Copertina

EvalSVA: Multi-Agent Evaluators for Next-Gen Software Vulnerability Assessment

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wen, Xin-Cheng, Ye, Jiaxin, Gao, Cuiyun, Wu, Lianwei, Liao, Qing
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Software Engineering Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

VulEval: Towards Repository-Level Evaluation of Software Vulnerability Detection
di: Wen, Xin-Cheng, et al.
Pubblicazione: (2024)

Game Rewards Vulnerabilities: Software Vulnerability Detection with Zero-Sum Game and Prototype Learning
di: Wen, Xin-Cheng, et al.
Pubblicazione: (2024)

Vul-R2: A Reasoning LLM for Automated Vulnerability Repair
di: Wen, Xin-Cheng, et al.
Pubblicazione: (2025)

Boosting Vulnerability Detection of LLMs via Curriculum Preference Optimization with Synthetic Reasoning Data
di: Wen, Xin-Cheng, et al.
Pubblicazione: (2025)

SVA-ICL: Improving LLM-based Software Vulnerability Assessment via In-Context Learning and Information Fusion
di: Gao, Chaoyang, et al.
Pubblicazione: (2025)

SWE-Fuse: Empowering Software Agents via Issue-free Trajectory Learning and Entropy-aware RLVR Training
di: Wen, Xin-Cheng, et al.
Pubblicazione: (2026)

SCALE: Constructing Structured Natural Language Comment Trees for Software Vulnerability Detection
di: Wen, Xin-Cheng, et al.
Pubblicazione: (2024)

An Empirical Study of Knowledge Distillation for Code Understanding Tasks
di: Wang, Ruiqi, et al.
Pubblicazione: (2025)

DiagEval: Trajectory-Conditioned Diagnosis for Reliable Software Evaluation with GUI Agents
di: Hong, Sirui, et al.
Pubblicazione: (2026)

ReposVul: A Repository-Level High-Quality Vulnerability Dataset
di: Wang, Xinchen, et al.
Pubblicazione: (2024)

Evaluating Repository-level Software Documentation via Question Answering and Feature-Driven Development
di: Wang, Xinchen, et al.
Pubblicazione: (2026)

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection
di: Wen, Xin-Cheng, et al.
Pubblicazione: (2024)

Can LLMs Replace Human Evaluators? An Empirical Study of LLM-as-a-Judge in Software Engineering
di: Wang, Ruiqi, et al.
Pubblicazione: (2025)

RepoMasterEval: Evaluating Code Completion via Real-World Repositories
di: Wu, Qinyun, et al.
Pubblicazione: (2024)

Evaluating LLM-Based 0-to-1 Software Generation in End-to-End CLI Tool Scenarios
di: Hu, Ruida, et al.
Pubblicazione: (2026)

SR-Eval: Evaluating LLMs on Code Generation under Stepwise Requirement Refinement
di: Zhan, Zexun, et al.
Pubblicazione: (2025)

AXIOM: Benchmarking LLM-as-a-Judge for Code via Rule-Based Perturbation and Multisource Quality Calibration
di: Wang, Ruiqi, et al.
Pubblicazione: (2025)

Software Vulnerability and Functionality Assessment using LLMs
di: Jensen, Rasmus Ingemann Tuffveson, et al.
Pubblicazione: (2024)

MLLM-Based UI2Code Automation Guided by UI Layout Information
di: Wu, Fan, et al.
Pubblicazione: (2025)

Benchmarking Multimodal LLMs on Code Generation for Complex Interactive Webpages
di: Wu, Fan, et al.
Pubblicazione: (2026)

Schedule-and-Calibrate: Utility-Guided Multi-Task Reinforcement Learning for Code LLMs
di: Chen, Yujia, et al.
Pubblicazione: (2026)

Weakly Supervised Vulnerability Localization via Multiple Instance Learning
di: Gu, Wenchao, et al.
Pubblicazione: (2025)

ComplexCodeEval: A Benchmark for Evaluating Large Code Models on More Complex Code
di: Feng, Jia, et al.
Pubblicazione: (2024)

On the Replicability and Reproducibility of Deep Learning in Software Engineering
di: Liu, Chao, et al.
Pubblicazione: (2020)

Trae Agent: An LLM-based Agent for Software Engineering with Test-time Scaling
di: Trae Research Team, et al.
Pubblicazione: (2025)

CodeRepoQA: A Large-scale Benchmark for Software Engineering Question Answering
di: Hu, Ruida, et al.
Pubblicazione: (2024)

Benchmarking LLMs for Fine-Grained Code Review with Enriched Context in Practice
di: Hu, Ruida, et al.
Pubblicazione: (2025)

AgentArcEval: An Architecture Evaluation Method for Foundation Model based Agents
di: Lu, Qinghua, et al.
Pubblicazione: (2025)

The Current Challenges of Software Engineering in the Era of Large Language Models
di: Gao, Cuiyun, et al.
Pubblicazione: (2024)

SWE-Next: Scalable Real-World Software Engineering Tasks for Agents
di: Liang, Jiarong, et al.
Pubblicazione: (2026)

AEGIS: An Agent-based Framework for General Bug Reproduction from Issue Descriptions
di: Wang, Xinchen, et al.
Pubblicazione: (2024)

Pros and Cons! Evaluating ChatGPT on Software Vulnerability
di: Yin, Xin
Pubblicazione: (2024)

DevEval: Evaluating Code Generation in Practical Software Projects
di: Li, Jia, et al.
Pubblicazione: (2024)

CodeVisionary: An Agent-based Framework for Evaluating Large Language Models in Code Generation
di: Wang, Xinchen, et al.
Pubblicazione: (2025)

Bridge and Hint: Extending Pre-trained Language Models for Long-Range Code
di: Chen, Yujia, et al.
Pubblicazione: (2024)

Explaining Software Vulnerabilities with Large Language Models
di: Johnson, Oshando, et al.
Pubblicazione: (2025)

LLM-Based Test Case Generation in DBMS through Monte Carlo Tree Search
di: Chen, Yujia, et al.
Pubblicazione: (2026)

OSS-UAgent: An Agent-based Usability Evaluation Framework for Open Source Software
di: Meng, Lingkai, et al.
Pubblicazione: (2025)

VulnLLMEval: A Framework for Evaluating Large Language Models in Software Vulnerability Detection and Patching
di: Zibaeirad, Arastoo, et al.
Pubblicazione: (2024)

When Shared Worlds Break: Demystifying Defects in Multi-User Extended Reality Software Systems
di: Li, Shuqing, et al.
Pubblicazione: (2025)