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20232026
most citedVulEval: Towards Repository-Level Evaluation of Software Vulnerability Detection

2 citations · 4 across the 14 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.SE2024

CodeRepoQA: A Large-scale Benchmark for Software Engineering Question Answering

Ruida Hu, Chao Peng, Jingyi Ren +6

In this work, we introduce CodeRepoQA, a large-scale benchmark specifically designed for evaluating repository-level question-answering capabilities in the field of software engine…

cs.SE2024

A Real-World Benchmark for Evaluating Fine-Grained Issue Solving Capabilities of Large Language Models

Ruida Hu, Chao Peng, Jingyi Ren +6

Automatically resolving software issues is crucial for software development in practice, impacting the software quality and user experience. The process of resolving real-world iss…

cs.SE2024

AEGIS: An Agent-based Framework for General Bug Reproduction from Issue Descriptions

Xinchen Wang, Pengfei Gao, Xiangxin Meng +4

In software maintenance, bug reproduction is essential for effective fault localization and repair. Manually writing reproduction scripts is a time-consuming task with high require…

cs.SE2024

RepoMasterEval: Evaluating Code Completion via Real-World Repositories

Qinyun Wu, Chao Peng, Pengfei Gao +9

With the growing reliance on automated code completion tools in software development, the need for comprehensive evaluation benchmarks has become critical. Existing benchmarks focu…

cs.SE2024★ 2 cited

VulEval: Towards Repository-Level Evaluation of Software Vulnerability Detection

Xin-Cheng Wen, Xinchen Wang, Yujia Chen +3

Deep Learning (DL)-based methods have proven to be effective for software vulnerability detection, with a potential for substantial productivity enhancements for detecting vulnerab…

cs.CR2024

ReposVul: A Repository-Level High-Quality Vulnerability Dataset

Xinchen Wang, Ruida Hu, Cuiyun Gao +3

Open-Source Software (OSS) vulnerabilities bring great challenges to the software security and pose potential risks to our society. Enormous efforts have been devoted into automate…