Saved in:
| Main Authors: | Cheng, Runxiang, Tufano, Michele, Cito, Jürgen, Cambronero, José, Rondon, Pat, Wei, Renyao, Sun, Aaron, Chandra, Satish |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.01821 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Evaluating Agent-based Program Repair at Google
by: Rondon, Pat, et al.
Published: (2025)
by: Rondon, Pat, et al.
Published: (2025)
Dynamic Cogeneration of Bug Reproduction Test in Agentic Program Repair
by: Cheng, Runxiang, et al.
Published: (2026)
by: Cheng, Runxiang, et al.
Published: (2026)
Abstain and Validate: A Dual-LLM Policy for Reducing Noise in Agentic Program Repair
by: Cambronero, José, et al.
Published: (2025)
by: Cambronero, José, et al.
Published: (2025)
Towards a Human-in-the-Loop Framework for Reliable Patch Evaluation Using an LLM-as-a-Judge
by: Shi, Sherry, et al.
Published: (2025)
by: Shi, Sherry, et al.
Published: (2025)
Towards Verified Code Reasoning by LLMs
by: Sistla, Meghana, et al.
Published: (2025)
by: Sistla, Meghana, et al.
Published: (2025)
Adversarial Bug Reports as a Security Risk in Language Model-Based Automated Program Repair
by: Przymus, Piotr, et al.
Published: (2025)
by: Przymus, Piotr, et al.
Published: (2025)
Feedback-Driven Automated Whole Bug Report Reproduction for Android Apps
by: Wang, Dingbang, et al.
Published: (2024)
by: Wang, Dingbang, et al.
Published: (2024)
Automating Code Review: A Systematic Literature Review
by: Tufano, Rosalia, et al.
Published: (2025)
by: Tufano, Rosalia, et al.
Published: (2025)
An Empirical Study on Leveraging Images in Automated Bug Report Reproduction
by: Wang, Dingbang, et al.
Published: (2025)
by: Wang, Dingbang, et al.
Published: (2025)
Agentic Code Reasoning
by: Ugare, Shubham, et al.
Published: (2026)
by: Ugare, Shubham, et al.
Published: (2026)
Lost in Code Generation: Reimagining the Role of Software Models in AI-driven Software Engineering
by: Cito, Jürgen, et al.
Published: (2025)
by: Cito, Jürgen, et al.
Published: (2025)
Reducing Token Usage of State-in-Context Agents using Minification
by: Hrubec, Nicolas, et al.
Published: (2026)
by: Hrubec, Nicolas, et al.
Published: (2026)
On The Effectiveness of Dynamic Reduction Techniques in Automated Program Repair
by: Al-Bataineh, Omar I.
Published: (2024)
by: Al-Bataineh, Omar I.
Published: (2024)
Characterizing Real-World Bugs in Tile Programs for Automated Bug Detection
by: Rathnasuriya, Ravishka, et al.
Published: (2026)
by: Rathnasuriya, Ravishka, et al.
Published: (2026)
How is Google using AI for internal code migrations?
by: Nikolov, Stoyan, et al.
Published: (2025)
by: Nikolov, Stoyan, et al.
Published: (2025)
The Road to Hybrid Quantum Programs: Characterizing the Evolution from Classical to Hybrid Quantum Software
by: De Maio, Vincenzo, et al.
Published: (2025)
by: De Maio, Vincenzo, et al.
Published: (2025)
Self-Bootstrapping Automated Program Repair: Using LLMs to Generate and Evaluate Synthetic Training Data for Bug Repair
by: de-Fitero-Dominguez, David, et al.
Published: (2025)
by: de-Fitero-Dominguez, David, et al.
Published: (2025)
Specification Vibing for Automated Program Repair
by: Zhu, Taohong, et al.
Published: (2026)
by: Zhu, Taohong, et al.
Published: (2026)
Studying Quality Improvements Recommended via Manual and Automated Code Review
by: Crupi, Giuseppe, et al.
Published: (2026)
by: Crupi, Giuseppe, et al.
Published: (2026)
Online and Interactive Bayesian Inference Debugging
by: Nussbaumer, Nathanael, et al.
Published: (2025)
by: Nussbaumer, Nathanael, et al.
Published: (2025)
A Deep Dive into Large Language Models for Automated Bug Localization and Repair
by: Hossain, Soneya Binta, et al.
