| 2026 | MSR | Toward Linking Declined Proposals and Source Code: An Exploratory Study on the Go Repository. | Sota Nakashima, Masanari Kondo, Mahmoud Alfadel, Aly Ahmad, Toshihiro Nakae, Hidenori Matsuzaki, Yasutaka Kamei |
| 2026 | SANER | Leveraging Mutation Analysis for LLM-Based Repair of Quantum Programs. | Chihiro Yoshida, Yuta Ishimoto, Olivier Nourry, Masanari Kondo, Makoto Matsushita, Yasutaka Kamei, Yoshiki Higo |
| 2025 | APSEC | How Far Have LLMs Come Toward Automated SATD Taxonomy Construction? | Sota Nakashima, Yuta Ishimoto, Masanari Kondo, Tao Xiao, Yasutaka Kamei |
| 2025 | APSEC | AILinkPreviewer: Enhancing Code Reviews with LLM-Powered Link Previews. | Panya Trakoolgerntong, Tao Xiao, Masanari Kondo, Chaiyong Ragkhitwetsagul, Morakot Choetkiertikul, Pattaraporn Sangaroonsilp, Yasutaka Kamei |
| 2025 | EASE | Evaluating Mutation-based Fault Localization for Quantum Programs. | Yuta Ishimoto, Masanari Kondo, Naoyasu Ubayashi, Yasutaka Kamei, Ryota Katsube, Naoto Sato, Hideto Ogawa |
| 2025 | ESEM | How Small is Enough? Empirical Evidence of Quantized Small Language Models for Automated Program Repair. | Kazuki Kusama, Honglin Shu, Masanari Kondo, Yasutaka Kamei |
| 2025 | ISSTA | A Preliminary Study of Large Language Models for Multilingual Vulnerability Detection. | Junji Yu, Honglin Shu, Michael Fu, Dong Wang, Chakkrit Tantithamthavorn, Yasutaka Kamei, Junjie Chen |
| 2024 | APSEC | An Empirical Study on Self-Admitted Technical Debt in Quantum Software. | Yuta Ishimoto, Yuto Nakamura, Ryota Katsube, Naoto Sato, Hideto Ogawa, Masanari Kondo, Yasutaka Kamei, Naoyasu Ubayashi |
| 2024 | ISSTA | Large Language Models for Equivalent Mutant Detection: How Far Are We? | Zhao Tian, Honglin Shu, Dong Wang, Xuejie Cao, Yasutaka Kamei, Junjie Chen |
| 2024 | MSR | Exploring the Effect of Multiple Natural Languages on Code Suggestion Using GitHub Copilot. | Kei Koyanagi, Dong Wang, Kotaro Noguchi, Masanari Kondo, Alexander Serebrenik, Yasutaka Kamei, Naoyasu Ubayashi |
| 2023 | CAIN | An Initial Analysis of Repair and Side-effect Prediction for Neural Networks. | Yuta Ishimoto, Ken Matsui, Masanari Kondo, Naoyasu Ubayashi, Yasutaka Kamei |
| 2023 | COMPSAC | Towards Better Online Communication for Future Software Development in Industry. | Masanari Kondo, Shinobu Saito, Yukako Iimura, Eunjong Choi, Osamu Mizuno, Yasutaka Kamei, Naoyasu Ubayashi |
| 2023 | MSR | Understanding the Role of Images on Stack Overflow. | Dong Wang, Tao Xiao, Christoph Treude, Raula Gaikovina Kula, Hideaki Hata, Yasutaka Kamei |
| 2023 | QRS | Uncertainty-aware Metamorphic Testing for Robust Object Detection Models. | Jianhong Wang, Yuta Ishimoto, Masanari Kondo, Yasutaka Kamei, Naoyasu Ubayashi |
| 2022 | COMPSAC | Evaluating Automated Program Repair Techniques using Introductory Programming Course Datasets. | Tsukasa Nakamura, Masanari Kondo, Yasutaka Kamei, Naoyasu Ubayashi |
| 2022 | COMPSAC | Hey APR! Integrate Our Fault Localization Skill: Toward Better Automated Program Repair. | Kyosuke Yamate, Masanari Kondo, Yutaro Kashiwa, Yasutaka Kamei, Naoyasu Ubayashi |
| 2022 | MSR | Challenges and Future Research Direction for Microtask Programming in Industry. | Masanari Kondo, Shinobu Saito, Yukako Iimura, Eunjong Choi, Osamu Mizuno, Yasutaka Kamei, Naoyasu Ubayashi |
