About
I am an Associate Professor at the Faculty of Engineering, Shinshu University, Japan. Before joining Shinshu University, I worked as an Assistant Professor at Nara Institute of Science and Technology. I received M.Sc. and Ph.D degrees from the Graduate School of Information Science and Technology, Osaka University.
hata[at]shinshu-u[dot]ac[dot]jp
Recent papers
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Zhili Zeng, Tao Xiao, Maxime Lamothe, Hideaki Hata, and Shane McIntosh, How Trustworthy is Your CI Accelerator? A Comparison of the Trustworthiness of CI Acceleration Products, IEEE Software, Vol. 39, Issue 6, pp. 82-90, November 2024. (JCR: 3.3 in 2023)
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Tao Xiao, Hideaki Hata, Christoph Treude, and Kenichi Matsumoto, Generative AI for Pull Request Descriptions: Adoption, Impact, and Developer Interventions, Proceedings of the ACM on Software Engineering, Vol. 1, Issue FSE, Article No. 47, July 2024. [Dataset] and [Slides] (Acceptance rate: 25.5%)
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Youmei Fan, Dong Wang, Supatsara Wattanakriengkrai, Hathaichanok Damrongsiri, Christoph Treude, Hideaki Hata, and Raula Gaikovina Kula, Going Viral: Case Studies on the Impact of Protestware, In Proc. of 46th IEEE/ACM International Conference on Software Engineering: Companion Proceedings (ICSE-Companion 2024), pp. 308–309, April 2024.
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Youmei Fan, Tao Xiao, Hideaki Hata, Christoph Treude, and Kenichi Matsumoto, “My GitHub Sponsors profile is live!” Investigating the Impact of Twitter/X Mentions on GitHub Sponsors, In Proc. of 46th IEEE/ACM International Conference on Software Engineering (ICSE 2024), pp. 2353-2364, April 2024. [Dataset] and [Slides] (Acceptance rate: 22.3%)
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Tao Xiao, Hideaki Hata, Christoph Treude, and Kenichi Matsumoto, DevGPT: Studying Developer-ChatGPT Conversations, In Proc. of 21st International Conference on Mining Software Repositories (MSR 2024), pp. 227-230, April 2024. [Dataset] and [Slides]
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Zhili Zeng, Tao Xiao, Maxime Lamothe, Hideaki Hata, and Shane McIntosh, A Mutation-Guided Assessment of Acceleration Approaches for Continuous Integration: An Empirical Study of YourBase, In Proc. of 21st International Conference on Mining Software Repositories (MSR 2024), pp. 556-568, April 2024. [Dataset] (Acceptance rate: 28.8%)
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Tao Xiao, Zhili Zeng, Dong Wang, Hideaki Hata, Shane McIntosh, and Kenichi Matsumoto, Quantifying and Characterizing Clones of Self-Admitted Technical Debt in Build Systems, Empirical Software Engineering, Vol. 29, Issue 2, Article No. 54, March 2024. [Dataset] (JCR: 3.5 in 2023)
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Morakot Choetkiertikul, Arada Puengmongkolchaikit, Pandaree Chandra, Chaiyong Ragkhitwetsagul, Rungroj Maipradit, Hideaki Hata, Thanwadee Sunetnanta, and Kenichi Matsumoto, Studying the association between Gitcoin’s issues and resolving outcomes, Journal of Systems and Software, Vol. 206, 111835, December 2023. [Dataset] (JCR: 3.7 in 2023)
Publications
Journal
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Tao Xiao, Sebastian Baltes, Hideaki Hata, Christoph Treude, Raula Gaikovina Kula, Takashi Ishio, and Kenichi Matsumoto, 18 Million Links in Commit Messages: Purpose, Evolution, and Decay, Empirical Software Engineering, Vol. 28, Issue 4, Article No. 91, May 2023. [Dataset] (JCR: 3.5 in 2023).
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Hideaki Hata, Yusuke Hara, and Taiki Todo, Applications of Multi-Agent Systems Research for Transportation Systems, SYSTEMS, CONTROL AND INFORMATION, Vol. 67, Issue 1, pp. 18-24, January 2023. (in Japanese)
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Tao Xiao, Dong Wang, Shane McIntosh, Hideaki Hata, Raula Gaikovina Kula, Takashi Ishio, and Kenichi Matsumoto, Characterizing and Mitigating Self-Admitted Technical Debt in Build Systems, IEEE Transactions on Software Engineering, Vol. 48, Issue 10, pp. 4214-4228, October 2022. [Dataset], [Slides] and [Video] (JCR: 7.4 in 2022) (Journal First at ESEC/FSE 2022)
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Abdulaziz Alhefdhi, Hoa Khanh Dam, Yusuf Sulistyo Nugroho, Hideaki Hata, Takashi Ishio, and Aditya Ghose, A Framework for Conditional Statement Technical Debt Identification and Description, Automated Software Engineering, Vol. 29, Issue 2, Article No. 60, October 2022. [Dataset] (JCR: 3.4 in 2022)
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Raula Gaikovina Kula, Christoph Treude, Hideaki Hata, Sebastian Baltes, Igor Steinmacher, Marco Aurelio Gerosa, and Winifred Kula Amini, Challenges for Inclusion in Software Engineering: The Case of the Emerging Papua New Guinean Society, IEEE Software, Vol. 39, No. 3, pp. 67-76, May 2022. [Slides], [Video], and [Workshop] (JCR: 3.3 in 2022)
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Supatsara Wattanakriengkrai, Patanamon Thongtanunam, Chakkrit Tantithamthavorn, Hideaki Hata, and Kenichi Matsumoto, Predicting Defective Lines Using a Model-Agnostic Technique, IEEE Transactions on Software Engineering, Vol. 48, Issue 5, pp. 1480-1496, May 2022. [Dataset], [Slides], and [Video] (JCR: 7.4 in 2022) (Journal First at ICSE 2021)
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Supatsara Wattanakriengkrai, Bodin Chinthanet, Hideaki Hata, Raula Gaikovina Kula, Christoph Treude, Jin Guo, and Kenichi Matsumoto, GitHub Repositories with Links to Academic Papers: Open Access, Traceability, and Evolution, Journal of Systems and Software, Vol. 183, 111117, January 2022. [Dataset] (JCR: 3.5 in 2022) (Journal First at ICSME 2022)
