yasutaka Kamei, Kenichi Matsumoto
2023 A* conf
Repeated Builds During Code Review: An Empirical Study of the OpenStack Community.
ASE
Rungroj Maipradit, Dong Wang, Patanamon Thongtanunam, Raula Gaikovina Kula, Yasutaka Kamei, Shane McIntosh
2023 J jnl
Repeated Builds During Code Review: An Empirical Study of the OpenStack Community.
CoRR
Rungroj Maipradit, Dong Wang, Patanamon Thongtanunam, Raula Gaikovina Kula, Yasutaka Kamei, Shane McIntosh
2023 A conf
Towards Privacy Preserving Cross Project Defect Prediction with Federated Learning.
SANER
Hiroki Yamamoto, Dong Wang, Gopi Krishnan Rajbahadur, Masanari Kondo, Yasutaka Kamei, Naoyasu Ubayashi
2023 A conf
Understanding the Role of Images on Stack Overflow.
MSR
Dong Wang, Tao Xiao, Christoph Treude, Raula Gaikovina Kula, Hideaki Hata, Yasutaka Kamei
2023 J jnl
Understanding the Role of Images on Stack Overflow.
CoRR
Dong Wang, Tao Xiao, Christoph Treude, Raula Gaikovina Kula, Hideaki Hata, Yasutaka Kamei
2023 J jnl
When Conversations Turn Into Work: A Taxonomy of Converted Discussions and Issues in GitHub.
CoRR
Dong Wang, Masanari Kondo, Yasutaka Kamei, Raula Gaikovina Kula, Naoyasu Ubayashi
2023 J jnl
When conversations turn into work: a taxonomy of converted discussions and issues in GitHub.
Empir. Softw. Eng.
Dong Wang, Masanari Kondo, Yasutaka Kamei, Raula Gaikovina Kula, Naoyasu Ubayashi
2022 J jnl
An Exploration of Cross-Patch Collaborations via Patch Linkage in OpenStack.
CoRR
Dong Wang, Patanamon Thongtanunam, Raula Gaikovina Kula, Kenichi Matsumoto
2022 J jnl
An Exploration of npm Package Co-Usage Examples from Stack Overflow: A Case Study.
IEICE Trans. Inf. Syst.
Syful Islam, Dong Wang, Raula Gaikovina Kula, Takashi Ishio, Kenichi Matsumoto
2022 J jnl
Characterizing and Mitigating Self-Admitted Technical Debt in Build Systems.
IEEE Trans. Software Eng.
Tao Xiao, Dong Wang, Shane McIntosh, Hideaki Hata, Raula Gaikovina Kula, Takashi Ishio, Kenichi Matsumoto
2022 J jnl
Giving Back: Contributions Congruent to Library Dependency Changes in a Software Ecosystem.
CoRR
Supatsara Wattanakriengkrai, Dong Wang, Raula Gaikovina Kula, Christoph Treude, Patanamon Thongtanunam, Takashi Ishio, Kenichi Matsumoto
2022 J jnl
Newcomer OSS-Candidates: Characterizing Contributions of Novice Developers to GitHub.
Empir. Softw. Eng.
Ifraz Rehman, Dong Wang, Raula Gaikovina Kula, Takashi Ishio, Kenichi Matsumoto
2021 — conf
An End-to-End Sleep Staging Simulator Based on Mixed Deep Neural Networks.
BIBM
Zheng Chen, Ziwei Yang, Dong Wang, Ming Huang, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya
2021 J jnl
An Exploration of npm Package Co-Usage Examples from Stack Overflow: A Case Study.
CoRR
Syful Islam, Dong Wang, Raula Gaikovina Kula, Takashi Ishio, Kenichi Matsumoto
2021 — conf
An Integrated Multi-Omics Approach for AMR Phenotype Prediction of Gut Microbiota.
BIBM
Pei Gao, Zheng Chen, Dong Wang, Ming Huang, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya
2021 A conf
Anti-patterns in Modern Code Review: Symptoms and Prevalence.
