Publications

2023

• Unjustifiable Waste: An Empirical Study of Repeated Builds During Code Review. Rungroj Maipradit, Dong Wang, Patanamon Thongtanunam, Raula Gaikovina Kula, Yasutaka Kamei, Shane McIntosh. 38th IEEE/ACM International Conference on Automated Software Engineering (ASE). [Corresponding author] (to appear)
• 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. Empirical Software Engineering (EMSE).
• 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. Empirical Software Engineering (EMSE).
• Understanding the Role of Images on Stack Overflow. Dong Wang, Tao Xiao, Christoph Treude, Raula Gaikovina Kula, Hideaki Hata, Yasutaka Kamei. 20th IEEE International Conference on Mining Software Repositories (MSR) .
• Towards Privacy Preserving Cross Project Defect Prediction with Federated Learning. Hiroki Yamamoto, Dong Wang, Gopi Rajbahadur, Masanari Kondo, Yasutaka Kamei, Naoyasu Ubayashi. 30th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER). [Corresponding author]
• An Exploration of Cross-Patch Collaborations via Patch Linkage in OpenStack. Dong Wang, Patanamon Thongtanunam, Raula Gaikovina Kula, Kenichi Matsumoto. IEICE Transactions on Information and Systems.

2022

• 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. Transactions on Software Engineering (TSE). [Selected for the journal first program of the ICSE 2023]
• 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. Transactions on Software Engineering (TSE). [Selected for the journal first program of the FSE 2022]
• Newcomer Candidate: Characterizing Contributions of a Novice Developer to GitHub. Ifraz Rehman, Dong Wang, Raula Gaikovina Kula, Takashi Ishio, Kenichi Matsumoto. Empirical Software Engineering (EMSE).

2021

• 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 Transactions on Information and Systems.
• Understanding Shared Links and Their Intentions to Meet Information Needs in Modern Code Review: A Case Study of the OpenStack and Qt Projects. Dong Wang, Tao Xiao, Patanamon Thongtanunam, Raula Gaikovina Kula, Kenichi Matsumoto. Empirical Software Engineering (EMSE). PDF [Selected for the journal first program of the ICSE 2022]
• Can We Benchmark Code Review Studies? A Systematic MappingStudy of Methodology, Dataset, and Metric? Dong Wang, Yuki Ueda, Raula Gaikovina Kula, Takashi Ishio, Kenichi Matsumoto. Journal of System and Software (JSS).
• Automatic Patch Linkage Detection in Code Review Using Textual Content and File Location Features. Dong Wang, Raula Gaikovina Kula, Takashi Ishio, Kenichi Matsumoto. Information and Software Technology (IST).
• 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. 28th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2021.
• More Than React: Investigating The Role of Emoji Reaction in GitHub Pull Requests. Teyon Son, Tao Xiao, Dong Wang, Raula Gaikovina Kula, Takashi Ishio, Kenichi Matsumoto. 37th International Conference on Software Maintenance and Evolution (ICSME), Registered Report, 2021. PDF
• An End-to-End Sleep Staging Simulator Based on Mixed Deep Neural Networks. Zheng Chen, Ziwei Yang, Dong Wang, Ming Huang, Naoaki Ono, Altaf Amin, Shigehiko Kanaya. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

2020

• Newcomer Candidate: Characterizing Contributions of a Novice Developer to GitHub. Ifraz Rehman, Dong Wang, Raula Gaikovina Kula, Takashi Ishio, Kenichi Matsumoto. 36th International Conference on Software Maintenance and Evolution (ICSME), Registered Report, 2020. PDF

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. 10th International Workshop on Empirical Software Engineering in Practice (IWESEP), 2019. PDF
• 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. 10th International Workshop on Empirical Software Engineering in Practice (IWESEP), 2019. PDF

2018

• An Exploratory Study to Identify Similar Patches: A Case Study in Modern Code Review. Dong Wang, Raula Gaikovina Kula, Kenichi Matsumoto. 25th Asia-Pacific Software Engineering Conference (APSEC), 2018. PDF