| 2021 | QRS | Towards Better Coverage of Dataset with Software Product Line Engineering. | Lei Shi, Masanari Kondo, Naoyasu Ubayashi, Yasutaka Kamei |
| 2021 | SCAM | PYREF: Refactoring Detection in Python Projects. | Hassan Atwi, Bin Lin, Nikolaos Tsantalis, Yutaro Kashiwa, Yasutaka Kamei, Naoyasu Ubayashi, Gabriele Bavota, Michele Lanza |
| 2020 | QRS | How Fast and Effectively Can Code Change History Enrich Stack Overflow? | Ryujiro Nishinaka, Naoyasu Ubayashi, Yasutaka Kamei, Ryosuke Sato |
| 2019 | ICSE | GreenBundle: an empirical study on the energy impact of bundled processing. | Shaiful Alam Chowdhury, Abram Hindle, Rick Kazman, Takumi Shuto, Ken Matsui, Yasutaka Kamei |
| 2019 | ICSE | Towards effective AI-powered agile project management. | Hoa Khanh Dam, Truyen Tran, John C. Grundy, Aditya Ghose, Yasutaka Kamei |
| 2019 | ICSE | Git-based integrated uncertainty manager. | Naoyasu Ubayashi, Takuya Watanabe, Yasutaka Kamei, Ryosuke Sato |
| 2019 | MSR | DeepJIT: an end-to-end deep learning framework for just-in-time defect prediction. | Thong Hoang, Hoa Khanh Dam, Yasutaka Kamei, David Lo, Naoyasu Ubayashi |
| 2019 | QRS | When and Why Do Software Developers Face Uncertainty? | Naoyasu Ubayashi, Yasutaka Kamei, Ryosuke Sato |
| 2018 | ESEM | Automatic topic classification of test cases using text mining at an Android smartphone vendor. | Junji Shimagaki, Yasutaka Kamei, Naoyasu Ubayashi, Abram Hindle |
| 2018 | ICSE | Are fix-inducing changes a moving target?: a longitudinal case study of just-in-time defect prediction. | Shane McIntosh, Yasutaka Kamei |
| 2018 | ICSE | Exploring uncertainty in GitHub OSS projects: when and how do developers face uncertainty? | Naoyasu Ubayashi, Hokuto Muraoka, Daiki Muramoto, Yasutaka Kamei, Ryosuke Sato |
| 2018 | ICSoft | iArch-U/MC: An Uncertainty-Aware Model Checker for Embracing Known Unknowns. | Naoyasu Ubayashi, Yasutaka Kamei, Ryosuke Sato |
| 2018 | ICSoft | Modular Programming and Reasoning for Living with Uncertainty. | Naoyasu Ubayashi, Yasutaka Kamei, Ryosuke Sato |
| 2018 | MODELSWARD | Can Abstraction Be Taught? Refactoring-based Abstraction Learning. | Naoyasu Ubayashi, Yasutaka Kamei, Ryosuke Sato |
| 2018 | MSR | Empirical study on the relationship between developer's working habits and efficiency. | Ariel Rodrguez, Fumiya Tanaka, Yasutaka Kamei |
| 2017 | ICSE | iArch-U: Interface-Centric Integrated Uncertainty-Aware Development Environment. | Keisuke Watanabe, Naoyasu Ubayashi, Takuya Fukamachi, Shunya Nakamura, Hokuto Muraoka, Yasutaka Kamei |
| 2017 | ICST | Automated A/B Testing with Declarative Variability Expressions. | Keisuke Watanabe, Takuya Fukamachi, Naoyasu Ubayashi, Yasutaka Kamei |
| 2017 | MSR | The impact of using regression models to build defect classifiers. | Gopi Krishnan Rajbahadur, Shaowei Wang, Yasutaka Kamei, Ahmed E. Hassan |
| 2016 | APSEC | Using Analytics to Quantify Interest of Self-Admitted Technical Debt. | Yasutaka Kamei, Everton da S. Maldonado, Emad Shihab, Naoyasu Ubayashi |
| 2016 | COMPSAC | Investigating the Effects of Balanced Training and Testing Datasets on Effort-Aware Fault Prediction Models. | Kwabena Ebo Bennin, Jacky W. Keung, Akito Monden, Yasutaka Kamei, Naoyasu Ubayashi |