SANER
Moataz Chouchen, Ali Ouni, Raula Gaikovina Kula, Dong Wang, Patanamon Thongtanunam, Mohamed Wiem Mkaouer, Kenichi Matsumoto
2021 J jnl
Automatic Patch Linkage Detection in Code Review Using TextualContent and File Location Features.
CoRR
Dong Wang, Raula Gaikovina Kula, Takashi Ishio, Kenichi Matsumoto
2021 J jnl
Automatic patch linkage detection in code review using textual content and file location features.
Inf. Softw. Technol.
Dong Wang, Raula Gaikovina Kula, Takashi Ishio, Kenichi Matsumoto
2021 J jnl
Can we benchmark Code Review studies? A systematic mapping study of methodology, dataset, and metric.
J. Syst. Softw.
Dong Wang, Yuki Ueda, Raula Gaikovina Kula, Takashi Ishio, Kenichi Matsumoto
2021 J jnl
Characterizing and Mitigating Self-Admitted Build Debt.
CoRR
Tao Xiao, Dong Wang, Shane McIntosh, Hideaki Hata, Raula Gaikovina Kula, Takashi Ishio, Kenichi Matsumoto
2021 — conf
Exploring Feasibility of Truth-Involved Automatic Sleep Staging Combined with Transformer.
BIBM
Ziwei Yang, Dong Wang, Zheng Chen, Ming Huang, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya
2021 J jnl
More Than React: Investigating The Role of EmojiReaction in GitHub Pull Requests.
CoRR
Teyon Son, Tao Xiao, Dong Wang, Raula Gaikovina Kula, Takashi Ishio, Kenichi Matsumoto
2021 J jnl
Newcomer Candidate: Characterizing Contributions of a Novice Developer to GitHub.
CoRR
Ifraz Rehman, Dong Wang, Raula Gaikovina Kula, Takashi Ishio, Kenichi Matsumoto
2021 J jnl
Understanding shared links and their intentions to meet information needs in modern code review.
Empir. Softw. Eng.
Dong Wang, Tao Xiao, Patanamon Thongtanunam, Raula Gaikovina Kula, Kenichi Matsumoto
2020 J jnl
A Case Study for Software Quality Evaluation Based on SCT Model With BP Neural Network.
IEEE Access
Ben Yan, Hua-Ping Yao, Masahide Nakamura, Zhi-Feng Li, Dong Wang
2020 A conf
Newcomer Candidate: Characterizing Contributions of a Novice Developer to GitHub.
ICSME
Ifraz Rehman, Dong Wang, Raula Gaikovina Kula, Takashi Ishio, Kenichi Matsumoto
2020 J jnl
Newcomer Candidate: Characterizing Contributions of a Novice Developer to GitHub.
CoRR
Ifraz Rehman, Dong Wang, Raula Gaikovina Kula, Takashi Ishio, Kenichi Matsumoto
2019 — conf
How Do Contributors Impact Code Naturalness? An Exploratory Study of 50 Python Projects.
IWESEP
Thanadon Bunkerd, Dong Wang, Raula Gaikovina Kula, Chaiyong Ragkhitwetsagul, Morakot Choetkiertikul, Thanwadee Sunetnanta, Takashi Ishio, Kenichi Matsumoto
2019 J jnl
The Evolution of Code Review Research: A Systematic Mapping Study.
CoRR
Dong Wang, Yuki Ueda, Raula Gaikovina Kula, Takashi Ishio, Kenichi Matsumoto
2019 — conf
Visualizing the Usage of Pythonic Idioms Over Time: A Case Study of the with open Idiom.
IWESEP
Tattiya Sakulniwat, Raula Gaikovina Kula, Chaiyong Ragkhitwetsagul, Morakot Choetkiertikul, Thanwadee Sunetnanta, Dong Wang, Takashi Ishio, Kenichi Matsumoto
2018 C conf
An Exploratory Study to Identify Similar Patches: A Case Study in Modern Code Review.
APSEC
Dong Wang, Raula Gaikovina Kula, Kenichi Matsumoto