Hata, Hideaki

Predicting Defective Lines Using a Model-Agnostic Technique

Wattanakriengkrai, S., Thongtanunam, P., Tantithamthavorn, C., Hata, H., & Matsumoto, K. (2022) · IEEE Transactions on Software Engineering

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 137

DevGPT: Studying Developer-ChatGPT Conversations

Xiao, T., Treude, C., Hata, H., & Matsumoto, K. (2024) · Proceedings of the 21st International Conference on Mining Software Repositories

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 56

Generative AI in Software Engineering Must Be Human-Centered: The Copenhagen Manifesto

Russo, D., Baltes, S., van Berkel, N., Avgeriou, P., Calefato, F., Cabrero-Daniel, B., Catolino, G., Cito, J., Ernst, N., Fritz, T., et al. (2024) · Journal of Systems and Software

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 34

Generative AI for Pull Request Descriptions: Adoption, Impact, and Developer Interventions

Xiao, T., Hata, H., Treude, C., & Matsumoto, K. (2024) · Proceedings of the ACM on Software Engineering

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 29

Self-Admitted GenAI Usage in Open-Source Software

Xiao, T., Fan, Y., Calefato, F., Treude, C., Kula, R. G., Hata, H., & Baltes, S. (2025) · arXiv

Software Engineering ResearchOpen Source Software Innovations

Cited by 6

Self-Admitted GenAI Usage in Open-Source Software

Xiao, T., Fan, Y., Calefato, F., Treude, C., Kula, R. G., Hata, H., & Baltes, S. (2026) · IEEE Transactions on Software Engineering

Software Engineering ResearchOpen Source Software Innovations

Cited by 1