| 2016 | ESEM | The Impact of Task Granularity on Co-evolution Analyses. | Keisuke Miura, Shane McIntosh, Yasutaka Kamei, Ahmed E. Hassan, Naoyasu Ubayashi |
| 2016 | ESEM | Predicting Crashing Releases of Mobile Applications. | Xin Xia, Emad Shihab, Yasutaka Kamei, David Lo, Xinyu Wang |
| 2016 | ICSE | A study of the quality-impacting practices of modern code review at Sony mobile. | Junji Shimagaki, Yasutaka Kamei, Shane McIntosh, Ahmed E. Hassan, Naoyasu Ubayashi |
| 2016 | QRS | Empirical Evaluation of Cross-Release Effort-Aware Defect Prediction Models. | Kwabena Ebo Bennin, Koji Toda, Yasutaka Kamei, Jacky Keung, Akito Monden, Naoyasu Ubayashi |
| 2016 | QRS | Thresholds for Size and Complexity Metrics: A Case Study from the Perspective of Defect Density. | Kazuhiro Yamashita, Changyun Huang, Meiyappan Nagappan, Yasutaka Kamei, Audris Mockus, Ahmed E. Hassan, Naoyasu Ubayashi |
| 2016 | SAC | A review and comparison of methods for determining the best analogies in analogy-based software effort estimation. | Bodin Chinthanet, Passakorn Phannachitta, Yasutaka Kamei, Pattara Leelaprute, Arnon Rungsawang, Naoyasu Ubayashi, Ken-ichi Matsumoto |
| 2015 | ICSE | Modularity for Uncertainty. | Takuya Fukamachi, Naoyasu Ubayashi, Shintaro Hosoai, Yasutaka Kamei |
| 2015 | ICSE | Poster: Conquering Uncertainty in Java Programming. | Takuya Fukamachi, Naoyasu Ubayashi, Shintaro Hosoai, Yasutaka Kamei |
| 2015 | MODELSWARD | Automated DSL Construction Based on Software Product Lines. | Changyun Huang, Ataru Osaka, Yasutaka Kamei, Naoyasu Ubayashi |
| 2014 | ICSE | Quantifying programmers' mental workload during program comprehension based on cerebral blood flow measurement: a controlled experiment. | Takao Nakagawa, Yasutaka Kamei, Hidetake Uwano, Akito Monden, Ken-ichi Matsumoto, Daniel M. Germn |
| 2014 | MODELSWARD | iArch - An IDE for Supporting Abstraction-aware Design Traceability. | Di Ai, Naoyasu Ubayashi, Peiyuan Li, Shintaro Hosoai, Yasutaka Kamei |
| 2014 | MSR | An empirical study of just-in-time defect prediction using cross-project models. | Takafumi Fukushima, Yasutaka Kamei, Shane McIntosh, Kazuhiro Yamashita, Naoyasu Ubayashi |
| 2014 | MSR | The impact of code review coverage and code review participation on software quality: a case study of the qt, VTK, and ITK projects. | Shane McIntosh, Yasutaka Kamei, Bram Adams, Ahmed E. Hassan |
| 2014 | MSR | Magnet or sticky? an OSS project-by-project typology. | Kazuhiro Yamashita, Shane McIntosh, Yasutaka Kamei, Naoyasu Ubayashi |
| 2013 | ECOOP | Archface4COP: architectural interface for context-oriented programming. | Naoyasu Ubayashi, Di Ai, Yasutaka Kamei |
| 2013 | ICSE | Domain analysis for mining software repositories: Towards feature-based DSL construction. | Changyun Huang, Kazuhiro Yamashita, Yasutaka Kamei, Kenji Hisazumi, Naoyasu Ubayashi |
| 2013 | ICSE | Design module: a modularity vision beyond code: not only program code but also a design model is a module. | Naoyasu Ubayashi, Yasutaka Kamei |
| 2013 | MODELSWARD | UML-based Design and Verification Method for Developing Dependable Context-aware Systems. | Naoyasu Ubayashi, Yasutaka Kamei |
| 2013 | MSR | Revisiting software development effort estimation based on early phase development activities. | Masateru Tsunoda, Koji Toda, Kyohei Fushida, Yasutaka Kamei, Meiyappan Nagappan, Naoyasu Ubayashi |