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Hideaki Hata, Nicole Novielli, Sebastian Baltes, Raula Gaikovina Kula, and Christoph Treude, GitHub Discussions: An Exploratory Study of Early Adoption, Empirical Software Engineering, Vol. 27, Issue 1, Article No. 3, January 2022. [Dataset] and [Video] (JCR: 4.1 in 2022) (Journal First at ICSE 2022)
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Yusuf Sulistyo Nugroho, Syful Islam, Keitaro Nakasai, Ifraz Rehman, Hideaki Hata, Raula Gaikovina Kula, Meiyappan Nagappan, and Kenichi Matsumoto, How are Project-Specific Forums Utilized? A Study of Participation, Content, and Sentiment in the Eclipse Ecosystem, Empirical Software Engineering, Vol. 26, Issue 6, Article No. 132, November 2021. [Dataset], [Slides], and [Video] (JCR: 3.762 in 2021) (Journal First at ESEC/FSE 2022)
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Mingyu Guo, Guanhua Wang, Hideaki Hata, and Muhammad Ali Babar, Revenue maximizing markets for zero-day exploits, Autonomous Agents and Multi-Agent Systems, Vol. 35, Issue 2, Article No. 36, October 2021. (JCR: 2.475 in 2021)
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Yoshiharu Ikutani, Takatomi Kubo, Satoshi Nishida, Hideaki Hata, Kenichi Matsumoto, Kazushi Ikeda, and Shinji Nishimoto, Expert programmers have fine-tuned cortical representations of source code, eNeuro, Vol. 8, No. 1, ENEURO.0405-20.2020, January/February 2021. [Dataset] (JCR: 4.363 in 2021)
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Paul Ralph, Baltes Sebastian, Gianisa Adisaputri, Richard Torkar, Vladimir Kovalenko, Marcos Kalinowski, Nicole Novielli, Shin Yoo, Xavier Devroey, Xin Tan, Minghui Zhou, Burak Thuran, Rashina Hoda, Hideaki Hata, Gregorio Robles, Amin Milani Fard, and Rana Alkadhi, Pandemic Programming: How COVID-19 affects software developers and how their organizations can help, Empirical Software Engineering, Vol. 25, No. 6, pp. 4927–4961, November 2020. [Dataset] and [Video] (JCR: 2.522 in 2020) (Journal First at ICSE 2021)
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Rungroj Maipradit, Christoph Treude, Hideaki Hata, and Kenichi Matsumoto, Wait for It: Identifying On-Hold Self-Admitted Technical Debt, Empirical Software Engineering, Vol. 25, No. 5, pp. 3770-3798, September 2020. [Dataset], [Slides], and [Video] (JCR: 2.522 in 2020) (Journal First at ICSE 2021)
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Yoshiki Higo, Shinpei Hayashi, Hideaki Hata, and Meiyappan Nagappan, Ammonia: An Approach for Deriving Project Specific Bug Patterns, Empirical Software Engineering, Vol. 25, No. 3, pp. 1951-1979, May 2020. [Tool] and [Video] (JCR: 2.522 in 2020) (Journal First at ICSE 2021)
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Yusuf Sulistyo Nugroho, Hideaki Hata, and Kenichi Matsumoto, How Different Are Different Diff Algorithms in Git?, Empirical Software Engineering, Vol. 25, No. 1, pp. 790-823, January 2020. [Dataset], [Slides], and [Video] (JCR: 2.522 in 2020) (Journal First at ICSE 2020)
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Jirateep Tantisuwankul, Yusuf Sulistyo Nugroho, Raula Gaikovina Kula, Hideaki Hata, Arnon Rungsawang, Pattara Leelaprute, and Kenichi Matsumoto, A Topological Analysis of Communication Channels for Knowledge Sharing in Contemporary GitHub Projects, Journal of Systems and Software, Special Issue on Data Analytics and Empirical Software Engineering, Vol. 158, 110416, December 2019. [Dataset] (JCR: 2.450 in 2019)
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Rungroj Maipradit, Hideaki Hata, and Kenichi Matsumoto, Sentiment Classification Using N-Gram Inverse Document Frequency and Automated Machine Learning, IEEE Software, Special Issue on Sentiment and Emotion in Software Engineering, Vol. 36, No. 5, pp. 65-70, September 2019. (JCR: 2.589 in 2019)
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Keitaro Nakasai, Hideaki Hata, and Kenichi Matsumoto, Are Donation Badges Appealing? A Case Study of Developer Responses to Eclipse Bug Reports, IEEE Software, Special Issue on Managing Software Platforms and Ecosystems, Vol. 36, No. 3, pp. 22-27, May 2019. [Slides] (JCR: 2.589 in 2019) (Journal First at ESEC/FSE 2019)
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Katsuya Ogami, Keitaro Nakasai, Hideaki Hata, and Kenichi Matsumoto, Heijo: A Real-Time Profiler for Java and Android Applications with City-Like Visualization of Dynamic Code Executions, Computer Software, Vol. 36, No. 2, pp. 93-105, April 2019. (in Japanese)
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Kyohei Uemura, Keitaro Nakasai, Katsuya Ogami, Hideaki Hata, Tomohiro Ichinose, Kenichi Matsumoto, and Hajimu Iida, Codosseum : A Web Service for Supporting Development and Analysis of Open Source Software Projects, Computer Software, Vol. 36, No. 1, pp. 38-47, January 2019. (in Japanese)
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Keigo Fukutani, Akito Monden, Yucel Zeynep, and Hideaki Hata, An Attempt to Line-Wise Bug Prediction Using Moving Window, Computer Software, Vol. 35, No. 4, pp. 122-128, November 2018. (in Japanese)
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Nachai Limsettho, Kwabena Ebo Bennin, Jacky Keung, Hideaki Hata, and Kenichi Matsumoto, Cross Project Defect Prediction Using Class Distribution Estimation and Oversampling, Information and Software Technology, Vol. 100, pp. 87-102, August 2018. (JCR: 2.921 in 2018)
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Nachai Limsettho, Hideaki Hata, Akito Monden, and Kenichi Matsumoto, Unsupervised Bug Report Categorization Using Clustering and Labeling Algorithm, International Journal of Software Engineering and Knowledge Engineering, Vol. 26, No. 07, pp. 1027-1053, September 2016.