Published: (2024)
by: Hossain, Soneya Binta, et al.
Published: (2024)
AutoDev: Automated AI-Driven Development
by: Tufano, Michele, et al.
Published: (2024)
by: Tufano, Michele, et al.
Published: (2024)
PathFix: Automated Program Repair with Expected Path
by: He, Xu, et al.
Published: (2025)
by: He, Xu, et al.
Published: (2025)
BugRepro: Enhancing Android Bug Reproduction with Domain-Specific Knowledge Integration
by: Yin, Hongrong, et al.
Published: (2025)
by: Yin, Hongrong, et al.
Published: (2025)
ThinkRepair: Self-Directed Automated Program Repair
by: Yin, Xin, et al.
Published: (2024)
by: Yin, Xin, et al.
Published: (2024)
The Impact of Program Reduction on Automated Program Repair
by: Vidziunas, Linas, et al.
Published: (2024)
by: Vidziunas, Linas, et al.
Published: (2024)
Hybrid Automated Program Repair by Combining Large Language Models and Program Analysis
by: Li, Fengjie, et al.
Published: (2024)
by: Li, Fengjie, et al.
Published: (2024)
Combining Language and App UI Analysis for the Automated Assessment of Bug Reproduction Steps
by: Mahmud, Junayed, et al.
Published: (2025)
by: Mahmud, Junayed, et al.
Published: (2025)
TSAPR: A Tree Search Framework For Automated Program Repair
by: Hu, Haichuan, et al.
Published: (2025)
by: Hu, Haichuan, et al.
Published: (2025)
Energy Consumption of Automated Program Repair
by: Martinez, Matias, et al.
Published: (2022)
by: Martinez, Matias, et al.
Published: (2022)
Empirical Evaluation of Large Language Models in Automated Program Repair
by: Sun, Jiajun, et al.
Published: (2025)
by: Sun, Jiajun, et al.
Published: (2025)
Cochise: A Reference Harness for Autonomous Penetration Testing
by: Happe, Andreas, et al.
Published: (2026)
by: Happe, Andreas, et al.
Published: (2026)
Challenging Bug Prediction and Repair Models with Synthetic Bugs
by: Ibrahimzada, Ali Reza, et al.
Published: (2023)
by: Ibrahimzada, Ali Reza, et al.
Published: (2023)
Achieving Productivity Gains with AI-based IDE features: A Journey at Google
by: Tabachnyk, Maxim, et al.
Published: (2026)
by: Tabachnyk, Maxim, et al.
Published: (2026)
Less is More: Adaptive Program Repair with Bug Localization and Preference Learning
by: Dai, Zhenlong, et al.
Published: (2025)
by: Dai, Zhenlong, et al.
Published: (2025)
Evaluating the Generalizability of LLMs in Automated Program Repair
by: Li, Fengjie, et al.
Published: (2025)
by: Li, Fengjie, et al.
Published: (2025)
ContrastRepair: Enhancing Conversation-Based Automated Program Repair via Contrastive Test Case Pairs
by: Kong, Jiaolong, et al.
Published: (2024)
by: Kong, Jiaolong, et al.
Published: (2024)
Code Review Automation: Strengths and Weaknesses of the State of the Art
by: Tufano, Rosalia, et al.
Published: (2024)
by: Tufano, Rosalia, et al.
Published: (2024)
Statically Inferring Usage Bounds for Infrastructure as Code
by: Qiao, Feitong, et al.
Published: (2024)
by: Qiao, Feitong, et al.
Published: (2024)
Gradient-Based Program Repair: Fixing Bugs in Continuous Program Spaces
by: Silva, André, et al.
Published: (2025)
by: Silva, André, et al.
Published: (2025)
Similar Items
-
Evaluating Agent-based Program Repair at Google
by: Rondon, Pat, et al.
Published: (2025) -
Dynamic Cogeneration of Bug Reproduction Test in Agentic Program Repair
by: Cheng, Runxiang, et al.
Published: (2026) -
Abstain and Validate: A Dual-LLM Policy for Reducing Noise in Agentic Program Repair
by: Cambronero, José, et al.
Published: (2025) -
Towards a Human-in-the-Loop Framework for Reliable Patch Evaluation Using an LLM-as-a-Judge
by: Shi, Sherry, et al.
Published: (2025) -
Towards Verified Code Reasoning by LLMs
by: Sistla, Meghana, et al.
Published: (2025)