Saved in:
| Main Authors: | Moon, SunMin, Gim, Jangwon, Kim, Chaerin, Kim, Yeeun, Kim, YoungJoo, Choi, Kang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.17853 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Don't Judge Code by Its Cover: Exploring Biases in LLM Judges for Code Evaluation
by: Moon, Jiwon, et al.
Published: (2025)
by: Moon, Jiwon, et al.
Published: (2025)
Automating Code Generation for Semiconductor Equipment Control from Developer Utterances with LLMs
by: Kim, Youngkyoung, et al.
Published: (2025)
by: Kim, Youngkyoung, et al.
Published: (2025)
ReflexiCoder: Teaching Large Language Models to Self-Reflect on Generated Code and Self-Correct It via Reinforcement Learning
by: Jiang, Juyong, et al.
Published: (2026)
by: Jiang, Juyong, et al.
Published: (2026)
Codexity: Secure AI-assisted Code Generation
by: Kim, Sung Yong, et al.
Published: (2024)
by: Kim, Sung Yong, et al.
Published: (2024)
From Noise to Knowledge: Interactive Summaries for Developer Alerts
by: Yetiştiren, Burak, et al.
Published: (2025)
by: Yetiştiren, Burak, et al.
Published: (2025)
Identifying Bug Inducing Commits by Combining Fault Localisation and Code Change Histories
by: An, Gabin, et al.
Published: (2025)
by: An, Gabin, et al.
Published: (2025)
Innovative Software Development and Project Management Framework for Technology Startups
by: Kim, Song-Kyoo
Published: (2017)
by: Kim, Song-Kyoo
Published: (2017)
ACT: Automated CPS Testing for Open-Source Robotic Platforms
by: Krishnan, Aditya A., et al.
Published: (2026)
by: Krishnan, Aditya A., et al.
Published: (2026)
iCodeReviewer: Improving Secure Code Review with Mixture of Prompts
by: Peng, Yun, et al.
Published: (2025)
by: Peng, Yun, et al.
Published: (2025)
Quantum Neural Network Software Testing, Analysis, and Code Optimization for Advanced IoT Systems: Design, Implementation, and Visualization
by: Park, Soohyun, et al.
Published: (2024)
by: Park, Soohyun, et al.
Published: (2024)
The Conversations Beneath the Code: Triadic Data for Long-Horizon Software Engineering Agents
by: Kim, Yelin
Published: (2026)
by: Kim, Yelin
Published: (2026)
Hallucination by Code Generation LLMs: Taxonomy, Benchmarks, Mitigation, and Challenges
by: Lee, Yunseo, et al.
Published: (2025)
by: Lee, Yunseo, et al.
Published: (2025)
Think Like Human Developers: Harnessing Community Knowledge for Structured Code Reasoning
by: Yang, Chengran, et al.
Published: (2025)
by: Yang, Chengran, et al.
Published: (2025)
Does AI Code Review Lead to Code Changes? A Case Study of GitHub Actions
by: Sun, Kexin, et al.
Published: (2025)
by: Sun, Kexin, et al.
Published: (2025)
Migrating Code At Scale With LLMs At Google
by: Ziftci, Celal, et al.
Published: (2025)
by: Ziftci, Celal, et al.
Published: (2025)
Development and Benchmarking of Multilingual Code Clone Detector
by: Zhu, Wenqing, et al.
Published: (2024)
by: Zhu, Wenqing, et al.
Published: (2024)
The AI-Native Software Development Lifecycle: A Theoretical and Practical New Methodology
by: Hymel, Cory
Published: (2024)
by: Hymel, Cory
Published: (2024)
Lachesis: Predicting LLM Inference Accuracy using Structural Properties of Reasoning Paths
by: Kim, Naryeong, et al.
Published: (2024)
by: Kim, Naryeong, et al.
Published: (2024)
WhyFlow: Interrogative Debugger for Sensemaking Taint Analysis
by: Yetiştiren, Burak, et al.
Published: (2025)
by: Yetiştiren, Burak, et al.
Published: (2025)
Experimental Analysis of Productive Interaction Strategy with ChatGPT: User Study on Function and Project-level Code Generation Tasks
by: Hyun, Sangwon, et al.
Published: (2025)
by: Hyun, Sangwon, et al.
Published: (2025)
Predicting Developer Acceptance of AI-Generated Code Suggestions
by: Jiang, Jing, et al.
Published: (2026)
by: Jiang, Jing, et al.
