Saved in:
| Main Authors: | Heumüller, Robert, Ortmeier, Frank |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2512.15466 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Previously on... Automating Code Review
by: Heumüller, Robert, et al.
Published: (2025)
by: Heumüller, Robert, et al.
Published: (2025)
CATCODER: Repository-Level Code Generation with Relevant Code and Type Context
by: Pan, Zhiyuan, et al.
Published: (2024)
by: Pan, Zhiyuan, et al.
Published: (2024)
TaskEval: Assessing Difficulty of Code Generation Tasks for Large Language Models
by: Tambon, Florian, et al.
Published: (2024)
by: Tambon, Florian, et al.
Published: (2024)
Multi-line AI-assisted Code Authoring
by: Dunay, Omer, et al.
Published: (2024)
by: Dunay, Omer, et al.
Published: (2024)
Analyzing Message-Code Inconsistency in AI Coding Agent-Authored Pull Requests
by: Gong, Jingzhi, et al.
Published: (2026)
by: Gong, Jingzhi, et al.
Published: (2026)
When AI Teammates Meet Code Review: Collaboration Signals Shaping the Integration of Agent-Authored Pull Requests
by: Nachuma, Costain, et al.
Published: (2026)
by: Nachuma, Costain, et al.
Published: (2026)
Assessing AI Detectors in Identifying AI-Generated Code: Implications for Education
by: Pan, Wei Hung, et al.
Published: (2024)
by: Pan, Wei Hung, et al.
Published: (2024)
Combining Large Language Models with Static Analyzers for Code Review Generation
by: Jaoua, Imen, et al.
Published: (2025)
by: Jaoua, Imen, et al.
Published: (2025)
Assessing the Code Clone Detection Capability of Large Language Models
by: Zhang, Zixian, et al.
Published: (2024)
by: Zhang, Zixian, et al.
Published: (2024)
CodeAlignBench: Assessing Code Generation Models on Developer-Preferred Code Adjustments
by: Mehralian, Forough, et al.
Published: (2025)
by: Mehralian, Forough, et al.
Published: (2025)
Evaluating Large Language Models for Code Review
by: Cihan, Umut, et al.
Published: (2025)
by: Cihan, Umut, et al.
Published: (2025)
CodeFort: Robust Training for Code Generation Models
by: Zhang, Yuhao, et al.
Published: (2024)
by: Zhang, Yuhao, et al.
Published: (2024)
Automating Patch Set Generation from Code Review Comments Using Large Language Models
by: Rahman, Tajmilur, et al.
Published: (2024)
by: Rahman, Tajmilur, et al.
Published: (2024)
Benchmarks and Metrics for Evaluations of Code Generation: A Critical Review
by: Paul, Debalina Ghosh, et al.
Published: (2024)
by: Paul, Debalina Ghosh, et al.
Published: (2024)
AI-assisted Code Authoring at Scale: Fine-tuning, deploying, and mixed methods evaluation
by: Murali, Vijayaraghavan, et al.
Published: (2023)
by: Murali, Vijayaraghavan, et al.
Published: (2023)
Rethinking Code Review in the Age of AI: A Vision for Agentic Code Review
by: Kamalı, Hüseyin Özgür, et al.
Published: (2026)
by: Kamalı, Hüseyin Özgür, et al.
Published: (2026)
A Tertiary Review of Large Language Model-Based Code Generating Tasks: Trends, Challenges, and Future Directions
by: Chochlov, Muslim, et al.
Published: (2026)
by: Chochlov, Muslim, et al.
Published: (2026)
Bridging Generation and Training: A Systematic Review of Quality Issues in LLMs for Code
by: He, Kaifeng, et al.
Published: (2026)
by: He, Kaifeng, et al.
Published: (2026)
Code Review Agent Benchmark
by: Zhang, Yuntong, et al.
Published: (2026)
by: Zhang, Yuntong, et al.
Published: (2026)
AI-Assisted Assessment of Coding Practices in Modern Code Review
by: Vijayvergiya, Manushree, et al.
Published: (2024)
by: Vijayvergiya, Manushree, et al.
Published: (2024)
Understanding Defects in Generated Codes by Language Models
by: Esfahani, Ali Mohammadi, et al.
Published: (2024)
by: Esfahani, Ali Mohammadi, et al.
