:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Tevarut, Napasorn, Reid, Brittany, Kashiwa, Yutaro, Leelaprute, Pattara, Rungsawang, Arnon, Manaskasemsak, Bundit, Iida, Hajimu
Format:	Preprint
Published:	2025
Subjects:	Software Engineering
Online Access:	https://arxiv.org/abs/2510.04495
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On the Use of Agentic Coding Manifests: An Empirical Study of Claude Code
by: Chatlatanagulchai, Worawalan, et al.
Published: (2025)

Agent READMEs: An Empirical Study of Context Files for Agentic Coding
by: Chatlatanagulchai, Worawalan, et al.
Published: (2025)

An Empirical Study of Security-Policy Related Issues in Open Source Projects
by: Kanaji, Rintaro, et al.
Published: (2025)

On the Use of Agentic Coding: An Empirical Study of Pull Requests on GitHub
by: Watanabe, Miku, et al.
Published: (2025)

Understanding Self-Admitted Technical Debt in Test Code: An Empirical Study
by: Nakamura, Ibuki, et al.
Published: (2025)

What to Cut? Predicting Unnecessary Methods in Agentic Code Generation
by: Watanabe, Kan, et al.
Published: (2026)

Does Programming Language Matter? An Empirical Study of Fuzzing Bug Detection
by: Shirai, Tatsuya, et al.
Published: (2026)

Do AI Agents Really Improve Code Readability?
by: Horikawa, Kyogo, et al.
Published: (2026)

Large-Scale Empirical Analysis of Continuous Fuzzing: Insights from 1 Million Fuzzing Sessions
by: Shirai, Tatsuya, et al.
Published: (2025)

Testing with AI Agents: An Empirical Study of Test Generation Frequency, Quality, and Coverage
by: Yoshimoto, Suzuka, et al.
Published: (2026)

To What Extent Does Agent-generated Code Require Maintenance? An Empirical Study
by: Sawada, Shota, et al.
Published: (2026)

A Preliminary Study on Self-Contained Libraries in the NPM Ecosystem
by: Jaisri, Pongchai, et al.
Published: (2024)

Agentic Refactoring: An Empirical Study of AI Coding Agents
by: Horikawa, Kosei, et al.
Published: (2025)

Towards Sustainable and Secure Reuse in Dependency Supply Chains: Initial Analysis of NPM packages at the End of the Chain
by: Reid, Brittany Anne, et al.
Published: (2025)

Understanding NPM Malicious Package Detection: A Benchmark-Driven Empirical Analysis
by: Guo, Wenbo, et al.
Published: (2026)

Towards Better Comprehension of Breaking Changes in the NPM Ecosystem
by: Kong, Dezhen, et al.
Published: (2024)

Contributing Back to the Ecosystem: A User Survey of NPM Developers
by: Wattanakriengkrai, Supatsara, et al.
Published: (2024)

What About Our Bug? A Study on the Responsiveness of NPM Package Maintainers
by: Saeidi, Mohammadreza, et al.
Published: (2025)

Opportunities and Security Risks of Technical Leverage: A Replication Study on the NPM Ecosystem
by: Samaana, Haya, et al.
Published: (2024)

Ecosystem-wide influences on pull request decisions: insights from NPM
by: Meijer, Willem, et al.
Published: (2024)

InEx-Bug: A Human Annotated Dataset of Intrinsic and Extrinsic Bugs in the NPM Ecosystem
by: Wright, Tanner, et al.
Published: (2026)

Package Dashboard: A Cross-Ecosystem Framework for Dual-Perspective Analysis of Software Packages
by: Liu, Ziheng, et al.
Published: (2025)

Killing Two Birds with One Stone: Malicious Package Detection in NPM and PyPI using a Single Model of Malicious Behavior Sequence
by: Zhang, Junan, et al.
Published: (2023)

An Empirical Study on Package-Level Deprecation in Python Ecosystem
by: Zhong, Zhiqing, et al.
Published: (2024)

Agentic Software Engineering: Foundational Pillars and a Research Roadmap
by: Hassan, Ahmed E., et al.
Published: (2025)

Open Source at a Crossroads: The Future of Licensing Driven by Monetization
by: Kula, Raula Gaikovina, et al.
Published: (2025)

Analyzing the Accessibility of GitHub Repositories for PyPI and NPM Libraries
by: Tsakpinis, Alexandros, et al.
Published: (2024)

DySec: A Machine Learning-based Dynamic Analysis for Detecting Malicious Packages in PyPI Ecosystem
by: Mehedi, Sk Tanzir, et al.
Published: (2025)

SoK: Towards Reproducibility for Software Packages in Scripting Language Ecosystems
by: Pohl, Timo, et al.
Published: (2025)

How Deep Does Your Dependency Tree Go? An Empirical Study of Dependency Amplification Across 10 Package Ecosystems
by: Arafat, Jahidul
Published: (2025)

A Large-scale Fine-grained Analysis of Packages in Open-Source Software Ecosystems
by: Zhou, Xiaoyan, et al.
Published: (2024)

Does Functional Package Management Enable Reproducible Builds at Scale? Yes
by: Malka, Julien, et al.
Published: (2025)

Lila: Decentralized Build Reproducibility Monitoring for the Functional Package Management Model
by: Malka, Julien, et al.
Published: (2026)

On Categorizing Open Source Software Security Vulnerability Reporting Mechanisms on GitHub
by: Kancharoendee, Sushawapak, et al.
Published: (2025)

A Study of Scientific Computational Notebook Quality
by: Kashiwa, Shun, et al.
Published: (2026)

A Machine Learning-Based Approach For Detecting Malicious PyPI Packages
by: Samaana, Haya, et al.
Published: (2024)

Characterising Contributions that Coincide with Vulnerability Mitigation in NPM Libraries
by: Rojpaisarnkit, Ruksit, et al.
Published: (2024)

An Investigation into Maintenance Support for Neural Networks
by: Zohra, Fatema Tuz, et al.
Published: (2025)

Explaining Code Risk in OSS: Towards LLM-Generated Fault Prediction Interpretations
by: Adejumo, Elijah Kayode, et al.
Published: (2025)

An Empirical Validation of Open Source Repository Stability Metrics
by: Adejumo, Elijah Kayode, et al.
Published: (2025)