Published: (2026)
CodeComplex: Dataset for Worst-Case Time Complexity Prediction
by: Baik, Seung-Yeop, et al.
Published: (2024)
by: Baik, Seung-Yeop, et al.
Published: (2024)
IEA-Plugin: An AI Agent Reasoner for Test Data Analytics
by: Kim, Seoyeon, et al.
Published: (2025)
by: Kim, Seoyeon, et al.
Published: (2025)
Collaborator or Assistant? How AI Coding Agents Partition Work Across Pull Request Lifecycles
by: Jo, Young, et al.
Published: (2026)
by: Jo, Young, et al.
Published: (2026)
DuET: Dual Execution for Test Output Prediction with Generated Code and Pseudocode
by: Han, Hojae, et al.
Published: (2026)
by: Han, Hojae, et al.
Published: (2026)
AI Exchange Platforms
by: Schneider, Johannes, et al.
Published: (2025)
by: Schneider, Johannes, et al.
Published: (2025)
Improving the Developer Experience with a Low-Code Process Modelling Language
by: Henriques, Henrique, et al.
Published: (2025)
by: Henriques, Henrique, et al.
Published: (2025)
Production-Grade AI Coding System for Client-Side Development
by: Wang, Ruihan, et al.
Published: (2026)
by: Wang, Ruihan, et al.
Published: (2026)
Beyond the Commit: Developer Perspectives on Productivity with AI Coding Assistants
by: Chen, Valerie, et al.
Published: (2026)
by: Chen, Valerie, et al.
Published: (2026)
Agentsway -- Software Development Methodology for AI Agents-based Teams
by: Bandara, Eranga, et al.
Published: (2025)
by: Bandara, Eranga, et al.
Published: (2025)
Ensuring Functional Correctness of Large Code Models with Selective Generation
by: Jeong, Jaewoo, et al.
Published: (2025)
by: Jeong, Jaewoo, et al.
Published: (2025)
Unveiling Memorization in Code Models
by: Yang, Zhou, et al.
Published: (2023)
by: Yang, Zhou, et al.
Published: (2023)
CodeArena: A Collective Evaluation Platform for LLM Code Generation
by: Du, Mingzhe, et al.
Published: (2025)
by: Du, Mingzhe, et al.
Published: (2025)
CodeAgent: Autonomous Communicative Agents for Code Review
by: Tang, Xunzhu, et al.
Published: (2024)
by: Tang, Xunzhu, et al.
Published: (2024)
Toward Inclusive Low-Code Development: Detecting Accessibility Issues in User Reviews
by: Mohammadkhani, Mohammadali, et al.
Published: (2025)
by: Mohammadkhani, Mohammadali, et al.
Published: (2025)
A Survey on Large Language Models for Code Generation
by: Jiang, Juyong, et al.
Published: (2024)
by: Jiang, Juyong, et al.
Published: (2024)
From Education to Evidence: A Collaborative Practice Research Platform for AI-Integrated Agile Development
by: Geger, Tobias, et al.
Published: (2026)
by: Geger, Tobias, et al.
Published: (2026)
Rethinking the Capability of Fine-Tuned Language Models for Automated Vulnerability Repair
by: Han, Woorim, et al.
Published: (2025)
by: Han, Woorim, et al.
Published: (2025)
ReDef: Do Code Language Models Truly Understand Code Changes for Just-in-Time Software Defect Prediction?
by: Nam, Doha, et al.
Published: (2025)
by: Nam, Doha, et al.
Published: (2025)
SafePlanner: Testing Safety of the Automated Driving System Plan Model
by: Kim, Dohyun, et al.
Published: (2026)
by: Kim, Dohyun, et al.
Published: (2026)
Similar Items
-
Don't Judge Code by Its Cover: Exploring Biases in LLM Judges for Code Evaluation
by: Moon, Jiwon, et al.
Published: (2025) -
Automating Code Generation for Semiconductor Equipment Control from Developer Utterances with LLMs
by: Kim, Youngkyoung, et al.
Published: (2025) -
ReflexiCoder: Teaching Large Language Models to Self-Reflect on Generated Code and Self-Correct It via Reinforcement Learning
by: Jiang, Juyong, et al.
Published: (2026) -
Codexity: Secure AI-assisted Code Generation
by: Kim, Sung Yong, et al.
Published: (2024) -
From Noise to Knowledge: Interactive Summaries for Developer Alerts
by: Yetiştiren, Burak, et al.
Published: (2025)