Published: (2024)
Metamorphic Testing of Deep Code Models: A Systematic Literature Review
by: Asgari, Ali, et al.
Published: (2025)
by: Asgari, Ali, et al.
Published: (2025)
Automated Code Review Using Large Language Models with Symbolic Reasoning
by: Icoz, Busra, et al.
Published: (2025)
by: Icoz, Busra, et al.
Published: (2025)
Assessing Code Understanding in LLMs
by: Laneve, Cosimo, et al.
Published: (2025)
by: Laneve, Cosimo, et al.
Published: (2025)
GeoCode-GPT: A Large Language Model for Geospatial Code Generation Tasks
by: Hou, Shuyang, et al.
Published: (2024)
by: Hou, Shuyang, et al.
Published: (2024)
Assessing GPT-4-Vision's Capabilities in UML-Based Code Generation
by: Antal, Gábor, et al.
Published: (2024)
by: Antal, Gábor, et al.
Published: (2024)
Task Abstention for Large Language Models in Code Generation
by: Zhou, Yanke, et al.
Published: (2026)
by: Zhou, Yanke, et al.
Published: (2026)
Flow2Code: Evaluating Large Language Models for Flowchart-based Code Generation Capability
by: He, Mengliang, et al.
Published: (2025)
by: He, Mengliang, et al.
Published: (2025)
RedCode: Risky Code Execution and Generation Benchmark for Code Agents
by: Guo, Chengquan, et al.
Published: (2024)
by: Guo, Chengquan, et al.
Published: (2024)
Model-Driven Quantum Code Generation Using Large Language Models and Retrieval-Augmented Generation
by: Siavash, Nazanin, et al.
Published: (2025)
by: Siavash, Nazanin, et al.
Published: (2025)
Large Language Model Guided Self-Debugging Code Generation
by: Adnan, Muntasir, et al.
Published: (2025)
by: Adnan, Muntasir, et al.
Published: (2025)
Personality-Guided Code Generation Using Large Language Models
by: Guo, Yaoqi, et al.
Published: (2024)
by: Guo, Yaoqi, et al.
Published: (2024)
Bugs in Large Language Models Generated Code: An Empirical Study
by: Tambon, Florian, et al.
Published: (2024)
by: Tambon, Florian, et al.
Published: (2024)
CodeCoT: Tackling Code Syntax Errors in CoT Reasoning for Code Generation
by: Huang, Dong, et al.
Published: (2023)
by: Huang, Dong, et al.
Published: (2023)
Assessing the Impact of Code Changes on the Fault Localizability of Large Language Models
by: Haroon, Sabaat, et al.
Published: (2025)
by: Haroon, Sabaat, et al.
Published: (2025)
DomAgent: Leveraging Knowledge Graphs and Case-Based Reasoning for Domain-Specific Code Generation
by: Wang, Shuai, et al.
Published: (2026)
by: Wang, Shuai, et al.
Published: (2026)
CodeVision: Detecting LLM-Generated Code Using 2D Token Probability Maps and Vision Models
by: Xu, Zhenyu, et al.
Published: (2025)
by: Xu, Zhenyu, et al.
Published: (2025)
Automatic Building Code Review: A Case Study
by: Wan, Hanlong, et al.
Published: (2025)
by: Wan, Hanlong, et al.
Published: (2025)
CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation
by: Gui, Ningxin, et al.
Published: (2025)
by: Gui, Ningxin, et al.
Published: (2025)
Domain Adaptation for Code Model-based Unit Test Case Generation
by: Shin, Jiho, et al.
Published: (2023)
by: Shin, Jiho, et al.
Published: (2023)
Similar Items
-
Previously on... Automating Code Review
by: Heumüller, Robert, et al.
Published: (2025) -
CATCODER: Repository-Level Code Generation with Relevant Code and Type Context
by: Pan, Zhiyuan, et al.
Published: (2024) -
TaskEval: Assessing Difficulty of Code Generation Tasks for Large Language Models
by: Tambon, Florian, et al.
Published: (2024) -
Multi-line AI-assisted Code Authoring
by: Dunay, Omer, et al.
Published: (2024) -
Analyzing Message-Code Inconsistency in AI Coding Agent-Authored Pull Requests
by: Gong, Jingzhi, et al.
Published: (2026)