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Yutaro Kashiwa

Observed names: Kashiwa Yutaro, Kashiwa, Yutaro, Yutaro KASHIWA, 柏, 祐太郎
ORCID: 0000-0002-9633-7577
Observed ORCID: 0000-0002-9633-7577
OpenAlex ID: A5036526364
On the Use of Agentic Coding: An Empirical Study of Pull Requests on GitHub
2026 · Miku Watanabe, Hao Li, et al. · ACM Transactions on Software Engineering and Methodology · 112
Agentic Software Engineering: Foundational Pillars and a Research Roadmap
2026 · Ahmed E. Hassan, Hao Li, et al. · ACM Transactions on Software Engineering and Methodology · 87
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A Dataset of High Impact Bugs: Manually-Classified Issue Reports
2015 · Masao Ohira, Yutaro Kashiwa, et al. · International Conference on Mining Software Repositories (MSR) · 66
Agent READMEs: An Empirical Study of Context Files for Agentic Coding
2026 · Worawalan Chatlatanagulchai, Hao Li, et al. · ACM Transactions on Software Engineering and Methodology · 57
Agentic Refactoring: An Empirical Study of AI Coding Agents
2026 · Kosei Horikawa, Hao Li, et al. · ACM Transactions on Software Engineering and Methodology · 48
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On the Use of ChatGPT for Code Review: Do Developers Like Reviews By ChatGPT?
2024 · Miku Watanabe, Yutaro Kashiwa, et al. · International Conference on Evaluation and Assessment in Software Engineering (EASE) · 34
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PYREF: Refactoring Detection in Python Projects
2021 · Hassan Atwi, Bin Lin, et al. · IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM) · 34
A dataset of high impact bugs: manually-classified issue reports
2015 · Masao Ohira, Yutaro Kashiwa, et al. · Mining Software Repositories · 31
An empirical study on self-admitted technical debt in modern code review
2022 · Yutaro Kashiwa, Ryoma Nishikawa, et al. · Information and Software Technology · 30
The Human Side of Fuzzing: Challenges Faced by Developers during Fuzzing Activities
2023 · Olivier Nourry, Yutaro Kashiwa, et al. · ACM Transactions on Software Engineering and Methodology · 29
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A Release-Aware Bug Triaging Method Considering Developers' Bug-Fixing Loads
2020 · Yutaro KASHIWA, Masao OHIRA · IEICE Transactions on Information and Systems · 20
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On the Use of Agentic Coding Manifests: An Empirical Study of Claude Code
2025 · Worawalan Chatlatanagulchai, Kundjanasith Thonglek, et al. · Lecture notes in computer science · 19
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My Fuzzers Won’t Build: An Empirical Study of Fuzzing Build Failures
2024 · Olivier Nourry, Yutaro Kashiwa, et al. · ACM Transactions on Software Engineering and Methodology · 19
Does Refactoring Break Tests and to What Extent?
2021 · Yutaro Kashiwa, Kazuki Shimizu, et al. · IEEE International Conference on Software Maintenance (ICSM) · 12
A Pilot Study of Diversity in High Impact Bugs
2014 · Yutaro Kashiwa, Hayato Yoshiyuki, et al. · IEEE International Conference on Software Maintenance (ICSM) · 12
To What Extent Does Agent-generated Code Require Maintenance? An Empirical Study
2026 · Sawada, Shota, Shirai, Tatsuya, et al. · arXiv (Cornell University) · 9
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An empirical study of issue-link algorithms: which issue-link algorithms should we use?
2022 · Masanari Kondo, Yutaro Kashiwa, et al. · Empirical Software Engineering · 9
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Do visual issue reports help developers fix bugs?
2022 · Hiroki Kuramoto, Masanari Kondo, et al. · IEEE International Conference on Program Comprehension (ICPC) · 9
Developer-Applied Accelerations in Continuous Integration: A Detection Approach and Catalog of Patterns
2024 · Mingyang Yin, Yutaro Kashiwa, et al. · IEEE/ACM International Conference on Automated Software Engineering (ASE) · 8
Understanding the characteristics and the role of visual issue reports
2024 · Hiroki Kuramoto, Dong Wang, et al. · Empirical Software Engineering · 8
An Empirical Study of Policy as Code: Adoption, Purpose, and Maintenance
2026 · Ruben Opdebeeck, Mahmoud Alfadel, et al. · International Conference on Mining Software Repositories (MSR) · 7
An Empirical Investigation on the Performance of Domain Adaptation for T5 Code Completion
2023 · Daisuke Fukumoto, Yutaro Kashiwa, et al. · IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) · 7
Toward Extracting Learning Pattern: A Comparative Study of GPT-4o-mini and BERT Models in Predicting CVSS Base Vectors
2024 · Sho Isogai, Shinpei Ogata, et al. · IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) · 5
A Pilot Study of Testing Infrastructure as Code for Cloud Systems
2023 · Nabhan Suwanachote, Soratouch Pornmaneerattanatri, et al. · Asia-Pacific Software Engineering Conference (APSEC) · 5
RAPTOR: Release-Aware and Prioritized Bug-Fixing Task Assignment Optimization
2019 · Yutaro Kashiwa · IEEE International Conference on Software Maintenance (ICSM) · 5
Works count: 72
Citation count: 735
H-index: 13
I10-index: 15
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