| 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 | 377 | 2015 |
| 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 | 360 | 2020 |
| 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 | 222 | 2012 |
| Predicting defective lines using a model-agnostic technique S Wattanakriengkrai, P Thongtanunam, C Tantithamthavorn, H Hata, ... IEEE Transactions on Software Engineering, 2020 | 118 | 2020 |
| 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 | 116 | 2013 |
| 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 | 88 | 2019 |
| 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 | 85 | 2015 |
| 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 | 83 | 2011 |
| 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 | 72 | 2017 |
| 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 | 63 | 2010 |
| 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 | 62 | 2020 |
| 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 | 62 | 2018 |
| Learning to generate corrective patches using neural machine translation H Hata, E Shihab, G Neubig arXiv preprint arXiv:1812.07170, 2018 | 59 | 2018 |
| 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 | 59 | 2015 |
| 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 | 52 | 2013 |
| 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 | 50 | 2017 |
| 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 | 49 | 2022 |
| 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 | 48 | 2019 |
| Automatic unsupervised bug report categorization N Limsettho, H Hata, A Monden, K Matsumoto 2014 6th international workshop on empirical software engineering in …, 2014 | 41 | 2014 |
| Wait for it: identifying “on-hold” self-admitted technical debt R Maipradit, C Treude, H Hata, K Matsumoto Empirical Software Engineering 25, 3770-3798, 2020 | 40 | 2020 |
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