Research keywords (7):
Blockchain
, Remote Work Software Engineering
, Software Metrics
, Empirical Software Engineering
, Version Control System
, Software Repository Mining
, Defect Prediction
Research theme for competitive and other funds (2):
2022 - 2024 潜在バグの発見・修正を可能とするJust-in-time自動バグ修正の提案
2019 - 2022 開発者個人の活動に対する深層学習によるソフトウェア不具合検出技法
Papers (39):
Kei Koyanagi, Dong Wang, Kotaro Noguchi, Masanari Kondo, Alexander Serebrenik, Yasutaka Kamei, Naoyasu Ubayashi. Exploring the Effect of Multiple Natural Languages on Code Suggestion Using GitHub Copilot. CoRR. 2024. abs/2402.01438
Dong Wang, Masanari Kondo, Yasutaka Kamei, Raula Gaikovina Kula, Naoyasu Ubayashi. When conversations turn into work: a taxonomy of converted discussions and issues in GitHub. Empirical Software Engineering. 2023. 28. 6. 138-138
Khine Yin MON, Masanari KONDO, Eunjong CHOI, Osamu MIZUNO. Commit-Based Class-Level Defect Prediction for Python Projects. IEICE Transactions on Information and Systems. 2023. E106.D. 2. 157-165
Yuta Ishimoto, Ken Matsui, Masanari Kondo, Naoyasu Ubayashi, Yasutaka Kamei. An Initial Analysis of Repair and Side-effect Prediction for Neural Networks. CAIN. 2023. 80-85
An Empirical Study on Self-Admitted Technical Debt in Modern Code Review
(38th IEEE International Conference on Software Maintenance and Evolution (ICSME) 2022)