Saved in:
| Main Authors: | Stavtsev, Maxim, Shershakov, Sergey |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.04219 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Evaluating the Dependency Between Cyclomatic Complexity and Response For Class
by: Stavtsev, Maxim, et al.
Published: (2024)
by: Stavtsev, Maxim, et al.
Published: (2024)
Reducing Events to Augment Log-based Anomaly Detection Models: An Empirical Study
by: Zhang, Lingzhe, et al.
Published: (2024)
by: Zhang, Lingzhe, et al.
Published: (2024)
LogBabylon: A Unified Framework for Cross-Log File Integration and Analysis
by: Karanjai, Rabimba, et al.
Published: (2024)
by: Karanjai, Rabimba, et al.
Published: (2024)
LogLLM: Log-based Anomaly Detection Using Large Language Models
by: Guan, Wei, et al.
Published: (2024)
by: Guan, Wei, et al.
Published: (2024)
LogParser-LLM: Advancing Efficient Log Parsing with Large Language Models
by: Zhong, Aoxiao, et al.
Published: (2024)
by: Zhong, Aoxiao, et al.
Published: (2024)
LogDx-CI: Benchmarking Log Reduction Tools for LLM Root-Cause Diagnosis
by: Qin, Bowen
Published: (2026)
by: Qin, Bowen
Published: (2026)
LogReasoner: Empowering LLMs with Expert-like Coarse-to-Fine Reasoning for Automated Log Analysis
by: Ma, Lipeng, et al.
Published: (2025)
by: Ma, Lipeng, et al.
Published: (2025)
R-Log: Incentivizing Log Analysis Capability in LLMs via Reasoning-based Reinforcement Learning
by: Liu, Yilun, et al.
Published: (2025)
by: Liu, Yilun, et al.
Published: (2025)
LibreLog: Accurate and Efficient Unsupervised Log Parsing Using Open-Source Large Language Models
by: Ma, Zeyang, et al.
Published: (2024)
by: Ma, Zeyang, et al.
Published: (2024)
MicLog: Towards Accurate and Efficient LLM-based Log Parsing via Progressive Meta In-Context Learning
by: Yu, Jianbo, et al.
Published: (2026)
by: Yu, Jianbo, et al.
Published: (2026)
GR-NLP-TOOLKIT: An Open-Source NLP Toolkit for Modern Greek
by: Loukas, Lefteris, et al.
Published: (2024)
by: Loukas, Lefteris, et al.
Published: (2024)
Self-Adaptive ERP: Embedding NLP into Petri-Net creation and Model Matching
by: Maged, Ahmed, et al.
Published: (2025)
by: Maged, Ahmed, et al.
Published: (2025)
From Few-Label to Zero-Label: An Approach for Cross-System Log-Based Anomaly Detection with Meta-Learning
by: Zhao, Xinlong, et al.
Published: (2025)
by: Zhao, Xinlong, et al.
Published: (2025)
Lemur: Log Parsing with Entropy Sampling and Chain-of-Thought Merging
by: Zhang, Wei, et al.
Published: (2024)
by: Zhang, Wei, et al.
Published: (2024)
LLMParser: An Exploratory Study on Using Large Language Models for Log Parsing
by: Ma, Zeyang, et al.
Published: (2024)
by: Ma, Zeyang, et al.
Published: (2024)
AgentTrace: A Structured Logging Framework for Agent System Observability
by: AlSayyad, Adam, et al.
Published: (2026)
by: AlSayyad, Adam, et al.
Published: (2026)
SDLog: A Deep Learning Framework for Detecting Sensitive Information in Software Logs
by: Aghili, Roozbeh, et al.
Published: (2025)
by: Aghili, Roozbeh, et al.
Published: (2025)
LUK: Empowering Log Understanding with Expert Knowledge from Large Language Models
by: Ma, Lipeng, et al.
Published: (2024)
by: Ma, Lipeng, et al.
Published: (2024)
Towards Secure Logging: Characterizing and Benchmarking Logging Code Security Issues with LLMs
by: Yuan, He Yang, et al.
Published: (2026)
by: Yuan, He Yang, et al.
Published: (2026)
LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection
by: Guo, Hongcheng, et al.
Published: (2024)
by: Guo, Hongcheng, et al.
Published: (2024)
OmniLLP: Enhancing LLM-based Log Level Prediction with Context-Aware Retrieval
by: Ouatiti, Youssef Esseddiq, et al.
Published: (2025)
by: Ouatiti, Youssef Esseddiq, et al.
Published: (2025)
Scalable and Efficient Large-Scale Log Analysis with LLMs: An IT Software Support Case Study
by: Gupta, Pranjal, et al.
