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

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
Publication Year :
2024

Abstract

GitHub issue resolving is a critical task in software engineering, recently gaining significant attention in both industry and academia. Within this task, SWE-bench has been released to evaluate issue resolving capabilities of large language models (LLMs), but has so far only focused on Python version. However, supporting more programming languages is also important, as there is a strong demand in industry. As a first step toward multilingual support, we have developed a Java version of SWE-bench, called SWE-bench-java. We have publicly released the dataset, along with the corresponding Docker-based evaluation environment and leaderboard, which will be continuously maintained and updated in the coming months. To verify the reliability of SWE-bench-java, we implement a classic method SWE-agent and test several powerful LLMs on it. As is well known, developing a high-quality multi-lingual benchmark is time-consuming and labor-intensive, so we welcome contributions through pull requests or collaboration to accelerate its iteration and refinement, paving the way for fully automated programming.<br />Comment: This work is in progress

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2408.14354
Document Type :
Working Paper