348 citations · 583 across the 98 of their papers we have counts for
12 papers · 1 filter
The Role of Agentic Instruction Categories for Code Generation: A Study of Five Python Libraries
Warren Gerald Polandra, Yoshiki Higo, Raula Gaikovina Kula
Agentic coding systems increasingly rely on repository-level agent files, such as AGENTS.md, to communicate project knowledge and developer intent. However, it remains unclear whic…
Agentic Dependency Transformations: Lessons from an Exploratory Case Study of Flask
Kaya Kitada, Yoshiki Higo, Raula Gaikovina Kula
Modern software relies heavily on third-party libraries, requiring maintainers to balance the benefits of reuse against dependency-related maintenance and risk. We define dependenc…
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…
Cross-Ecosystem Packages As Multilingual: Prevalence, Architecture, and Health
Xiangxi Li, Olivier Nourry, Yoshiki Higo +1
Modern software development increasingly relies on using multiple programming languages. Some software packages are published to multiple package ecosystems such as NPM for JavaScr…
Agent ATO: Visualizing Agent Interaction Timelines from Logs
Takuto Kawamoto, Yoshiki Higo, Raula Gaikovina Kula
AI coding agents are becoming part of developers' workflows, but their behavior is difficult to understand from final code changes alone. During a task, agents interact with softwa…
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…
Humans Integrate, Agents Fix: How Agent-Authored Pull Requests Are Referenced in Practice
Islem Khemissi, Moataz Chouchen, Dong Wang +1
Although coding agents have introduced new coordination dynamics in collaborative software development, detailed interactions in practice remain underexplored, especially for the c…
SmartPatchLinker: An Open-Source Tool to Linked Changes Detection for Code Review
Islem Khemissi, Moataz Chouchen, Dong Wang +1
In large software ecosystems, semantically related code changes, such as alternative solutions or overlapping modifications are often discovered only days after submission, leading…
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…
When is Generated Code Difficult to Comprehend? Assessing AI Agent Python Code Proficiency in the Wild
Nanthit Temkulkiat, Chaiyong Ragkhitwetsagul, Morakot Choetkiertikul +2
The rapid adoption of AI coding agents is fundamentally shifting software developers' roles from code authors to code reviewers. While developers spend a significant portion of the…
Not Only for Developers: Exploring Plugin Maintenance for Knowledge-Centric Communities
Giovanni Rosa, David Moreno-Lumbreras, Raula Gaikovina Kula
The adoption of third-party libraries has become integral to modern software development, leading to large ecosystems such as PyPI, NPM, and Maven, where contributors typically sha…
Forecasting Developer Environments with GenAI: A Research Perspective
Raula Gaikovina Kula, Christoph Treude, Xing Hu +28
Generative Artificial Intelligence (GenAI) models are achieving remarkable performance in various tasks, including code generation, testing, code review, and program repair. The ab…