Published: (2025)
by: Gupta, Pranjal, et al.
Published: (2025)
SECite: Analyzing and Summarizing Citations in Software Engineering Literature
by: Pyreddy, Shireesh Reddy, et al.
Published: (2026)
by: Pyreddy, Shireesh Reddy, et al.
Published: (2026)
AdaptiveLog: An Adaptive Log Analysis Framework with the Collaboration of Large and Small Language Model
by: Ma, Lipeng, et al.
Published: (2025)
by: Ma, Lipeng, et al.
Published: (2025)
From Flat Logs to Causal Graphs: Hierarchical Failure Attribution for LLM-based Multi-Agent Systems
by: Wang, Yawen, et al.
Published: (2026)
by: Wang, Yawen, et al.
Published: (2026)
Combining Large Language Models with Static Analyzers for Code Review Generation
by: Jaoua, Imen, et al.
Published: (2025)
by: Jaoua, Imen, et al.
Published: (2025)
Analyzing Prompt Influence on Automated Method Generation: An Empirical Study with Copilot
by: Fagadau, Ionut Daniel, et al.
Published: (2024)
by: Fagadau, Ionut Daniel, et al.
Published: (2024)
Cracking CodeWhisperer: Analyzing Developers' Interactions and Patterns During Programming Tasks
by: Javahar, Jeena, et al.
Published: (2025)
by: Javahar, Jeena, et al.
Published: (2025)
Analyzing Message-Code Inconsistency in AI Coding Agent-Authored Pull Requests
by: Gong, Jingzhi, et al.
Published: (2026)
by: Gong, Jingzhi, et al.
Published: (2026)
Advanced System Integration: Analyzing OpenAPI Chunking for Retrieval-Augmented Generation
by: Pesl, Robin D., et al.
Published: (2024)
by: Pesl, Robin D., et al.
Published: (2024)
Analyzing Chain of Thought (CoT) Approaches in Control Flow Code Deobfuscation Tasks
by: Mohseni, Seyedreza, et al.
Published: (2026)
by: Mohseni, Seyedreza, et al.
Published: (2026)
Text Tells the Cost: Predicting and Analyzing Repayment Effort of Self-Admitted Technical Debt
by: Li, Yikun, et al.
Published: (2023)
by: Li, Yikun, et al.
Published: (2023)
KRONE: Scalable LLM-Augmented Log Anomaly Detection via Hierarchical Abstraction
by: Ma, Lei, et al.
Published: (2026)
by: Ma, Lei, et al.
Published: (2026)
Detect, Localize, and Explain: Interactive Hierarchical Log Anomaly Analytics with LLM Augmentation
by: Ma, Lei, et al.
Published: (2026)
by: Ma, Lei, et al.
Published: (2026)
Unifying the Perspectives of NLP and Software Engineering: A Survey on Language Models for Code
by: Zhang, Ziyin, et al.
Published: (2023)
by: Zhang, Ziyin, et al.
Published: (2023)
What Information Contributes to Log-based Anomaly Detection? Insights from a Configurable Transformer-Based Approach
by: Wu, Xingfang, et al.
Published: (2024)
by: Wu, Xingfang, et al.
Published: (2024)
Themisto: Jupyter-Based Runtime Benchmark
by: Grotov, Konstantin, et al.
Published: (2025)
by: Grotov, Konstantin, et al.
Published: (2025)
Graph Neural Networks based Log Anomaly Detection and Explanation
by: Li, Zhong, et al.
Published: (2023)
by: Li, Zhong, et al.
Published: (2023)
MLAD: A Unified Model for Multi-system Log Anomaly Detection
by: Zang, Runqiang, et al.
Published: (2024)
by: Zang, Runqiang, et al.
Published: (2024)
LLM-Empowered Event-Chain Driven Code Generation for ADAS in SDV systems
by: Petrovic, Nenad, et al.
Published: (2025)
by: Petrovic, Nenad, et al.
Published: (2025)
Similar Items
-
Evaluating the Dependency Between Cyclomatic Complexity and Response For Class
by: Stavtsev, Maxim, et al.
Published: (2024) -
Reducing Events to Augment Log-based Anomaly Detection Models: An Empirical Study
by: Zhang, Lingzhe, et al.
Published: (2024) -
LogBabylon: A Unified Framework for Cross-Log File Integration and Analysis
by: Karanjai, Rabimba, et al.
Published: (2024) -
LogLLM: Log-based Anomaly Detection Using Large Language Models
by: Guan, Wei, et al.
Published: (2024) -
LogParser-LLM: Advancing Efficient Log Parsing with Large Language Models
by: Zhong, Aoxiao, et al.
Published: (2024)