Cover Image

Automated Code Review In Practice

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cihan, Umut, Haratian, Vahid, İçöz, Arda, Gül, Mert Kaan, Devran, Ömercan, Bayendur, Emircan Furkan, Uçar, Baykal Mehmet, Tüzün, Eray
Format:	Preprint
Published:	2024
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Evaluating Large Language Models for Code Review
by: Cihan, Umut, et al.
Published: (2025)

Understanding the Limits of Automated Evaluation for Code Review Bots in Practice
by: Karakaya, Veli, et al.
Published: (2026)

LACY: Simulating Expert Mentoring for Software Onboarding with Code Tours
by: Kara, Zeynep Begüm, et al.
Published: (2026)

Rethinking Code Review in the Age of AI: A Vision for Agentic Code Review
by: Kamalı, Hüseyin Özgür, et al.
Published: (2026)

PR-Aware Automated Unit Test Generation: Challenges and Opportunities
by: Haratian, Vahid, et al.
Published: (2026)

SmartDelta Methodology: Automated Quality Assurance and Optimization for Incremental System Engineering
by: Dornauer, Benedikt, et al.
Published: (2025)

RefExpo: Unveiling Software Project Structures through Advanced Dependency Graph Extraction
by: Haratian, Vahid, et al.
Published: (2024)

ImproBR: Bug Report Improver Using LLMs
by: Akyol, Emre Furkan, et al.
Published: (2026)

Automated Classification of Human Code Review Comments with Large Language Models
by: Çağlar, Semih, et al.
Published: (2026)

Towards Automated Detection of Inline Code Comment Smells
by: Oztas, Ipek, et al.
Published: (2025)

Automated Root-Cause Subclassification and No-Code Fix Generation for Invalid Bug Reports
by: Gon, Mahmut Furkan, et al.
Published: (2026)

Past, Present, and Future of Bug Tracking in the Generative AI Era
by: Torun, Utku Boran, et al.
Published: (2025)

Automated Code Review Using Large Language Models with Symbolic Reasoning
by: Icoz, Busra, et al.
Published: (2025)

Factors Influencing the Quality of AI-Generated Code: A Synthesis of Empirical Evidence
by: Geruslu, Vehid, et al.
Published: (2026)

Evaluation of LLM-Based Software Engineering Tools: Practices, Challenges, and Future Directions
by: Torun, Utku Boran, et al.
Published: (2026)

Evaluating the Impact of Data Cleaning on the Quality of Generated Pull Request Descriptions
by: Tire, Kutay, et al.
Published: (2025)

A Serious Game Approach to Introduce the Code Review Practice
by: Baris Ardic, et al.
Published: (2024)

Agents in the Sandbox: End-to-End Crash Bug Reproduction for Minecraft
by: Yapağcı, Eray, et al.
Published: (2025)

SERSEM: Selective Entropy-Weighted Scoring for Membership Inference in Code Language Models
by: Dikici, Kıvanç Kuzey, et al.
Published: (2026)

Analyzing the Instability of Large Language Models in Automated Bug Injection and Correction
by: Er, Mehmet Bilal, et al.
Published: (2025)

Bus Factor Explorer
by: Klimov, Egor, et al.
Published: (2024)

BitsAI-CR: Automated Code Review via LLM in Practice
by: Sun, Tao, et al.
Published: (2025)

Automating Code Review: A Systematic Literature Review
by: Tufano, Rosalia, et al.
Published: (2025)

Automated Test Suite Enhancement Using Large Language Models with Few-shot Prompting
by: Chudic, Alex, et al.
Published: (2026)

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

Improving Automated Code Reviews: Learning from Experience
by: Lin, Hong Yi, et al.
Published: (2024)

Fine-Tuning Models for Automated Code Review Feedback
by: Kumar, Smitha S, et al.
Published: (2026)

Code Review Automation: Strengths and Weaknesses of the State of the Art
by: Tufano, Rosalia, et al.
Published: (2024)

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

Practical Feasibility of Sustainable Software Engineering Tools and Techniques
by: Ghanta, Satwik, et al.
Published: (2026)

Improving Automated Secure Code Reviews: A Synthetic Dataset for Code Vulnerability Flaws
by: Centellas-Claros, Leonardo, et al.
Published: (2025)

Previously on... Automating Code Review
by: Heumüller, Robert, et al.
Published: (2025)

Studying Quality Improvements Recommended via Manual and Automated Code Review
by: Crupi, Giuseppe, et al.
Published: (2026)

Deep Graph-Language Fusion for Structure-Aware Code Generation
by: Tiftikci, Mert, et al.
Published: (2026)

An Empirical Study on Code Review Activity Prediction and Its Impact in Practice
by: Olewicki, Doriane, et al.
Published: (2024)

Code Review Automation Via Multi-task Federated LLM -- An Empirical Study
by: Kumar, Jahnavi, et al.
Published: (2024)

Towards Practical Defect-Focused Automated Code Review
by: Lu, Junyi, et al.
Published: (2025)

Fine-Tuning and Prompt Engineering for Large Language Models-based Code Review Automation
by: Pornprasit, Chanathip, et al.
Published: (2024)

Code2Doc: A Quality-First Curated Dataset for Code Documentation
by: Karaman, Recep Kaan, et al.
Published: (2025)

AI-Assisted Assessment of Coding Practices in Modern Code Review
by: Vijayvergiya, Manushree, et al.
Published: (2024)