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Saya Onoue, Hideaki Hata, Akito Monden, and Kenichi Matsumoto, Investigating and Projecting Population Structures in Open Source Software Projects: A Case Study of Projects in GitHub, IEICE Transactions on Information and Systems, Vol. E99-D, No. 5, pp. 1304-1315, May 2016.
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Yuki Kashiwabara, Takashi Ishio, Hideaki Hata, and Katsuro Inoue, Method Verb Recommendation Using Association Rule Mining in a Set of Existing Projects, IEICE Transactions on Information and Systems, Vol. E98-D, No. 3, pp. 627-636, March 2015.
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Saya Onoue, Hideaki Hata, and Kenichi Matsumoto, Developer Classification Based on Developers’ Activities in GitHub, IPSJ Journal, Vol. 56, No. 2, pp. 715-719, February 2015. (in Japanese)
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Yui Sasaki, Tomoya Ishihara, Keisuke Hotta, Hideaki Hata, Yoshiki Higo, Hiroshi Igaki, and Shinji Kusumoto, Simplifying Source Code for Preprocessings of Metrics Measurement, IEICE Trans. on Information and Systems, Vol. J96-D, No. 11, pp. 2634-2645, November 2013. (in Japanese)
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Osamu Mizuno and Hideaki Hata, A Metric to Detect Fault-Prone Software Modules Using Text Classifier, International Journal of Reliability and Safety, Vol. 7, No. 1, pp. 17-31, August 2013.
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Hideaki Hata, Yoshiki Higo, and Shinji Kusumoto, Code Clone Version Control System for Mining Rich Clone Histories, IPSJ Journal, Vol. 54, No. 2, pp. 894-902, February 2013. (in Japanese)
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Hideaki Hata, Osamu Mizuno, and Tohru Kikuno, Fault Prediction on Fine-Grained Modules Based on Historical Metrics, IPSJ Journal, Vol. 53, No. 6, pp. 1635-1643, June 2012. (in Japanese)
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Hideaki Hata, Osamu Mizuno, and Tohru Kikuno, A Systematic Review of Software Fault Prediction Studies and Related Techniques in the Context of Repository Mining, JSSST Computer Software, Vol. 29, No. 1, pp. 106-117, February 2012. (in Japanese)
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Hideaki Hata, Ryosuke Morii, Osamu Mizuno, and Tohru Kikuno, Quantitative Analysis of Method Call Changes Related to Bug Fixing, IPSJ Journal, Vol. 52, No. 2, pp. 801-816, February 2011. (in Japanese)
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Osamu Mizuno and Hideaki Hata, A Comparative Study on Fault-Prone Module Prediction between Spam-Filter Based Approach and Complexity Metrics Based Approach, IEICE Trans. on Information and Systems, Vol. J94-D, No. 1, pp. 409-412, January 2011. (in Japanese)
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Osamu Mizuno and Hideaki Hata, A Hybrid Fault-Proneness Detection Approach Using Text Filtering and Static Code Analysis, International Journal of Advancements in Computing Technology, Vol. 2, No. 5, pp. 1-12, December 2010.
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Hideaki Hata, Osamu Mizuno, and Tohru Kikuno, Fault-Prone Module Detection Using Large-Scale Text Features Based on Spam Filtering, Empirical Software Engineering, Vol. 15, No. 2, pp. 147-165, April 2010. (JCR: 1.776 in 2010)
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Osamu Mizuno and Hideaki Hata, Prediction of Fault-Prone Modules Using a Text Filtering Based Metric, International Journal of Software Engineering and Its Application, Vol. 4, No. 1, pp. 43-52, January 2010.
Conference
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Christoph Treude and Hideaki Hata, She Elicits Requirements and He Tests: Software Engineering Gender Bias in Large Language Models, In Proc. of 20th International Conference on Mining Software Repositories (MSR 2023), pp. 624-629, May 2023. [Dataset] (Acceptance rate: 37.4%)
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Dong Wang, Tao Xiao, Christoph Treude, Raula Gaikovina Kula, Hideaki Hata, and Yasutaka Kamei, Understanding the Role of Images on Stack Overflow, In Proc. of 20th International Conference on Mining Software Repositories (MSR 2023), pp. 377-388, May 2023. [Dataset] (Acceptance rate: 37.4%)
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Pacawat Kangwanwisit, Morakot Choetkiertikul, Chaiyong Ragkhitwetsagul, Thanwadee Sunetnanta, Rungroj Maipradit, Hideaki Hata, and Kenichi Matsumoto, A component recommendation model for issues in software projects, In Proc. of 19th International Joint Conference on Computer Science and Software Engineering (JCSSE 2022), pp. 1-6, June 2022.
