Imagen de Portada

Enhancing Web Service Anomaly Detection via Fine-grained Multi-modal Association and Frequency Domain Analysis

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Yang, Xixuan, Huang, Xin, Duan, Chiming, Jia, Tong, Dong, Shandong, Li, Ying, Huang, Gang
Formato:	Preprint
Publicado:	2025
Materias:	Software Engineering Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

AgentFM: Role-Aware Failure Management for Distributed Databases with LLM-Driven Multi-Agents
por: Zhang, Lingzhe, et al.
Publicado: (2025)

FusionLog: Cross-System Log-based Anomaly Detection via Fusion of General and Proprietary Knowledge
por: Zhao, Xinlong, et al.
Publicado: (2025)

ZeroLog: Zero-Label Generalizable Cross-System Log-based Anomaly Detection
por: Zhao, Xinlong, et al.
Publicado: (2025)

Walk the Talk: Is Your Log-based Software Reliability Maintenance System Really Reliable?
por: He, Minghua, et al.
Publicado: (2025)

United We Stand: Towards End-to-End Log-based Fault Diagnosis via Interactive Multi-Task Learning
por: He, Minghua, et al.
Publicado: (2025)

ThinkFL: Self-Refining Failure Localization for Microservice Systems via Reinforcement Fine-Tuning
por: Zhang, Lingzhe, et al.
Publicado: (2025)

LogAction: Consistent Cross-system Anomaly Detection through Logs via Active Domain Adaptation
por: Duan, Chiming, et al.
Publicado: (2025)

Adaptive Root Cause Localization for Microservice Systems with Multi-Agent Recursion-of-Thought
por: Zhang, Lingzhe, et al.
Publicado: (2025)

Agentic Memory Enhanced Recursive Reasoning for Root Cause Localization in Microservices
por: Zhang, Lingzhe, et al.
Publicado: (2026)

E2E-REME: Towards End-to-End Microservices Auto-Remediation via Experience-Simulation Reinforcement Fine-Tuning
por: Zhang, Lingzhe, et al.
Publicado: (2026)

From Few-Label to Zero-Label: An Approach for Cross-System Log-Based Anomaly Detection with Meta-Learning
por: Zhao, Xinlong, et al.
Publicado: (2025)

Multivariate Log-based Anomaly Detection for Distributed Database
por: Zhang, Lingzhe, et al.
Publicado: (2024)

Generality Is Not Enough: Zero-Label Cross-System Log-Based Anomaly Detection via Knowledge-Level Collaboration
por: Zhao, Xinlong, et al.
Publicado: (2025)

Hypothesize-Then-Verify: Speculative Root Cause Analysis for Microservices with Pathwise Parallelism
por: Zhang, Lingzhe, et al.
Publicado: (2026)

Multi-modal Learning for WebAssembly Reverse Engineering
por: Huang, Hanxian, et al.
Publicado: (2024)

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought
por: Zhang, Lingzhe, et al.
Publicado: (2026)

Reducing Events to Augment Log-based Anomaly Detection Models: An Empirical Study
por: Zhang, Lingzhe, et al.
Publicado: (2024)

Efficient Failure Management for Multi-Agent Systems with Reasoning Trace Representation
por: Zhang, Lingzhe, et al.
Publicado: (2026)

TraceRAG: A LLM-Based Framework for Explainable Android Malware Detection and Behavior Analysis
por: Zhang, Guangyu, et al.
Publicado: (2025)

WebMAC: A Multi-Agent Collaborative Framework for Scenario Testing of Web Systems
por: Wan, Zhenyu, et al.
Publicado: (2026)

BugRepro: Enhancing Android Bug Reproduction with Domain-Specific Knowledge Integration
por: Yin, Hongrong, et al.
Publicado: (2025)

Fine-grained Multi-Document Extraction and Generation of Code Change Rationale
por: Sun, Mehedi, et al.
Publicado: (2026)

Research on WebAssembly Runtimes: A Survey
por: Zhang, Yixuan, et al.
Publicado: (2024)

AnomalyGen: Enhancing Log-Based Anomaly Detection with Code-Guided Data Augmentation
por: Li, Xinyu, et al.
Publicado: (2026)

Fine-grained Testing for Autonomous Driving Software: a Study on Autoware with LLM-driven Unit Testing
por: Wang, Wenhan, et al.
Publicado: (2025)

A Hierarchical and Evolvable Benchmark for Fine-Grained Code Instruction Following with Multi-Turn Feedback
por: Duan, Guoliang, et al.
Publicado: (2025)

LogDB: Multivariate Log-based Failure Diagnosis for Distributed Databases (Extended from MultiLog)
por: Zhang, Lingzhe, et al.
Publicado: (2025)

RuntimeSlicer: Towards Generalizable Unified Runtime State Representation for Failure Management
por: Zhang, Lingzhe, et al.
Publicado: (2026)

Boosting Vulnerability Detection with Inter-function Multilateral Association Insights
por: Qiu, Shaojian, et al.
Publicado: (2025)

LogSD: Detecting Anomalies from System Logs through Self-supervised Learning and Frequency-based Masking
por: Xie, Yongzheng, et al.
Publicado: (2024)

LogICL: Distilling LLM Reasoning to Bridge the Semantic Gap in Cross-Domain Log Anomaly Detection
por: Ye, Jingwei, et al.
Publicado: (2025)

TriFusion-LLM: Prior-Guided Multimodal Fusion with LLM Arbitration for Fine-grained Code Clone Detection
por: Li, Mengdi, et al.
Publicado: (2026)

Towards Robust LLM Post-Training: Automatic Failure Management for Reinforcement Fine-Tuning
por: Zhang, Lingzhe, et al.
Publicado: (2026)

Temac: Multi-Agent Collaboration for Automated Web GUI Testing
por: Liu, Chenxu, et al.
Publicado: (2025)

Testing Medical Rules Web Services in Practice
por: Laaber, Christoph, et al.
Publicado: (2024)

M2CVD: Enhancing Vulnerability Semantic through Multi-Model Collaboration for Code Vulnerability Detection
por: Wang, Ziliang, et al.
Publicado: (2024)

A Comparative Study of Semantic Log Representations for Software Log-based Anomaly Detection
por: Wang, Yuqing, et al.
Publicado: (2026)

AnoMod: A Dataset for Anomaly Detection and Root Cause Analysis in Microservice Systems
por: Ping, Ke, et al.
Publicado: (2026)

Generating Mock Skeletons for Lightweight Web-Service Testing
por: Bhagya, Thilini, et al.
Publicado: (2019)

Evaluating Large Language Models for Time Series Anomaly Detection in Aerospace Software
por: Liu, Yang, et al.
Publicado: (2026)