Analysis on Causal-Effect Relationship in Effort Metrics Using Bayesian LiNGAM. - Masanari Kondo; Osamu Mizuno (ISSRE Workshops, 2016)

An Empirical Study of Source Code Detection Using Image Classification. - Juntong Hong; Osamu Mizuno; Masanari Kondo (IWESEP, 2019)

The impact of feature reduction techniques on defect prediction models. - Masanari Kondo; Cor-Paul Bezemer; Yasutaka Kamei; Ahmed E. Hassan; Osamu Mizuno (Empir. Softw. Eng., 2019)

An Empirical Study of Utilization of Imperative Modules in Ansible. - Shoma Kokuryo; Masanari Kondo; Osamu Mizuno (QRS, 2020)

Which Metrics Should Researchers Use to Collect Repositories: An Empirical Study. - Kai Yamamoto; Masanari Kondo; Kinari Nishiura; Osamu Mizuno (QRS, 2020)

The impact of context metrics on just-in-time defect prediction. - Masanari Kondo; Daniel M. Germán; Osamu Mizuno; Eun-Hye Choi (Empir. Softw. Eng., 2020)

Code cloning in smart contracts: a case study on verified contracts from the Ethereum blockchain platform. - Masanari Kondo; Gustavo Ansaldi Oliva; Zhen Ming (Jack) Jiang; Ahmed E. Hassan; Osamu Mizuno (Empir. Softw. Eng., 2020)

Towards Better Coverage of Dataset with Software Product Line Engineering. - Lei Shi; Masanari Kondo; Naoyasu Ubayashi; Yasutaka Kamei (QRS Companion, 2021)

Evaluating Automated Program Repair Techniques using Introductory Programming Course Datasets. - Tsukasa Nakamura; Masanari Kondo; Yasutaka Kamei; Naoyasu Ubayashi (COMPSAC, 2022)

Hey APR! Integrate Our Fault Localization Skill: Toward Better Automated Program Repair. - Kyosuke Yamate; Masanari Kondo; Yutaro Kashiwa; Yasutaka Kamei; Naoyasu Ubayashi (COMPSAC, 2022)

Do visual issue reports help developers fix bugs?: a preliminary study of using videos and images to report issues on GitHub. - Hiroki Kuramoto; Masanari Kondo; Yutaro Kashiwa; Yuta Ishimoto; Kaze Shindo; Yasutaka Kamei; Naoyasu Ubayashi (ICPC, 2022)

Challenges and Future Research Direction for Microtask Programming in Industry. - Masanari Kondo; Shinobu Saito; Yukako Iimura; Eunjong Choi; Osamu Mizuno; Yasutaka Kamei; Naoyasu Ubayashi (MSR, 2022)

An empirical study of issue-link algorithms: which issue-link algorithms should we use? - Masanari Kondo; Yutaro Kashiwa; Yasutaka Kamei; Osamu Mizuno (Empir. Softw. Eng., 2022)

An empirical study on self-admitted technical debt in modern code review. - Yutaro Kashiwa; Ryoma Nishikawa; Yasutaka Kamei; Masanari Kondo; Emad Shihab; Ryosuke Sato 001; Naoyasu Ubayashi (Inf. Softw. Technol., 2022)

An Initial Analysis of Repair and Side-effect Prediction for Neural Networks. - Yuta Ishimoto; Ken Matsui; Masanari Kondo; Naoyasu Ubayashi; Yasutaka Kamei (CAIN, 2023)

Towards Better Online Communication for Future Software Development in Industry. - Masanari Kondo; Shinobu Saito; Yukako Iimura; Eunjong Choi; Osamu Mizuno; Yasutaka Kamei; Naoyasu Ubayashi (COMPSAC, 2023)

Uncertainty-aware Metamorphic Testing for Robust Object Detection Models. - Jianhong Wang; Yuta Ishimoto; Masanari Kondo; Yasutaka Kamei; Naoyasu Ubayashi (QRS Companion, 2023)

