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Author

Kosei Horikawa

Observed name: Horikawa, Kosei
ORCID: 0009-0006-6317-0754
Observed ORCID: 0009-0006-6317-0754
OpenAlex ID: A5036008982
Do AI Agents Really Improve Code Readability?
2026 · Kyogo Horikawa, Kosei Horikawa, et al. · International Conference on Mining Software Repositories (MSR) · 1
Testing with AI Agents: An Empirical Study of Test Generation Frequency, Quality, and Coverage
2026 · Suzuka Yoshimoto, Shun Fujita, et al. · International Conference on Mining Software Repositories (MSR) · 1
AgentLogs: A Dataset for Opening the Black Box of GitHub's Cloud Agent
2026 · Richards, Jonan, Horikawa, Kosei, et al. · arXiv (Cornell University)
PDF
What Are Developers Actually Discussing When Visual Regression Tests Fail?
2026 · Watanabe, Miku, Horikawa, Kosei, et al. · arXiv (Cornell University)
PDF
Testing with AI Agents: An Empirical Study of Test Generation Frequency, Quality, and Coverage
2026 · Yoshimoto, Suzuka, Fujita, Shun, et al. · arXiv (Cornell University)
Do AI Agents Really Improve Code Readability?
2026 · Horikawa, Kyogo, Horikawa, Kosei, et al. · arXiv (Cornell University)
Do AI Agents Really Improve Code Readability?
2026 · Horikawa, Kyogo, Horikawa, Kosei, et al. · arXiv (Cornell University)
PDF
Testing with AI Agents: An Empirical Study of Test Generation Frequency, Quality, and Coverage
2026 · Yoshimoto, Suzuka, Fujita, Shun, et al. · arXiv (Cornell University)
PDF
Is Self-Admitted Technical Debt Tested? An Empirical Study of Coverage, Co-Change, and Impact
2026 · Yoshimoto, Suzuka, Horikawa, Kosei, et al. · arXiv (Cornell University)
PDF
An Empirical Investigation into Maintenance of Load Testing Scripts
2025 · Ibuki Nakamura, Kosei Horikawa, et al. · Proceedings of the ... ACM-IEEE International Symposium on Empirical Software Engineering and Measurement/International Symposium on Empirical Software Engineering and Measurement
Works count: 10
Citation count: 2
H-index: 1
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