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Naomichi Shimada, Tao Xiao, Hideaki Hata, Christoph Treude, and Kenichi Matsumoto, GitHub Sponsors: Exploring a New Way to Contribute to Open Source, In Proc. of 44th IEEE/ACM International Conference on Software Engineering (ICSE 2022), pp. 1058-1069, May 2022. [Dataset] and [Video] (Acceptance rate: 26.2%)
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Saranphon Phaithoon, Supakarn Wongnil, Patiphol Pussawong, Morakot Choetkiertikul, Chaiyong Ragkhitwetsagul, Thanwadee Sunetnanta, Rungroj Maipradit, Hideaki Hata, and Kenichi Matsumoto, FixMe: A GitHub Bot for Detecting and Monitoring On-Hold Self-Admitted Technical Debt, In Proc. of 36th IEEE/ACM International Conference on Automated Software Engineering (ASE 2021), pp. 1257-1261, November 2021. [Tool] and [Video]
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Hideaki Hata, Raula Gaikovina Kula, Takashi Ishio, and Christoph Treude, Research Artifact: The Potential of Meta-Maintenance on GitHub, In Proc. of 43rd IEEE/ACM International Conference on Software Engineering: Companion Proceedings (ICSE-Companion 2021), pp. 192-193, May 2021.
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Hideaki Hata, Raula Gaikovina Kula, Takashi Ishio, and Christoph Treude, Same File, Different Changes: The Potential of Meta-Maintenance on GitHub, In Proc. of 43rd IEEE/ACM International Conference on Software Engineering (ICSE 2021), pp. 773-784, May 2021. [Dataset], [Slides], and [Video] (Acceptance rate: 22.4%)
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Rungroj Maipradit, Bin Lin, Csaba Nagy, Gabriele Bavota, Michele Lanza, Hideaki Hata, and Kenichi Matsumoto, Automated Identification of On-hold Self-admitted Technical Debt, In Proc. of 20th IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM 2020), pp. 54-64, September 2020. [Dataset], [Slides], and [Video] (Acceptance rate: 27.6%)
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Noppadol Assavakamhaenghan, Morakot Choetkiertikul, Suppawong Tuarob, Raula Gaikovina Kula, Hideaki Hata, Chaiyong Ragkhitwetsagul, Thanwadee Sunetnanta, and Kenichi Matsumoto, Software Team Member Configurations: A Study of Team Effectiveness in Moodle, In Proc. of 10th International Workshop on Empirical Software Engineering in Practice (IWESEP 2019), pp. 19-24, December 2019.
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Supatsara Wattanakriengkrai, Napat Srisermphoak, Sahawat Sintoplertchaikul, Morakot Choetkiertikul, Chaiyong Ragkhitwetsagul, Thanwadee Sunetnanta, Hideaki Hata, and Kenichi Matsumoto, Automatic Classifying Self-Admitted Technical Debt Using N-Gram IDF, In Proc. of 26th Asia-Pacific Software Engineering Conference (APSEC 2019), pp. 316-322, December 2019.
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Takeshi D. Itoh, Takatomi Kubo, Kiyoka Ikeda, Yuki Maruno, Yoshiharu Ikutani, Hideaki Hata, Kenichi Matsumoto, and Kazushi Ikeda, Towards generation of visual attention map for source code, In Proc. of 11th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2019), pp. 951-954, November 2019.
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Keitaro Nakasai, Yoshiharu Ikutani, Daiki Takata, Hideaki Hata, and Kenichi Matsumoto, Toward Sustainable Communities with a Community Currency – A Study in Car Sharing, In Proc. of 20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2019), pp. 478-483, July 2019.
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Hideaki Hata, Christoph Treude, Raula Gaikovina Kula, and Takashi Ishio, 9.6 Million Links in Source Code Comments: Purpose, Evolution, and Decay, In Proc. of 41st ACM/IEEE International Conference on Software Engineering (ICSE 2019), pp. 1211-1221, May 2019. [Dataset] and [Slides] (Acceptance rate: 20.6%)
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Yoshiharu Ikutani, Nishanth Koganti, Hideaki Hata, Takatomi Kubo, and Kenichi Matsumoto, Toward Imitating Visual Attention of Experts in Software Development Tasks, In Proc. of 6th International Workshop on Eye Movements in Programming (EMIP 2019), pp. 33-36, May 2019.
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Supatsara Wattanakriengkrai, Rungroj Maipradit, Hideaki Hata, Morakot Choetkiertikul, Thanwadee Sunetnanta, and Kenichi Matsumoto, Identifying Design and Requirement Self-Admitted Technical Debt Using N-Gram IDF, In Proc. of 9th IEEE International Workshop on Empirical Software Engineering in Practice (IWESEP 2018), pp. 7-12, December 2018. (Best Research Paper Award)
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Abdulaziz Alhefdhi, Hoa Khanh Dam, Hideaki Hata, and Aditya Ghose, Generating Pseudo-Code from Source Code Using Deep Learning, In Proc. of 25th Australasian Software Engineering Conference (ASWEC 2018), pp. 21-25, November 2018.
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Daiki Takata, Abdulaziz Alhefdhi, Maipradit Rungroj, Hideaki Hata, Hoa Khanh Dam, Takashi Ishio, and Kenichi Matsumoto, Catalogen: Generating Catalogs of Code Examples Collected from OSS, In Proc. of 3rd International Workshop on Dynamic Software Documentation (DySDoc3), pp. 11-12, September 2018. [Demo] (2018 Docgen Challenge: Challenge Runner-Ups - Usefulness Category)
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Keitaro Nakasai, Masateru Tsunoda, Hideaki Hata, and Kenichi Matsumoto, Identifying Spoofing Accounts on Twitter Based on Relationships of Accounts, In Proc. of 3rd IEEE/ACIS International Conference on Big Data, Cloud Computing, and Data Science Engineering (BCD 2018), July 2018.
