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Hideaki Hata
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Learning to generate pseudo-code from source code using statistical machine translation
Y Oda, H Fudaba, G Neubig, H Hata, S Sakti, T Toda, S Nakamura
2015 30th IEEE/ACM International Conference on Automated Software …, 2015
3402015
Pandemic programming: How COVID-19 affects software developers and how their organizations can help
P Ralph, S Baltes, G Adisaputri, R Torkar, V Kovalenko, M Kalinowski, ...
Empirical software engineering 25, 4927-4961, 2020
3072020
Bug prediction based on fine-grained module histories
H Hata, O Mizuno, T Kikuno
2012 34th international conference on software engineering (ICSE), 200-210, 2012
2112012
Classifying bug reports to bugs and other requests using topic modeling
N Pingclasai, H Hata, K Matsumoto
2013 20Th asia-pacific software engineering conference (APSEC) 2, 13-18, 2013
1062013
Predicting defective lines using a model-agnostic technique
S Wattanakriengkrai, P Thongtanunam, C Tantithamthavorn, H Hata, ...
IEEE Transactions on Software Engineering, 2020
842020
A dataset of high impact bugs: Manually-classified issue reports
M Ohira, Y Kashiwa, Y Yamatani, H Yoshiyuki, Y Maeda, N Limsettho, ...
2015 IEEE/ACM 12th Working Conference on Mining Software Repositories, 518-521, 2015
792015
9.6 million links in source code comments: Purpose, evolution, and decay
H Hata, C Treude, RG Kula, T Ishio
2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE …, 2019
772019
Historage: fine-grained version control system for java
H Hata, O Mizuno, T Kikuno
Proceedings of the 12th International Workshop on Principles of Software …, 2011
762011
Bug or not? bug report classification using n-gram idf
P Terdchanakul, H Hata, P Phannachitta, K Matsumoto
2017 IEEE international conference on software maintenance and evolution …, 2017
652017
Fault-prone module detection using large-scale text features based on spam filtering
H Hata, O Mizuno, T Kikuno
Empirical Software Engineering 15, 147-165, 2010
612010
Cross project defect prediction using class distribution estimation and oversampling
N Limsettho, KE Bennin, JW Keung, H Hata, K Matsumoto
Information and Software Technology 100, 87-102, 2018
552018
Characteristics of sustainable oss projects: A theoretical and empirical study
H Hata, T Todo, S Onoue, K Matsumoto
2015 IEEE/ACM 8th International Workshop on Cooperative and Human Aspects of …, 2015
542015
Learning to generate corrective patches using neural machine translation
H Hata, E Shihab, G Neubig
arXiv preprint arXiv:1812.07170, 2018
522018
How different are different diff algorithms in Git? Use --histogram for code changes
YS Nugroho, H Hata, K Matsumoto
Empirical Software Engineering 25, 790-823, 2020
492020
A study of the characteristics of developers' activities in GitHub
S Onoue, H Hata, K Matsumoto
2013 20th Asia-Pacific Software Engineering Conference (APSEC) 2, 7-12, 2013
442013
GitHub Discussions: An exploratory study of early adoption
H Hata, N Novielli, S Baltes, RG Kula, C Treude
Empirical Software Engineering 27, 1-32, 2022
402022
A topological analysis of communication channels for knowledge sharing in contemporary GitHub projects
J Tantisuwankul, YS Nugroho, RG Kula, H Hata, A Rungsawang, ...
Journal of Systems and Software 158, 110416, 2019
402019
Understanding the heterogeneity of contributors in bug bounty programs
H Hata, M Guo, MA Babar
2017 ACM/IEEE International Symposium on Empirical Software Engineering and …, 2017
382017
Automatic unsupervised bug report categorization
N Limsettho, H Hata, A Monden, K Matsumoto
2014 6th international workshop on empirical software engineering in …, 2014
382014
Identifying design and requirement self-admitted technical debt using n-gram idf
S Wattanakriengkrai, R Maipradit, H Hata, M Choetkiertikul, T Sunetnanta, ...
2018 9th International Workshop on Empirical Software Engineering in …, 2018
352018
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