| Anti-patterns in modern code review: Symptoms and prevalence M Chouchen, A Ouni, RG Kula, D Wang, P Thongtanunam, MW Mkaouer, ... 2021 IEEE international conference on software analysis, evolution and …, 2021 | 32 | 2021 |
| Understanding shared links and their intentions to meet information needs in modern code review: A case study of the OpenStack and Qt projects D Wang, T Xiao, P Thongtanunam, RG Kula, K Matsumoto Empirical Software Engineering 26, 1-32, 2021 | 23 | 2021 |
| Newcomer oss-candidates: Characterizing contributions of novice developers to github I Rehman, D Wang, RG Kula, T Ishio, K Matsumoto Empirical Software Engineering 27 (5), 109, 2022 | 19* | 2022 |
| Characterizing and mitigating self-admitted technical debt in build systems T Xiao, D Wang, S McIntosh, H Hata, RG Kula, T Ishio, K Matsumoto IEEE Transactions on Software Engineering 48 (10), 4214-4228, 2021 | 17* | 2021 |
| Can we benchmark code review studies? a systematic mapping study of methodology, dataset, and metric D Wang, Y Ueda, RG Kula, T Ishio, K Matsumoto Journal of Systems and Software 180, 111009, 2021 | 15 | 2021 |
| Visualizing the usage of pythonic idioms over time: A case study of the with open idiom T Sakulniwat, RG Kula, C Ragkhitwetsagul, M Choetkiertikul, ... 2019 10th International Workshop on Empirical Software Engineering in …, 2019 | 14 | 2019 |
| An end-to-end sleep staging simulator based on mixed deep neural networks Z Chen, Z Yang, D Wang, M Huang, N Ono, M Altaf-Ul-Amin, S Kanaya 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 12 | 2021 |
| Automatic patch linkage detection in code review using textual content and file location features D Wang, RG Kula, T Ishio, K Matsumoto Information and Software Technology 139, 106637, 2021 | 8 | 2021 |
| More than React: Investigating the Role of Emoji Reaction in GitHub Pull Requests D Wang, T Xiao, T Son, RG Kula, T Ishio, Y Kamei, K Matsumoto Empirical Software Engineering 28 (5), 123, 2023 | 5 | 2023 |
| Towards Privacy Preserving Cross Project Defect Prediction with Federated Learning H Yamamoto, D Wang, GK Rajbahadur, M Kondo, Y Kamei, N Ubayashi 2023 IEEE international conference on software analysis, evolution and …, 2023 | 5 | 2023 |
| Giving back: Contributions congruent to library dependency changes in a software ecosystem S Wattanakriengkrai, D Wang, RG Kula, C Treude, P Thongtanunam, ... IEEE Transactions on Software Engineering 49 (4), 2566-2579, 2022 | 5 | 2022 |
| Exploring feasibility of truth-involved automatic sleep staging combined with transformer Z Yang, D Wang, Z Chen, M Huang, N Ono, M Altaf-Ul-Amin, S Kanaya 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 5 | 2021 |
| How do contributors impact code naturalness? an exploratory study of 50 python projects T Bunkerd, D Wang, RG Kula, C Ragkhitwetsagul, M Choetkiertikul, ... 2019 10th International Workshop on Empirical Software Engineering in …, 2019 | 4 | 2019 |
| An Exploration of npm Package Co-Usage Examples from Stack Overflow: A Case Study S Islam, D Wang, RG Kula, T Ishio, K Matsumoto IEICE Transactions on Information and Systems, 2021 | 3 | 2021 |
| Exploring the Effect of Multiple Natural Languages on Code Suggestion Using GitHub Copilot K Koyanagi, D Wang, K Noguchi, M Kondo, A Serebrenik, Y Kamei, ... arXiv preprint arXiv:2402.01438, 2024 | 2 | 2024 |
| Repeated Builds During Code Review: An Empirical Study of the OpenStack Community SMI Rungroj Maipradit, Dong Wang, Patanamon Thongtanunam, Raula Gaikovina ... 38th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023 | 2 | 2023 |
| An exploratory study to identify similar patches: A case study in modern code review D Wang, RG Kula, K Matsumoto 2018 25th Asia-Pacific Software Engineering Conference (APSEC), 723-724, 2018 | 1 | 2018 |
| Quantifying and characterizing clones of self-admitted technical debt in build systems T Xiao, Z Zeng, D Wang, H Hata, S McIntosh, K Matsumoto Empirical Software Engineering 29 (2), 1-31, 2024 | | 2024 |
| A Disruptive Research Playbook for Studying Disruptive Innovations MA Storey, D Russo, N Novielli, T Kobayashi, D Wang arXiv preprint arXiv:2402.13329, 2024 | | 2024 |
| Going Viral: Case Studies on the Impact of Protestware Y Fan, D Wang, S Wattanakriengkrai, H Damrongsiri, C Treude, H Hata, ... arXiv preprint arXiv:2401.16715, 2024 | | 2024 |
Raula Gaikovina KulaNara Institute of Science and TechnologyVerified email at is.naist.jp