| 2013 | SNPD | An Authentication Method with Spatiotemporal Interval and Partial Matching. | Masateru Tsunoda, Kyohei Fushida, Yasutaka Kamei, Masahide Nakamura, Kohei Mitsui, Keita Goto, Ken-ichi Matsumoto |
| 2013 | SPLC | Using alloy to support feature-based DSL construction for mining software repositories. | Changyun Huang, Yasutaka Kamei, Kazuhiro Yamashita, Naoyasu Ubayashi |
| 2012 | APSEC | An Investigation on Software Bug-Fix Prediction for Open Source Software Projects - A Case Study on the Eclipse Project. | Akinori Ihara, Yasutaka Kamei, Akito Monden, Masao Ohira, Jacky Wai Keung, Naoyasu Ubayashi, Ken-ichi Matsumoto |
| 2012 | APSEC | A Heuristic Rule Reduction Approach to Software Fault-proneness Prediction. | Akito Monden, Jacky Wai Keung, Shuji Morisaki, Yasutaka Kamei, Ken-ichi Matsumoto |
| 2012 | ICSE | Using the GPGPU for scaling up Mining Software Repositories. | Rina Nagano, Hiroki Nakamura, Yasutaka Kamei, Bram Adams, Kenji Hisazumi, Naoyasu Ubayashi, Akira Fukuda |
| 2012 | ICSE | Verifiable architectural interface for supporting model-driven development with adequate abstraction level. | Naoyasu Ubayashi, Yasutaka Kamei |
| 2012 | MSR | Mining challenge 2012: The Android platform. | Emad Shihab, Yasutaka Kamei, Pamela Bhattacharya |
| 2012 | OOPSLA | UML4COP: UML-based DSML for context-aware systems. | Naoyasu Ubayashi, Yasutaka Kamei |
| 2011 | CaiSE | Stepwise Context Boundary Exploration Using Guide Words. | Naoyasu Ubayashi, Yasutaka Kamei |
| 2011 | CaiSE | Stepwise Context Boundary Exploration Using Guide Words. | Naoyasu Ubayashi, Yasutaka Kamei |
| 2011 | ECOOP | CJAdviser: SMT-based debugging support for ContextJ. | Shizuka Uchio, Naoyasu Ubayashi, Yasutaka Kamei |
| 2011 | ICSE | An empirical study of build maintenance effort. | Shane McIntosh, Bram Adams, Thanh H. D. Nguyen, Yasutaka Kamei, Ahmed E. Hassan |
| 2011 | RE | A context analysis method for embedded systems - Exploring a requirement boundary between a system and its context. | Naoyasu Ubayashi, Yasutaka Kamei, Masayuki Hirayama, Tetsuo Tamai |
| 2011 | SEKE | Debug Concern Navigator. | Masaru Shiozuka, Naoyasu Ubayashi, Yasutaka Kamei |
| 2008 | ESEM | An over-sampling method for analogy-based software effort estimation. | Yasutaka Kamei, Jacky Wai Keung, Akito Monden, Ken-ichi Matsumoto |
| 2008 | ESEM | A hybrid faulty module prediction using association rule mining and logistic regression analysis. | Yasutaka Kamei, Akito Monden, Shuji Morisaki, Ken-ichi Matsumoto |
| 2007 | ESEM | The Effects of Over and Under Sampling on Fault-prone Module Detection. | Yasutaka Kamei, Akito Monden, Shinsuke Matsumoto, Takeshi Kakimoto, Ken-ichi Matsumoto |
| 2007 | ESEM | Comparison of Outlier Detection Methods in Fault-proneness Models. | Shinsuke Matsumoto, Yasutaka Kamei, Akito Monden, Ken-ichi Matsumoto |
| 2006 | MSR | Using software birthmarks to identify similar classes and major functionalities. | Takeshi Kakimoto, Akito Monden, Yasutaka Kamei, Haruaki Tamada, Masateru Tsunoda, Ken-ichi Matsumoto |
| 2006 | MSR | Analyzing OSS developers' working time using mailing lists archives. | Masateru Tsunoda, Akito Monden, Takeshi Kakimoto, Yasutaka Kamei, Ken-ichi Matsumoto |