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Naoto Ogura, Shinsuke Matsumoto, Hideaki Hata, and Shinji Kusumoto, Bring Your Own Coding Style, In Proc. of 25th IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2018), pp. 527-531, March 2018.
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Nuttapon Lertwittayatrai, Raula Gaikovina Kula, Saya Onoue, Hideaki Hata, Arnon Rungsawang, Pattara Leelaprute, and Kenichi Matsumoto, Extracting Insights from the Topology of the JavaScript Package Ecosystem, In Proc. of 24th Asia-Pacific Software Engineering Conference (APSEC 2017), pp. 298-307, December 2017. [Slides] (Acceptance rate: 27.6%)
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Koji Kitagawa, Mingyu Guo, Kiminao Kogiso, and Hideaki Hata, Utility Design for Two-Player Normal-Form Games, In Proc. of 2017 Asian Control Conference (ASCC 2017), pp. 2077-2082, December 2017.
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Hideaki Hata, Mingyu Guo, and Ali Babar, Understanding the Heterogeneity of Contributors in Bug Bounty Programs, In Proc. of 11th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2017), pp. 223-228, November 2017. [Slides]
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Mingyu Guo, Hideaki Hata, and Ali Babar, Optimizing Affine Maximizer Auctions Via Linear Programming: An Application to Revenue Maximizing Mechanism Design for Zero-Day Exploits Markets, In Proc. of 20th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA 2017), pp. 280-292, October 2017.
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Katsuya Ogami, Raula Gaikovina Kula, Hideaki Hata, Takashi Ishio, and Kenichi Matsumoto, Using High-Rising Cities to Visualize Performance in Real-Time, In Proc. of 5th IEEE Working Conference on Software Visualization (VISSOFT 2017), pp. 33-42, September 2017. [Tool], [Slides], [Video 1], and [Video 2]
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Pannavat Terdchanakul, Hideaki Hata, Passakorn Phannachitta, and Kenichi Matsumoto, Bug or Not? Bug Report Classification using N-Gram IDF, In Proc. of 33rd IEEE International Conference on Software Maintenance and Evolution (ICSME 2017), pp. 534-538, September 2017. [Dataset] and [Slides]
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Keitaro Nakasai, Hideaki Hata, Saya Onoue, and Kenichi Matsumoto, Analysis of Donations in Eclipse Project, In Proc. of 8th IEEE International Workshop on Empirical Software Engineering in Practice (IWESEP 2017), pp. 18-22, March 2017.
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Tetsuya Kanda, Mingyu Guo, Hideaki Hata, and Kenichi Matsumoto, Towards Understanding an Open-Source Bounty: Analysis of Bountysource, In Proc. of 24th IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2017), pp. 577-578, February 2017.
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Tomohiro Ichinose, Kyohei Uemura, Daiki Tanaka, Hideaki Hata, Hajimu Iida, and Kenichi Matsumoto, Rocat on Kataribe: Code Visualization for Communities, In Proc. of 4th International Conference on Applied Computing and Information Technology (ACIT 2016), pp. 158-163, December 2016.
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Akira Inokuchi, Haruaki Tamada, Hideaki Hata, and Masateru Tsunoda, Toward Obliging Bots for Supporting Next Actions, In Proc. of 4th International Conference on Applied Computing and Information Technology (ACIT 2016), pp. 183-188, December 2016.
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Stevche Radevski, Hideaki Hata, and Kenichi Matsumoto, Eyenav: Gaze-Based Code Navigation, In Proc. of 9th Nordic Conference on Human-Computer Interaction (NordiCHI 2016), No. 89, pp. 1-4, October 2016. [Tool], [Video], and [Article]
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Mingyu Guo, Hideaki Hata, and Ali Babar, Revenue Maximizing Markets for Zero-Day Exploits, In Proc. of 19th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA 2016), pp. 247-260, August 2016.
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Yutaka Arakawa, Keiichi Yasumoto, Kenichi Matsumoto, Hideaki Hata, Hirohiko Suwa, Akinori Ihara, and Manato Fujimoto, Project IS^3 : Incentive-based Intelligent Intervention for Smart and Sustainable Society, In Proc. 5th International Congress on Advanced Applied Informatics (IIAI AAI 2016), pp. 215-218, July 2016.
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Kyohei Uemura, Yusuke Saito, Shin Fujiwara, Daiki Tanaka, Kenji Fujiwara, Hideaki Hata, Hajimu Iida, and Kenichi Matsumoto, A Hosting Service of Multi-Language Historage Repositories, In Proc. of 15th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2016), pp. 843-848, June 2016.
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Norihito Kitagawa, Hideaki Hata, Akinori Ihara, Kiminao Kogiso, and Kenichi Matsumoto, Code Review Participation: Game Theoretical Modeling of Reviewers in Gerrit Datasets, In Proc. of 9th International Workshop on Cooperative and Human Aspects of Software Engineering (CHASE 2016), pp. 64-67, May 2016.
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Keitaro Nakasai, Masateru Tsunoda, and Hideaki Hata, Web Search Behaviors for Software Development, In Proc. of 9th International Workshop on Cooperative and Human Aspects of Software Engineering (CHASE 2016), pp. 125-128, May 2016.
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Stevche Radevski, Hideaki Hata, and Kenichi Matsumoto, Towards Building API Usage Example Metrics, In Proc. of 23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2016), pp. 619-623, March 2016.
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Kanako Kina, Masateru Tsunoda, Hideaki Hata, Haruaki Tamada, and Hiroshi Igaki, Analyzing the Decision Criteria of Software Developers Based on Prospect Theory, In Proc. of 23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2016), pp. 644-648, March 2016.
