1 citations · 1 across the 3 of their papers we have counts for
4 papers
An Exploratory Study of Dependabot Cooldown Adoption in Open-Source GitHub Projects
Hidetake Tanaka, Rikuto Tsuchida, Kazumasa Shimari +2
Automated dependency updates can rapidly propagate malicious package releases before maintainers and the broader community have enough time to detect them. In July 2025, GitHub mad…
Maintenance Signals in AI-Assisted GitHub Repositories: Evidence from GenAI Adopters
Rikuto Tsuchida, Youmei Fan, Kazumasa Shimari +3
Generative artificial intelligence (GenAI) can reduce code-generation effort, but it may shift work to documentation, validation, debugging, and maintenance. We study observable ma…
How AI Coding Agents Communicate: A Study of Pull Request Description Characteristics and Human Review Responses
Kan Watanabe, Rikuto Tsuchida, Takahiro Monno +5
The rapid adoption of large language models has led to the emergence of AI coding agents that autonomously create pull requests on GitHub. However, how these agents differ in their…
Round Outcome Prediction in VALORANT Using Tactical Features from Video Analysis
Nirai Hayakawa, Kazumasa Shimari, Kazuma Yamasaki +3
Recently, research on predicting match outcomes in esports has been actively conducted, but much of it is based on match log data and statistical information. This research targets…