Cover Image

SWE-bench-java: A GitHub Issue Resolving Benchmark for Java

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zan, Daoguang, Huang, Zhirong, Yu, Ailun, Lin, Shaoxin, Shi, Yifan, Liu, Wei, Chen, Dong, Qi, Zongshuai, Yu, Hao, Yu, Lei, Ran, Dezhi, Zeng, Muhan, Shen, Bo, Bian, Pan, Liang, Guangtai, Guan, Bei, Huang, Pengjie, Xie, Tao, Wang, Yongji, Wang, Qianxiang
Format:	Preprint
Published:	2024
Subjects:	Software Engineering Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
by: Jimenez, Carlos E., et al.
Published: (2023)

Improving Natural Language Capability of Code Large Language Model
by: Li, Wei, et al.
Published: (2024)

CodeV: Issue Resolving with Visual Data
by: Zhang, Linhao, et al.
Published: (2024)

Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving
by: Zan, Daoguang, et al.
Published: (2025)

CodeR: Issue Resolving with Multi-Agent and Task Graphs
by: Chen, Dong, et al.
Published: (2024)

Characterizing the Failure Modes of LLMs in Resolving Real-World GitHub Issues
by: Jiang, Yanjie, et al.
Published: (2026)

GraphCoder: Enhancing Repository-Level Code Completion via Code Context Graph-based Retrieval and Language Model
by: Liu, Wei, et al.
Published: (2024)

LEAN-GitHub: Compiling GitHub LEAN repositories for a versatile LEAN prover
by: Wu, Zijian, et al.
Published: (2024)

A GAN-based data poisoning framework against anomaly detection in vertical federated learning
by: Chen, Xiaolin, et al.
Published: (2024)

SWE-Mirror: Scaling Issue-Resolving Datasets by Mirroring Issues Across Repositories
by: Wang, Junhao, et al.
Published: (2025)

Imago GitHub training
by: Elsey, Jonathan
Published: (2026)

SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution
by: Xie, Chengxing, et al.
Published: (2025)

GitHub Proxy Server: A tool for supporting massive data collection on GitHub
by: Borges, Hudson Silva, et al.
Published: (2025)

CAM: A Collection of Snapshots of GitHub Java Repositories Together with Metrics
by: Bugayenko, Yegor
Published: (2024)

CodeS: Natural Language to Code Repository via Multi-Layer Sketch
by: Zan, Daoguang, et al.
Published: (2024)

SWE-bench Goes Live!
by: Zhang, Linghao, et al.
Published: (2025)

METXico Innovation CODE GitHub
by: Xool-Tamayo, Jorge, et al.
Published: (2023)

Guidelines for Developing Bots for GitHub
by: Wessel, Mairieli, et al.
Published: (2022)

Prioritising GitHub Priority Labels
by: Caddy, James, et al.
Published: (2024)

How Do Java Developers Reuse StackOverflow Answers in Their GitHub Projects?
by: Chen, Juntong, et al.
Published: (2023)

"My GitHub Sponsors profile is live!" Investigating the Impact of Twitter/X Mentions on GitHub Sponsors
by: Fan, Youmei, et al.
Published: (2024)

MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution
by: Tao, Wei, et al.
Published: (2024)

Weaponizing the Commons: A Taxonomy and Detection Framework of Abuse on GitHub
by: Cheng, Yuli, et al.
Published: (2026)

SWE-Debate: Competitive Multi-Agent Debate for Software Issue Resolution
by: Li, Han, et al.
Published: (2025)

How Complex is a GitHub Issue?
by: Anonymous
Published: (2025)

The Impact of Sanctions on GitHub Developers and Activities
by: Fan, Youmei, et al.
Published: (2024)

Fingerprinting AI Coding Agents on GitHub
by: Ghaleb, Taher A.
Published: (2026)

Where Is Self-admitted Code Generated by Large Language Models on GitHub?
by: Yu, Xiao, et al.
Published: (2024)

SwingArena: Competitive Programming Arena for Long-context GitHub Issue Solving
by: Xu, Wendong, et al.
Published: (2025)

Automating the Detection of Code Vulnerabilities by Analyzing GitHub Issues
by: Cipollone, Daniele, et al.
Published: (2025)

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

GitHub Marketplace for Automation and Innovation in Software Production
by: Saroar, SK Golam, et al.
Published: (2024)

Introducing Traceability in GitHub for Medical Software Development
by: Stirbu, Vlad, et al.
Published: (2021)

The Landscape of Toxicity: An Empirical Investigation of Toxicity on GitHub
by: Sarker, Jaydeb, et al.
Published: (2025)

Chaos Engineering in the Wild: Findings from GitHub
by: Owotogbe, Joshua, et al.
Published: (2025)

GitHub Copilot: the perfect Code compLeeter?
by: Siroš, Ilja, et al.
Published: (2024)

AIDev: Studying AI Coding Agents on GitHub
by: Li, Hao, et al.
Published: (2026)

Classifying Issues in Open-source GitHub Repositories
by: Raaj, Amir Hossain, et al.
Published: (2025)

An Empirical Study of the Evolution of GitHub Actions Workflows
by: Mazrae, Pooya Rostami, et al.
Published: (2026)

Visual Analysis of GitHub Issues to Gain Insights
by: Proma, Rifat Ara, et al.
Published: (2024)