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Yusuke Oda, Hiroyuki Fudaba, Graham Neubig, Hideaki Hata, Sakriani Sakti, Tomoki Toda, and Satoshi Nakamura, Learning to Generate Pseudo-Code from Source Code Using Statistical Machine Translation, In Proc. of 30th IEEE/ACM International Conference on Automated Software Engineering (ASE 2015), p. 574-584, November 2015. [Dataset] and [Slides] (Acceptance rate: 20.8%)
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Hiroyuki Fudaba, Yusuke Oda, Koichi Akabe, Graham Neubig, Hideaki Hata, Sakriani Sakti, Tomoki Toda, and Satoshi Nakamura, Pseudogen: A Tool to Automatically Generate Pseudo-Code from Source Code, In Proc. of 30th IEEE/ACM International Conference on Automated Software Engineering (ASE 2015), p. 824-829, November 2015. [Tool]
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Zhaohong Sun, Hideaki Hata, Taiki Todo, and Makoto Yokoo, Exchange of Indivisible Objects with Asymmetry, In Proc. of 24th International Joint Conference on Artificial Intelligence 2015 (IJCAI-15), pp. 97-103, July 2015.
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Atsushi Itsuda, Shin Fujiwara, Nao Yamasaki, Haruaki Tamada, Hideaki Hata, Masateru Tsunoda, and Hiroshi Igaki, Fu-Rin-Ka-Zan: Quantitative Analysis of Developers Characteristics Based on Project Historical Data, In Proc. of 3rd International Conference on Applied Computing & Information Technology (ACIT 2015), pp. 15-20, July 2015.
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Stevche Radevski, Hideaki Hata, and Kenichi Matsumoto, Real-Time Monitoring of Neural State in Assessing and Improving Software Developers Productivity, In Proc. of 8th International Workshop on Cooperative and Human Aspects of Software Engineering (CHASE 2015), pp. 93-96, May 2015.
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Hideaki Hata, Taiki Todo, Saya Onoue, and Kenichi Matsumoto, Characteristics of Sustainable OSS Projects: A Theoretical and Empirical Study, In Proc. of 8th International Workshop on Cooperative and Human Aspects of Software Engineering (CHASE 2015), pp. 15-21, May 2015. [Slides]
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Yoshiki Higo, Akio Ohtani, Shinpei Hayashi, Hideaki Hata, and Shinji Kusumoto, Toward Reusing Code Changes, In Proc. of 12th Working Conference on Mining Software Repositories (MSR 2015), pp. 372-376, May 2015.
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Masao Ohira, Yutaro Kashiwa, Yosuke Yamatani, Hayato Yoshiyuki, Yoshiya Maeda, Nachai Limsettho, Keisuke Fujino, Hideaki Hata, Akinori Ihara, and Kenichi Matsumoto, A Dataset of High Impact Bugs: Manually-Classified Issue Reports, In Proc. of 12th Working Conference on Mining Software Repositories (MSR 2015), pp. 518-521, May 2015. [Dataset]
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Shin Fujiwara, Hideaki Hata, Akito Monden, and Kenichi Matsumoto, Bug Report Recommendation for Code Inspection, In Proc. of 1st International Workshop on Software Analytics (SWAN 2015), pp. 9-12, March 2015.
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Ryohei Yuzuki, Hideaki Hata, and Kenichi Matsumoto, How We Resolve Conflict: An Empirical Study of Method-Level Conflict Resolution, In Proc. of 1st International Workshop on Software Analytics (SWAN 2015), pp. 21-24, March 2015.
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Masateru Tsunoda, Haruaki Tamada, and Hideaki Hata, How to Classify Personalities of Team Members on Project-Based Learning, In Proc. of Software Engineering Education Workshop (SEEW 2014), December 2014.
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Nachai Limsettho, Hideaki Hata, Akito Monden, and Kenichi Matsumoto, Automatic Unsupervised Bug Reports Categorization, In Proc. of 6th International Workshop on Empirical Software Engineering in Practice (IWESEP 2014), pp. 7-12, November 2014.
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Saya Onoue, Hideaki Hata, and Kenichi Matsumoto, Software Population Pyramids: The Current and the Future of OSS Development Communities, In Proc. of 8th International Symposium on Empirical Software Engineering and Measurement (ESEM 2014), No. 34, pp. 1-4, September 2014. [Slides]
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Papon Yongpisanpop, Hideaki Hata, and Kenichi Matsumoto, Bugarium: 3D Interaction for Supporting Large-Scale Bug Repositories Analysis, In Companion Proc. of 36th International Conference on Software Engineering (ICSE Companion 2014), pp. 500-503, June 2014.
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Nachai Limsettho, Hideaki Hata, and Kenichi Matsumoto, Comparing Hierarchical Dirichlet Process with Latent Dirichlet Allocation in Bug Report Multiclass Classification, In Proc. of 15th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2014), pp. 137-142, June 2014.
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Kenji Fujiwara, Hideaki Hata, Erina Makihara, Yusuke Fujihara, Naoki Nakayama, Hajimu Iida, and Kenichi Matsumoto, Kataribe: A Hosting Service of Historage Repositories, In Proc. of 11th Working Conference on Mining Software Repositories (MSR 2014), pp. 380-383, May 2014.
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Chakkrit Tantithamthavorn, Akinori Ihara, Hideaki Hata, and Kenichi Matsumoto, Impact Analysis of Granularity Levels on Feature Location Technique, In Proc. of 1st Asia Pacific Requirements Engineering Symposium (APRES 2014), pp. 135-149, April 2014.