Towards Privacy Preserving Cross Project Defect Prediction with Federated Learning. - Hiroki Yamamoto; Dong Wang 044; Gopi Krishnan Rajbahadur; Masanari Kondo; Yasutaka Kamei; Naoyasu Ubayashi (SANER, 2023)

PAFL: Probabilistic Automaton-based Fault Localization for Recurrent Neural Networks. - Yuta Ishimoto; Masanari Kondo; Naoyasu Ubayashi; Yasutaka Kamei (Inf. Softw. Technol., 2023)

Commit-Based Class-Level Defect Prediction for Python Projects. - Khine Yin Mon; Masanari Kondo; Eunjong Choi; Osamu Mizuno (IEICE Trans. Inf. Syst., 2023)

When conversations turn into work: a taxonomy of converted discussions and issues in GitHub. - Dong Wang 044; Masanari Kondo; Yasutaka Kamei; Raula Gaikovina Kula; Naoyasu Ubayashi (Empir. Softw. Eng., 2023)

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 (APSEC, 2024)

Exploring the Adoption of Fuzz Testing in Open-Source Software: A Case Study of the Go Community. - Olivier Nourry; Masanari Kondo; Mahmoud Alfadel; Shane McIntosh; Yasutaka Kamei (ICSME, 2024)

Exploring the Effect of Multiple Natural Languages on Code Suggestion Using GitHub Copilot. - Kei Koyanagi; Dong Wang 044; Kotaro Noguchi; Masanari Kondo; Alexander Serebrenik; Yasutaka Kamei; Naoyasu Ubayashi (MSR, 2024)

TraceJIT: Evaluating the Impact of Behavioral Code Change on Just-In-Time Defect Prediction. - Issei Morita; Yutaro Kashiwa; Masanari Kondo; Jeongju Sohn; Shane McIntosh; Yasutaka Kamei; Naoyasu Ubayashi (SANER, 2024)

Benefits and Pitfalls of Token-Level SZZ: An Empirical Study on OSS Projects. - Hiroya Watanabe; Masanari Kondo; Eunjong Choi; Osamu Mizuno (SANER, 2024)

OSS Myths and Facts. - Yukako Iimura; Masanari Kondo; Kazushi Tomoto; Yasutaka Kamei; Naoyasu Ubayashi; Shinobu Saito (CoRR, 2024)

Myth: The loss of core developers is a critical issue for OSS communities. - Olivier Nourry; Masanari Kondo; Shinobu Saito; Yukako Iimura; Naoyasu Ubayashi; Yasutaka Kamei (CoRR, 2024)

Understanding the characteristics and the role of visual issue reports. - Hiroki Kuramoto; Dong Wang 044; Masanari Kondo; Yutaro Kashiwa; Yasutaka Kamei; Naoyasu Ubayashi (Empir. Softw. Eng., 2024)

An empirical study of token-based micro commits. - Masanari Kondo; Daniel M. Germán; Yasutaka Kamei; Naoyasu Ubayashi; Osamu Mizuno (Empir. Softw. Eng., 2024)

Evaluating Mutation-based Fault Localization for Quantum Programs. - Yuta Ishimoto; Masanari Kondo; Naoyasu Ubayashi; Yasutaka Kamei; Ryota Katsube; Naoto Sato; Hideto Ogawa (CoRR, 2025)

Repairs and Breaks Prediction for Deep Neural Networks. - Yuta Ishimoto; Masanari Kondo; Lei Ma 003; Naoyasu Ubayashi; Yasutaka Kamei (ACM Trans. Softw. Eng. Methodol., 2025)

ASTAGEN: Empirical Evaluation of Automated SATD Taxonomy Generation with LLMs. - Sota Nakashima; Yuta Ishimoto; Masanari Kondo; Tao Xiao; Yasutaka Kamei (CoRR, 2025)