Masanari Kondo

According to our database, Masanari Kondo authored at least 46 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

MV-SZZ: An Empirical Study of a Majority Voting-Based SZZ Method.

Inase Kondo, Masanari Kondo, Daniel M. Germán, Yasutaka Kamei, Yoshiki Higo

IEEE Trans. Software Eng., June, 2026

Leveraging Language Models for Log Statement Generation in Multilingual Scenarios: How Far Are We?

Kazuki Kusama, Honglin Shu, Masanari Kondo, Yasutaka Kamei

CoRR, May, 2026

"Refactoring Runaway": Understanding and Mitigating Tangled Refactorings in Coding Agents for Issue Resolution.

Zhao Tian, Zifan Zhang, Tao Xiao, Dong Wang, Masanari Kondo, Junjie Chen, Yasutaka Kamei

CoRR, May, 2026

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

CoRR, February, 2026

Why Agentic-PRs Get Rejected: A Comparative Study of Coding Agents.

Sota Nakashima, Yuta Ishimoto, Masanari Kondo, Shane Mclntosh, Yasutaka Kamei

CoRR, February, 2026

Leveraging Mutation Analysis for LLM-based Repair of Quantum Programs.

Chihiro Yoshida, Yuta Ishimoto, Olivier Nourry, Masanari Kondo, Makoto Matsushita, Yasutaka Kamei, Yoshiki Higo

CoRR, January, 2026

2025

An empirical study on declined proposals: why are these proposals declined?

Masanari Kondo, Mahmoud Alfadel, Shane McIntosh, Yasutaka Kamei, Naoyasu Ubayashi

CoRR, October, 2025

Mind the Gap: A Decade-Scale Empirical Study of Multi-Stakeholder Dynamics in VR Ecosystem.

Yijun Lu, Hironori Washizaki, Naoyasu Ubayashi, Nobukazu Yoshioka, Chenhao Wu, Masanari Kondo, Yuyin Ma, Jiong Dong, Jianjin Zhao, Dongqi Han

CoRR, August, 2025

ASTAGEN: Empirical Evaluation of Automated SATD Taxonomy Generation with LLMs.

Sota Nakashima, Yuta Ishimoto, Masanari Kondo, Tao Xiao, Yasutaka Kamei

CoRR, June, 2025

Repairs and Breaks Prediction for Deep Neural Networks.

Yuta Ishimoto, Masanari Kondo, Lei Ma, Naoyasu Ubayashi, Yasutaka Kamei

ACM Trans. Softw. Eng. Methodol., May, 2025

Abandonment and Resilience: Understanding Core Developer Turnover in Open-Source Software.

Olivier Nourry, Masanari Kondo, Shinobu Saito, Yukako Iimura, Naoyasu Ubayashi, Yasutaka Kamei

IEICE Trans. Inf. Syst., 2025

A Preliminary Study on Large Language Models Self-Negotiation in Software Engineering.

Chunrun Tao, Honglin Shu, Masanari Kondo, Yasutaka Kamei

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2025

How Small is Enough? Empirical Evidence of Quantized Small Language Models for Automated Program Repair.

Kazuki Kusama, Honglin Shu, Masanari Kondo, Yasutaka Kamei

Proceedings of the ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2025

Evaluating Mutation-based Fault Localization for Quantum Programs.

Yuta Ishimoto, Masanari Kondo, Naoyasu Ubayashi, Yasutaka Kamei, Ryota Katsube, Naoto Sato, Hideto Ogawa

Proceedings of the 29th International Conference on Evaluation and Assessment in Software Engineering, 2025

AILinkPreviewer: Enhancing Code Reviews with LLM-Powered Link Previews.

Panya Trakoolgerntong, Tao Xiao, Masanari Kondo, Chaiyong Ragkhitwetsagul, Morakot Choetkiertikul, Pattaraporn Sangaroonsilp, Yasutaka Kamei

Proceedings of the 32nd Asia-Pacific Software Engineering Conference, 2025

How Far Have LLMs Come Toward Automated SATD Taxonomy Construction?

Sota Nakashima, Yuta Ishimoto, Masanari Kondo, Tao Xiao, Yasutaka Kamei

Proceedings of the 32nd Asia-Pacific Software Engineering Conference, 2025

2024

An empirical study of token-based micro commits.

Masanari Kondo, Daniel M. Germán, Yasutaka Kamei, Naoyasu Ubayashi, Osamu Mizuno

Empir. Softw. Eng., November, 2024

Understanding the characteristics and the role of visual issue reports.

