9 citations · 10 across the 17 of their papers we have counts for
18 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…
Practical Implementation Report on Introducing Spec-Driven Development Using AI Agents in Software Development PBL
Hidetake Tanaka, Hiroshi Igaki, Kazumasa Shimari +2
In recent years, autonomous AI agents such as GitHub Copilot and Claude Code have been rapidly gaining popularity. This study reports on the practical implementation of Spec-Driven…
Predicting Struggling Students in CS1 Programming Using Keystroke-Level Editing Features
Yasuyo Kofune, Kazumasa Shimari, Kenichi Matsumoto
This paper investigates the feasibility of early detection of struggling students during CS1 programming exercises using keystroke-level logs. Some students fail to reach a correct…
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 Do Developers Use Migration Guides? A Case Study of Log4j
Takahiro Monno, Kazumasa Shimari, Tetsuya Kanda +2
Migration guides are a form of software documentation that helps developers address breaking changes introduced in library version updates. Prior studies have examined documents su…
A Longitudinal Analysis of Good First Issue Practices and Newcomer Pull Requests in Popular OSS Projects
Hirotatsu Hoshikawa, Hidetake Tanaka, Kazumasa Shimari +2
Open-source software (OSS) projects rely on effective newcomer onboarding to sustain their communities. OSS projects widely adopt "good first issue" (GFI) labels to highlight begin…