Copertina

NLP-Based .NET CLR Event Logs Analyzer

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Stavtsev, Maxim, Shershakov, Sergey
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Software Engineering Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Evaluating the Dependency Between Cyclomatic Complexity and Response For Class
di: Stavtsev, Maxim, et al.
Pubblicazione: (2024)

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

LogBabylon: A Unified Framework for Cross-Log File Integration and Analysis
di: Karanjai, Rabimba, et al.
Pubblicazione: (2024)

LogLLM: Log-based Anomaly Detection Using Large Language Models
di: Guan, Wei, et al.
Pubblicazione: (2024)

LogParser-LLM: Advancing Efficient Log Parsing with Large Language Models
di: Zhong, Aoxiao, et al.
Pubblicazione: (2024)

LogDx-CI: Benchmarking Log Reduction Tools for LLM Root-Cause Diagnosis
di: Qin, Bowen
Pubblicazione: (2026)

LogReasoner: Empowering LLMs with Expert-like Coarse-to-Fine Reasoning for Automated Log Analysis
di: Ma, Lipeng, et al.
Pubblicazione: (2025)

R-Log: Incentivizing Log Analysis Capability in LLMs via Reasoning-based Reinforcement Learning
di: Liu, Yilun, et al.
Pubblicazione: (2025)

LibreLog: Accurate and Efficient Unsupervised Log Parsing Using Open-Source Large Language Models
di: Ma, Zeyang, et al.
Pubblicazione: (2024)

MicLog: Towards Accurate and Efficient LLM-based Log Parsing via Progressive Meta In-Context Learning
di: Yu, Jianbo, et al.
Pubblicazione: (2026)

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

Self-Adaptive ERP: Embedding NLP into Petri-Net creation and Model Matching
di: Maged, Ahmed, et al.
Pubblicazione: (2025)

GR-NLP-TOOLKIT: An Open-Source NLP Toolkit for Modern Greek
di: Loukas, Lefteris, et al.
Pubblicazione: (2024)

Lemur: Log Parsing with Entropy Sampling and Chain-of-Thought Merging
di: Zhang, Wei, et al.
Pubblicazione: (2024)

LLMParser: An Exploratory Study on Using Large Language Models for Log Parsing
di: Ma, Zeyang, et al.
Pubblicazione: (2024)

AgentTrace: A Structured Logging Framework for Agent System Observability
di: AlSayyad, Adam, et al.
Pubblicazione: (2026)

SDLog: A Deep Learning Framework for Detecting Sensitive Information in Software Logs
di: Aghili, Roozbeh, et al.
Pubblicazione: (2025)

LUK: Empowering Log Understanding with Expert Knowledge from Large Language Models
di: Ma, Lipeng, et al.
Pubblicazione: (2024)

OmniLLP: Enhancing LLM-based Log Level Prediction with Context-Aware Retrieval
di: Ouatiti, Youssef Esseddiq, et al.
Pubblicazione: (2025)

Scalable and Efficient Large-Scale Log Analysis with LLMs: An IT Software Support Case Study
di: Gupta, Pranjal, et al.
Pubblicazione: (2025)

SECite: Analyzing and Summarizing Citations in Software Engineering Literature
di: Pyreddy, Shireesh Reddy, et al.
Pubblicazione: (2026)

From Flat Logs to Causal Graphs: Hierarchical Failure Attribution for LLM-based Multi-Agent Systems
di: Wang, Yawen, et al.
Pubblicazione: (2026)

Towards Secure Logging: Characterizing and Benchmarking Logging Code Security Issues with LLMs
di: Yuan, He Yang, et al.
Pubblicazione: (2026)

LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection
di: Guo, Hongcheng, et al.
Pubblicazione: (2024)

Combining Large Language Models with Static Analyzers for Code Review Generation
di: Jaoua, Imen, et al.
Pubblicazione: (2025)

Analyzing Prompt Influence on Automated Method Generation: An Empirical Study with Copilot
di: Fagadau, Ionut Daniel, et al.
Pubblicazione: (2024)

AdaptiveLog: An Adaptive Log Analysis Framework with the Collaboration of Large and Small Language Model
di: Ma, Lipeng, et al.
Pubblicazione: (2025)

Cracking CodeWhisperer: Analyzing Developers' Interactions and Patterns During Programming Tasks
di: Javahar, Jeena, et al.
Pubblicazione: (2025)

Analyzing Message-Code Inconsistency in AI Coding Agent-Authored Pull Requests
di: Gong, Jingzhi, et al.
Pubblicazione: (2026)

Advanced System Integration: Analyzing OpenAPI Chunking for Retrieval-Augmented Generation
di: Pesl, Robin D., et al.
Pubblicazione: (2024)

Analyzing Chain of Thought (CoT) Approaches in Control Flow Code Deobfuscation Tasks
di: Mohseni, Seyedreza, et al.
Pubblicazione: (2026)

Text Tells the Cost: Predicting and Analyzing Repayment Effort of Self-Admitted Technical Debt
di: Li, Yikun, et al.
Pubblicazione: (2023)

KRONE: Scalable LLM-Augmented Log Anomaly Detection via Hierarchical Abstraction
di: Ma, Lei, et al.
Pubblicazione: (2026)

Detect, Localize, and Explain: Interactive Hierarchical Log Anomaly Analytics with LLM Augmentation
di: Ma, Lei, et al.
Pubblicazione: (2026)

Themisto: Jupyter-Based Runtime Benchmark
di: Grotov, Konstantin, et al.
Pubblicazione: (2025)

What Information Contributes to Log-based Anomaly Detection? Insights from a Configurable Transformer-Based Approach
di: Wu, Xingfang, et al.
Pubblicazione: (2024)

LLM-Empowered Event-Chain Driven Code Generation for ADAS in SDV systems
di: Petrovic, Nenad, et al.
Pubblicazione: (2025)

Unifying the Perspectives of NLP and Software Engineering: A Survey on Language Models for Code
di: Zhang, Ziyin, et al.
Pubblicazione: (2023)

Graph Neural Networks based Log Anomaly Detection and Explanation
di: Li, Zhong, et al.
Pubblicazione: (2023)

Query2Diagram: Answering Developer Queries with UML Diagrams
di: Baryshnikov, Oleg, et al.
Pubblicazione: (2026)