Imagen de Portada

An Empirical Analysis of Git Commit Logs for Potential Inconsistency in Code Clones

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Yokomori, Reishi, Inoue, Katsuro
Formato:	Preprint
Publicado:	2024
Materias:	Software Engineering
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

GitEvo: Code Evolution Analysis for Git Repositories
por: Hora, Andre
Publicado: (2026)

An Empirical Study of LLM-Based Code Clone Detection
por: Zhu, Wenqing, et al.
Publicado: (2025)

SBOM Challenges for Developers: From Analysis of Stack Overflow Questions
por: Otoda, Wataru, et al.
Publicado: (2025)

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

CodeFuse-CommitEval: Towards Benchmarking LLM's Power on Commit Message and Code Change Inconsistency Detection
por: Zhang, Qingyu, et al.
Publicado: (2025)

BiFuzz: A Two-Stage Fuzzing Tool for Open-World Video Games
por: Kato, Yusaku, et al.
Publicado: (2025)

Software Testing Beyond Closed Worlds: Open-World Games as an Extreme Case
por: Kato, Yusaku, et al.
Publicado: (2026)

Automated Program Repair Based on REST API Specifications Using Large Language Models
por: Yamagishi, Katsuki, et al.
Publicado: (2025)

Empirical Characterization of Logging Smells in Machine Learning Code
por: Foalem, Patrick Loic, et al.
Publicado: (2026)

Empirical Characterization of Logging Smells in Machine Learning Code
por: Foalem, Patrick Loic, et al.
Publicado: (2026)

Unveiling Code Clone Patterns in Open Source VR Software: An Empirical Study
por: Chen, Huashan, et al.
Publicado: (2025)

Unveiling Code Clones in Quantum Programming: An Empirical Study with Qiskit
por: Manoku, Kenta, et al.
Publicado: (2025)

Do AI Coding Agents Log Like Humans? An Empirical Study
por: Ouatiti, Youssef Esseddiq, et al.
Publicado: (2026)

The Landscape of Toxicity: An Empirical Investigation of Toxicity on GitHub
por: Sarker, Jaydeb, et al.
Publicado: (2025)

An Empirical Study of the Evolution of GitHub Actions Workflows
por: Mazrae, Pooya Rostami, et al.
Publicado: (2026)

GitHub's Copilot Code Review: Can AI Spot Security Flaws Before You Commit?
por: Amro, Amena, et al.
Publicado: (2025)

Detecting Essence Code Clones via Information Theoretic Analysis
por: Zhao, Lida, et al.
Publicado: (2025)

Security Weaknesses of Copilot-Generated Code in GitHub Projects: An Empirical Study
por: Fu, Yujia, et al.
Publicado: (2023)

Fingerprinting AI Coding Agents on GitHub
por: Ghaleb, Taher A.
Publicado: (2026)

A Dataset of Software Bill of Materials for Evaluating SBOM Consumption Tools
por: Kishimoto, Rio, et al.
Publicado: (2025)

HyClone: Bridging LLM Understanding and Dynamic Execution for Semantic Code Clone Detection
por: Liang, Yunhao, et al.
Publicado: (2025)

An Empirical Study of ChatGPT-Related Projects and Their Issues on GitHub
por: Lin, Zheng, et al.
Publicado: (2024)

Policy-driven Software Bill of Materials on GitHub: An Empirical Study
por: Novikov, Oleksii, et al.
Publicado: (2025)

Development and Evolution of Xtext-based DSLs on GitHub: An Empirical Investigation
por: Zhang, Weixing, et al.
Publicado: (2025)

An Empirical Study of Complexity, Heterogeneity, and Compliance of GitHub Actions Workflows
por: Abrokwah, Edward, et al.
Publicado: (2025)

Agentic Much? Adoption of Coding Agents on GitHub
por: Robbes, Romain, et al.
Publicado: (2026)

SkillClone: Multi-Modal Clone Detection and Clone Propagation Analysis in the Agent Skill Ecosystem
por: Zhu, Jiaying, et al.
Publicado: (2026)

An Empirical Study of Token-based Micro Commits
por: Kondo, Masanari, et al.
Publicado: (2024)

Evaluating Small-Scale Code Models for Code Clone Detection
por: Martinez-Gil, Jorge
Publicado: (2025)

Development and Benchmarking of Multilingual Code Clone Detector
por: Zhu, Wenqing, et al.
Publicado: (2024)

Code Clone Refactoring in C# with Lambda Expressions
por: Kawamoto, Takuto, et al.
Publicado: (2025)

Is Your Private Information Logged? An Empirical Study on Android App Logs
por: Chen, Zhiyuan, et al.
Publicado: (2026)

AndroLog: Android Instrumentation and Code Coverage Analysis
por: Samhi, Jordan, et al.
Publicado: (2024)

Automated Code Review Assignments: An Alternative Perspective of Code Ownership on GitHub
por: Lulla, Jai Lal, et al.
Publicado: (2025)

The Hidden Costs of Automation: An Empirical Study on GitHub Actions Workflow Maintenance
por: Valenzuela-Toledo, Pablo, et al.
Publicado: (2024)

RevMine: An LLM-Assisted Tool for Code Review Mining and Analysis Across Git Platforms
por: Kansab, Samah, et al.
Publicado: (2025)

Immersion in the GitHub Universe: Scaling Coding Agents to Mastery
por: Zhao, Jiale, et al.
Publicado: (2026)

Unveiling Code Clones in the Eclipse IIoT Software Ecosystem
por: Li, Zengyang, et al.
Publicado: (2026)

Architecture Decisions in Quantum Software Systems: An Empirical Study on Stack Exchange and GitHub
por: Aktar, Mst Shamima, et al.
Publicado: (2023)

On the Prevalence and Usage of Commit Signing on GitHub: A Longitudinal and Cross-Domain Study
por: Sharma, Anupam, et al.
Publicado: (2025)