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Natthakul Pingclasai, Hideaki Hata, and Kenichi Matsumoto, Classifying Bug Reports to Bugs and Other Requests Using Topic Modeling, In Proc. of 5th International Workshop on Empirical Software Engineering in Practice (IWESEP 2013), pp. 13-18, December 2013. [Dataset]
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Saya Onoue, Hideaki Hata, and Kenichi Matsumoto, A Study of the Characteristics of Developers’ Activities in GitHub, In Proc. of 5th International Workshop on Empirical Software Engineering in Practice (IWESEP 2013), pp. 7-12, December 2013. (Best Student Paper Award)
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Yui Sasaki, Tomoya Ishihara, Keisuke Hotta, Hideaki Hata, Yoshiki Higo, Hiroshi Igaki, and Shinji Kusumoto, Preprocessing of Metrics Measurement Based on Simplifying Program Structures, In Proc. of International Workshop on Software Analysis, Testing and Applications (SATA 2012), Vol. 2, pp. 120-127, December 2012.
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Hideaki Hata, Osamu Mizuno, and Tohru Kikuno, Bug Prediction Based on Fine-Grained Module Histories, In Proc. of 34th International Conference on Software Engineering (ICSE 2012), pp. 200-210, June 2012. [Dataset] and [Slides] (Acceptance rate: 21.3%)
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Hideaki Hata, Osamu Mizuno, and Tohru Kikuno, Inferring Restructuring Operations on Logical Structure of Java Source Code, In Proc. of 3rd International Workshop on Empirical Software Engineering in Practice (IWESEP 2011), pp. 17-22, November 2011.
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Hideaki Hata, Osamu Mizuno, and Tohru Kikuno, Historage: Fine-Grained Version Control System for Java, In Proc. of 12th International Workshop on Principles of Software Evolution and 7th Annual ERCIM Workshop on Software Evolution (IWPSE-EVOL 2011), pp. 96-100, September 2011.
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Hideaki Hata, Osamu Mizuno, and Tohru Kikuno, Reconstructing Fine-Grained Versioning Repositories with Git for Method-Level Bug Prediction, In Proc. of International Workshop on Empirical Software Engineering in Practice 2010 (IWESEP 2010), pp. 27-32, December 2010.
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Osamu Mizuno and Hideaki Hata, An Empirical Comparison of Fault-Prone Module Detection Approaches: Complexity Metrics and Text Feature Metrics, In Proc. of 34th Annual IEEE Computer Software and Applications Conference (COMPSAC 2010), pp. 248-249, July 2010.
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Osamu Mizuno and Hideaki Hata, An Integrated Approach to Detect Fault-Prone Modules Using Complexity and Text Feature Metrics, In Proc. of 2010 International Conference on Advanced Science and Technology (AST 2010), pp. 457-468, June 2010.
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Osamu Mizuno and Hideaki Hata, Yet Another Metric for Predicting Fault-Prone Modules, In Proc. of 2009 International Conference on Advanced Software Engineering & Its Applications (ASEA 2009), pp. 296-304, December 2009.
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Hideaki Hata, Osamu Mizuno, and Tohru Kikuno, Comparative Study of Fault-Proneness Filtering with PMD, In Proc. of 19th International Symposium on Software Reliability Engineering (ISSRE 2008), pp. 317-318, November 2008.
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Hideaki Hata, Osamu Mizuno, and Tohru Kikuno, An Extension of Fault-Prone Filtering Using Precise Training and a Dynamic Threshold, In Proc. of 5th Working Conference on Mining Software Repositories (MSR 2008), pp. 89-97, May 2008.
Others
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Daniel Russo, Sebastian Baltes, Niels van Berkel, Paris Avgeriou, Fabio Calefato, Beatriz Cabrero-Daniel, Gemma Catolino, Jürgen Cito, Neil Ernst, Thomas Fritz, Hideaki Hata, Reid Holmes, Maliheh Izadi, Foutse Khomh, Mikkel Baun Kjærgaard, Grischa Liebel, Alberto Lluch Lafuente, Stefano Lambiase, Walid Maalej, Gail Murphy, Nils Brede Moe, Gabrielle O’Brien, Elda Paja, Mauro Pezzè, John Stouby Persson, Rafael Prikladnicki, Paul Ralph, Martin Robillard, Thiago Rocha Silva, Klaas-Jan Stol, Margaret-Anne Storey, Viktoria Stray, Paolo Tell, Christoph Treude, and Bogdan Vasilescu, Generative AI in Software Engineering Must Be Human-Centered: The Copenhagen Manifesto, Journal of Systems and Software, Volume 216, 112115, October 2024.
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Yoshiharu Ikutani, Takatomi Kubo, Satoshi Nishida, Hideaki Hata, Kenichi Matsumoto, Kazushi Ikeda, and Shinji Nishimoto, Toward Identifying the Neural Basis of Programming Expertise: An fMRI Study with Expert Programmers, 20th Winter Workshop on Mechanism of Brain and Mind, Poster session, January 2020.
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Takeshi D. Itoh, Takatomi Kubo, Kiyoka Ikeda, Yoshiharu Ikutani, Yuki Maruno, Hideaki Hata, Kenichi Matsumoto, and Kazushi Ikeda, Contrasting Human and Machine Intelligence for Program Comprehension, 20th Winter Workshop on Mechanism of Brain and Mind, Poster session, January 2020.
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Takeshi D. Itoh, Takatomi Kubo, Kiyoka Ikeda, Yuki Maruno, Yoshiharu Ikutani, Hideaki Hata, Kenichi Matsumoto, and Kazushi Ikeda, Towards generation of visual attention map for source code, 33rd Conference on Neural Information Processing Systems (NeurIPS 2019) Workshop of Context and Compositionality in Biological and Artificial Neural Systems, Poster session, December 2019.
