Cover Image

Demystifying Code Snippets in Code Reviews: A Study of the OpenStack and Qt Communities and A Practitioner Survey

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Beiqi, Fu, Liming, Liang, Peng, Yu, Jiaxin, Wang, Chong
Format:	Preprint
Published:	2023
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Cross-Project Flakiness: A Case Study of the OpenStack Ecosystem
by: Xiao, Tao, et al.
Published: (2026)

Deciphering Refactoring Branch Dynamics in Modern Code Review: An Empirical Study on Qt
by: AlOmar, Eman Abdullah
Published: (2024)

Identifying Smart Contract Security Issues in Code Snippets from Stack Overflow
by: Chen, Jiachi, et al.
Published: (2024)

Can We Identify Stack Overflow Questions Requiring Code Snippets? Investigating the Cause & Effect of Missing Code Snippets
by: Mondal, Saikat, et al.
Published: (2024)

Copilot-in-the-Loop: Fixing Code Smells in Copilot-Generated Python Code using Copilot
by: Zhang, Beiqi, et al.
Published: (2024)

Code2API: A Tool for Generating Reusable APIs from Stack Overflow Code Snippets
by: Mai, Yubo, et al.
Published: (2025)

An ML-based Approach to Predicting Software Change Dependencies: Insights from an Empirical Study on OpenStack
by: Arabat, Ali, et al.
Published: (2025)

Exploring the Problems, their Causes and Solutions of AI Pair Programming: A Study on GitHub and Stack Overflow
by: Zhou, Xiyu, et al.
Published: (2023)

An Insight into Security Code Review with LLMs: Capabilities, Obstacles, and Influential Factors
by: Yu, Jiaxin, et al.
Published: (2024)

A Comprehensive Evaluation of Parameter-Efficient Fine-Tuning on Code Smell Detection
by: Zhang, Beiqi, et al.
Published: (2024)

Searching by Code: a New SearchBySnippet Dataset and SnippeR Retrieval Model for Searching by Code Snippets
by: Sedykh, Ivan, et al.
Published: (2023)

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

Contextual Code Retrieval for Commit Message Generation: A Preliminary Study
by: Xiong, Bo, et al.
Published: (2025)

Towards Summarizing Code Snippets Using Pre-Trained Transformers
by: Mastropaolo, Antonio, et al.
Published: (2024)

GENCNIPPET: Automated Generation of Code Snippets for Supporting Programming Questions
by: Mondal, Saikat, et al.
Published: (2025)

Automated Snippet-Alignment Data Augmentation for Code Translation
by: Zhang, Zhiming, et al.
Published: (2025)

AdaptEval: A Benchmark for Evaluating Large Language Models on Code Snippet Adaptation
by: Zhang, Tanghaoran, et al.
Published: (2026)

Unmasking the Genuine Type Inference Capabilities of LLMs for Java Code Snippets
by: Dong, Yiwen, et al.
Published: (2025)

Understanding Practitioners' Expectations on Clear Code Review Comments
by: Chen, Junkai, et al.
Published: (2024)

ZS4C: Zero-Shot Synthesis of Compilable Code for Incomplete Code Snippets using LLMs
by: Kabir, Azmain, et al.
Published: (2024)

Exploring Data Management Challenges and Solutions in Agile Software Development: A Literature Review and Practitioner Survey
by: Fawzy, Ahmed, et al.
Published: (2024)

Can LLMs be Effective Code Contributors? A Study on Open-source Projects
by: Chong, Chun Jie, et al.
Published: (2026)

Demystifying and Assessing Code Understandability in Java Decompilation
by: Qin, Ruixin, et al.
Published: (2024)

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

Uncovering Intention through LLM-Driven Code Snippet Description Generation
by: Nugroho, Yusuf Sulistyo, et al.
Published: (2025)

Beyond Code Snippets: Benchmarking LLMs on Repository-Level Question Answering
by: Alebachew, Yoseph Berhanu, et al.
Published: (2026)

Code Copycat Conundrum: Demystifying Repetition in LLM-based Code Generation
by: Liu, Mingwei, et al.
Published: (2025)

Demystifying Errors in LLM Reasoning Traces: An Empirical Study of Code Execution Simulation
by: Abdollahi, Mohammad, et al.
Published: (2025)

AUTOGENICS: Automated Generation of Context-Aware Inline Comments for Code Snippets on Programming Q&A Sites Using LLM
by: Bappon, Suborno Deb, et al.
Published: (2024)

CodeAgent: Autonomous Communicative Agents for Code Review
by: Tang, Xunzhu, et al.
Published: (2024)

Large Language Models for Code Generation: The Practitioners Perspective
by: Rasheed, Zeeshan, et al.
Published: (2025)

Code Digital Twin: A Knowledge Infrastructure for AI-Assisted Complex Software Development
by: Peng, Xin, et al.
Published: (2025)

Efficient and Scalable Provenance Tracking for LLM-Generated Code Snippets
by: Gurioli, Andrea, et al.
Published: (2026)

iCodeReviewer: Improving Secure Code Review with Mixture of Prompts
by: Peng, Yun, et al.
Published: (2025)

A Survey of Bugs in AI-Generated Code
by: Gao, Ruofan, et al.
Published: (2025)

Modern Code Reviews -- Survey of Literature and Practice
by: Badampudi, Deepika, et al.
Published: (2024)

OpenGame: Open Agentic Coding for Games
by: Jiang, Yilei, et al.
Published: (2026)

Readability and Understandability Scores for Snippet Assessment: an Exploratory Study
by: Dantas, Carlos Eduardo C., et al.
Published: (2021)

Benchmarking and Studying the LLM-based Code Review
by: Zeng, Zhengran, et al.
Published: (2025)

CodeFuse-CR-Bench: A Comprehensiveness-aware Benchmark for End-to-End Code Review Evaluation in Python Projects
by: Guo, Hanyang, et al.
Published: (2025)