Hiroki Kuramoto, Dong Wang, Masanari Kondo, Yutaro Kashiwa, Yasutaka Kamei, Naoyasu Ubayashi

Empir. Softw. Eng., July, 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

OSS Myths and Facts.

Yukako Iimura, Masanari Kondo, Kazushi Tomoto, Yasutaka Kamei, Naoyasu Ubayashi, Shinobu Saito

CoRR, 2024

Benefits and Pitfalls of Token-Level SZZ: An Empirical Study on OSS Projects.

Hiroya Watanabe, Masanari Kondo, Eunjong Choi, Osamu Mizuno

Proceedings of the IEEE International Conference on Software Analysis, 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

Proceedings of the IEEE International Conference on Software Analysis, 2024

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

Proceedings of the 21st IEEE/ACM International Conference on Mining Software Repositories, 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

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2024

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

Proceedings of the 31st Asia-Pacific Software Engineering Conference, 2024

2023

When conversations turn into work: a taxonomy of converted discussions and issues in GitHub.

Dong Wang, Masanari Kondo, Yasutaka Kamei, Raula Gaikovina Kula, Naoyasu Ubayashi

Empir. Softw. Eng., November, 2023

Commit-Based Class-Level Defect Prediction for Python Projects.

Khine Yin Mon, Masanari Kondo, Eunjong Choi, Osamu Mizuno

IEICE Trans. Inf. Syst., February, 2023

PAFL: Probabilistic Automaton-based Fault Localization for Recurrent Neural Networks.

Yuta Ishimoto, Masanari Kondo, Naoyasu Ubayashi, Yasutaka Kamei

Inf. Softw. Technol., 2023

Towards Privacy Preserving Cross Project Defect Prediction with Federated Learning.

Hiroki Yamamoto, Dong Wang, Gopi Krishnan Rajbahadur, Masanari Kondo, Yasutaka Kamei, Naoyasu Ubayashi

Proceedings of the IEEE International Conference on Software Analysis, 2023

Uncertainty-aware Metamorphic Testing for Robust Object Detection Models.

Jianhong Wang, Yuta Ishimoto, Masanari Kondo, Yasutaka Kamei, Naoyasu Ubayashi

Proceedings of the 23rd IEEE International Conference on Software Quality, 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

Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

An Initial Analysis of Repair and Side-effect Prediction for Neural Networks.

Yuta Ishimoto, Ken Matsui, Masanari Kondo, Naoyasu Ubayashi, Yasutaka Kamei

Proceedings of the 2nd IEEE/ACM International Conference on AI Engineering, 2023

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, Naoyasu Ubayashi

Inf. Softw. Technol., 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

Challenges and Future Research Direction for Microtask Programming in Industry.

Masanari Kondo, Shinobu Saito, Yukako Iimura, Eunjong Choi, Osamu Mizuno, Yasutaka Kamei, Naoyasu Ubayashi

Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 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

Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022

Hey APR! Integrate Our Fault Localization Skill: Toward Better Automated Program Repair.

Kyosuke Yamate, Masanari Kondo, Yutaro Kashiwa, Yasutaka Kamei, Naoyasu Ubayashi

Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

Evaluating Automated Program Repair Techniques using Introductory Programming Course Datasets.

Tsukasa Nakamura, Masanari Kondo, Yasutaka Kamei, Naoyasu Ubayashi

Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

2021

Towards Better Coverage of Dataset with Software Product Line Engineering.

Lei Shi, Masanari Kondo, Naoyasu Ubayashi, Yasutaka Kamei

Proceedings of the 21st IEEE International Conference on Software Quality, 2021

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

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

Which Metrics Should Researchers Use to Collect Repositories: An Empirical Study.

Kai Yamamoto, Masanari Kondo, Kinari Nishiura, Osamu Mizuno

Proceedings of the 20th IEEE International Conference on Software Quality, 2020

An Empirical Study of Utilization of Imperative Modules in Ansible.

Shoma Kokuryo, Masanari Kondo, Osamu Mizuno

Proceedings of the 20th IEEE International Conference on Software Quality, 2020

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 Source Code Detection Using Image Classification.

Juntong Hong, Osamu Mizuno, Masanari Kondo

Proceedings of the 10th International Workshop on Empirical Software Engineering in Practice, 2019

2016

Analysis on Causal-Effect Relationship in Effort Metrics Using Bayesian LiNGAM.

Masanari Kondo, Osamu Mizuno

Proceedings of the 2016 IEEE International Symposium on Software Reliability Engineering Workshops, 2016