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Supatsara Wattanakriengkrai, Hideaki Hata, and Kenichi Matsumoto, Identifying Publication Citations in Source Code Comments Using BERT, 10th International Workshop on Empirical Software Engineering in Practice (IWESEP 2019), Poster session, December 2019. (Best Poster Award)
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Yoshiharu Ikutani, Takatomi Kubo, Satoshi Nishida, Hideaki Hata, Kenichi Matsumoto, Kazushi Ikeda, and Shinji Nishimoto, Toward Identifying the Neural Basis of Programming Expertise: An fMRI Study with Expert Programmers, APSIPA BioSiPS Workshop 2019, Poster session, August 2019.
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Takeshi D. Itoh, Takatomi Kubo, Kiyoka Ikeda, Yuki Maruno, Yoshiharu Ikutani, Hideaki Hata, Kenichi Matsumoto, and Kazushi Ikeda, A Visual Attention Map for Gaze Behavior Analysis in Source Code Comprehension, APSIPA BioSiPS Workshop 2019, Poster session, August 2019.
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Keitaro Nakasai, Hideaki Hata, and Kenichi Matsumoto, Impact of Donation Badges on Response Time for Eclipse Bug Reports, 9th International Workshop on Empirical Software Engineering in Practice (IWESEP 2018), Poster session, December 2018.
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Daiki Takata, Hideaki Hata, and Kenichi Matsumoto, Bridging the Gap between Floss Development and Online Judges, 9th International Workshop on Empirical Software Engineering in Practice (IWESEP 2018), Poster session, December 2018.
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Yusuf Sulistyo Nugroho, Hideaki Hata, and Kenichi Matsumoto, Let’s Put –Histogram to Git Diff When Mining Code Histories, 9th International Workshop on Empirical Software Engineering in Practice (IWESEP 2018), Poster session, December 2018.
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Rungroj Maipradit, Hideaki Hata, and Kenichi Matsumoto, Software Document Classification with N-Gram IDF and Auto-Sklearn, 9th International Workshop on Empirical Software Engineering in Practice (IWESEP 2018), Poster session, December 2018.
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Katsuya Ogami, Hideaki Hata, and Kenichi Matsumoto, Development of a Real-Time 3D Java Profiler, 8th IEEE International Workshop on Empirical Software Engineering in Practice (IWESEP 2017), Poster session, March 2017. (Best Poster Award)
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Stevche Radevski, Vermille Ann Saw, Hideaki Hata, and Kenichi Matsumoto, Source Code or Natural Language?, 7th International Workshop on Empirical Software Engineering in Practice (IWESEP 2016), Poster session, March 2016. (Best Poster Award)
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Pannavat Terdchanakul, Passakorn Phannachitta, Hideaki Hata, and Kenichi Matsumoto, Which Gems Should I Use: A Case Study on Ruby Gems, 7th International Workshop on Empirical Software Engineering in Practice (IWESEP 2016), Poster session, March 2016.
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Yusaku Noriyuki, Hideaki Hata, and Kenichi Matsumoto, A Study of the Growth of Programmers by Mining Programming Learning Website Datasets, 7th International Workshop on Empirical Software Engineering in Practice (IWESEP 2016), Poster session, March 2016.
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Norihito Kitagawa, Hideaki Hata, Akinori Ihara, Kenichi Matsumoto, and Kiminao Kogiso, A Theoretical and Empirical Study of Cooperation in Code Review, MSR Asia Summit 2015, Poster session, October 2015.
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Tomohiro Ichinose, Hideaki Hata, and Kenichi Matsumoto, Gamification with Code Visualization on Software Development, MSR Asia Summit 2015, Poster session, October 2015.
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Yusaku Noriyuki, Hideaki Hata, and Kenichi Matsumoto, A Study of the Characteristics of Programmers by Mining Programming Competition Datasets, MSR Asia Summit 2015, Poster session, October 2015.
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Norihito Kitagawa, Hideaki Hata, Kenichi Matsumoto, and Kiminao Kogiso, Estimating Developers’ Believes in OSS Contributions: A Game Theoretical Approach, MSR Asia Summit 2014, Poster session, November 2014.
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Shin Fujiwara, Hideaki Hata, Akito Monden, and Kenichi Matsumoto, Recommending Bug Reports for Debugging, 6th International Workshop on Empirical Software Engineering in Practice (IWESEP 2014), Poster session, November 2014.
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Stevche Radevski, Hideaki Hata, and Kenichi Matsumoto, Monitoring Neural State in Assessing and Improving Software Developers Productivity, MSR Asia Summit 2014, Poster session, November 2014.
Activities
Journal
- Editorial Board member
- Associate Editor
- IEICE Transactions on Information and Systems (2021-2017)
- Guest Editor-in-Chief
- Guest Associate Editor-in-Chief
- Special Section on Empirical Software Engineering (2022) in IEICE Transactions on Information and Systems
- Review
- IEEE Transactions on Software Engineering
- Empirical Software Engineering
- ACM Transactions on Software Engineering and Methodology
- Journal of Systems and Software
- Information and Software Technology
- IEEE Software
- Automated Software Engineering
- Expert Systems with Applications
- Software Quality Journal
- Science of Computer Programming
- PeerJ Computer Science
- IEEE Transactions on Reliability
- IEEE Transactions on Emerging Topics in Computational Intelligence
- IEEE Transactions on Services Computing
- IEICE Transactions on Information and Systems
Conference
- 2025
- 2024
- 2023
- 2022
- 2021
- 2020
- 2019
- 2018
- SANER (ERA track review), APSEC (Local arrangement co-chair, Technical Research papers Track PC member, Early Research Achievements Track PC member), CHASE (PC member), SEmotion (PC member), COMPSAC (PC member), IWESEP (Finance co-chair and Steering member), BCD (PC member), DySDoc (Data and PC member)
- 2017
- 2016
- 2015
- COMPSAC (PC member)
- 2014
- 2013
- IWESEP (Tutorial chair and PC member)
- 2012
- IWESEP (PC member)
- 2011
- IWESEP (PC member)
- 2010
- IWESEP (PC member)