Scalable and Efficient Large-Scale Log Analysis with LLMs: An IT Software Support Case Study
Fuente:
arXiv
Saved in:
| Main Authors: | Gupta, Pranjal, Bhukar, Karan, Kumar, Harshit, Nagar, Seema, Mohapatra, Prateeti, Kar, Debanjana |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
NOVAID: Natural-language Observability Visualization Assistant for ITOps Dashboard Widget Generation
by: Mishra, Pratik, et al.
Published: (2025)
by: Mishra, Pratik, et al.
Published: (2025)
ScriptSmith: A Unified LLM Framework for Enhancing IT Operations via Automated Bash Script Generation, Assessment, and Refinement
by: Chatterjee, Oishik, et al.
Published: (2024)
by: Chatterjee, Oishik, et al.
Published: (2024)
Interval Analysis in Industrial-Scale BMC Software Verifiers: A Case Study
by: Menezes, Rafael Sá, et al.
Published: (2024)
by: Menezes, Rafael Sá, et al.
Published: (2024)
A Comparative Study of Semantic Log Representations for Software Log-based Anomaly Detection
by: Wang, Yuqing, et al.
Published: (2026)
by: Wang, Yuqing, et al.
Published: (2026)
LLMs Are Not a Silver Bullet: A Case Study on Software Fairness
by: Li, Xinyue, et al.
Published: (2026)
by: Li, Xinyue, et al.
Published: (2026)
CodeSift: An LLM-Based Reference-Less Framework for Automatic Code Validation
by: Aggarwal, Pooja, et al.
Published: (2024)
by: Aggarwal, Pooja, et al.
Published: (2024)
Using LLMs and Essence to Support Software Practice Adoption
by: Nicoletti, Sonia, et al.
Published: (2025)
by: Nicoletti, Sonia, et al.
Published: (2025)
Supporting Software Formal Verification with Large Language Models: An Experimental Study
by: Wang, Weiqi, et al.
Published: (2025)
by: Wang, Weiqi, et al.
Published: (2025)
Programming with Pixels: Can Computer-Use Agents do Software Engineering?
by: Aggarwal, Pranjal, et al.
Published: (2025)
by: Aggarwal, Pranjal, et al.
Published: (2025)
Analyzing Logs of Large-Scale Software Systems using Time Curves Visualization
by: Borysenkov, Dmytro, et al.
Published: (2024)
by: Borysenkov, Dmytro, et al.
Published: (2024)
MIT Lincoln Laboratory: A Case Study on Improving Software Support for Research Projects
by: Strassler, Daniel, et al.
Published: (2025)
by: Strassler, Daniel, et al.
Published: (2025)
Exploring the Effectiveness of LLMs in Automated Logging Generation: An Empirical Study
by: Li, Yichen, et al.
Published: (2023)
by: Li, Yichen, et al.
Published: (2023)
A Slice-Based Change Impact Analysis for Regression Test Case Prioritization of Object-Oriented Programs
by: Panda, S., et al.
Published: (2025)
by: Panda, S., et al.
Published: (2025)
Towards a Taxonomy of Software Log Smells
by: Saarimäki, Nyyti, et al.
Published: (2024)
by: Saarimäki, Nyyti, et al.
Published: (2024)
LogPilot: Intent-aware and Scalable Alert Diagnosis for Large-scale Online Service Systems
by: Jiang, Zhihan, et al.
Published: (2025)
by: Jiang, Zhihan, et al.
Published: (2025)
Log Parsing Evaluation in the Era of Modern Software Systems
by: Petrescu, Stefan, et al.
Published: (2023)
by: Petrescu, Stefan, et al.
Published: (2023)
Detecting Anomalies in Software Execution Logs with Siamese Network
by: Hashemi, Shayan, et al.
Published: (2021)
by: Hashemi, Shayan, et al.
Published: (2021)
Protecting Privacy in Software Logs: What Should Be Anonymized?
by: Aghili, Roozbeh, et al.
Published: (2024)
by: Aghili, Roozbeh, et al.
Published: (2024)
Defects4Log: Benchmarking LLMs for Logging Code Defect Detection and Reasoning
by: Wang, Xin, et al.
Published: (2025)
by: Wang, Xin, et al.
Published: (2025)
Logging Like Humans for LLMs: Rethinking Logging via Execution and Runtime Feedback
by: Wang, Xin, et al.
Published: (2026)
by: Wang, Xin, et al.
Published: (2026)
A Large-Scale Evaluation for Log Parsing Techniques: How Far Are We?
by: Jiang, Zhihan, et al.
Published: (2023)
by: Jiang, Zhihan, et al.
Published: (2023)
Scaling Symbolic Execution to Large Software Systems
by: Horvath, Gabor, et al.
Published: (2024)
by: Horvath, Gabor, et al.
Published: (2024)
Studying and Benchmarking Large Language Models For Log Level Suggestion
by: Heng, Yi Wen, et al.
Published: (2024)
by: Heng, Yi Wen, et al.
Published: (2024)
Architectural Support for Software Performance in Continuous Software Engineering: A Systematic Mapping Study
by: Eramo, Romina, et al.
Published: (2023)
by: Eramo, Romina, et al.
Published: (2023)
A Large-Scale Study on Developer Engagement and Expertise in Configurable Software System Projects
by: Milano, Karolina M., et al.
Published: (2025)
by: Milano, Karolina M., et al.
Published: (2025)
Characterizing Bugs and Quality Attributes in Quantum Software: A Large-Scale Empirical Study
by: Yousuf, Mir Mohammad, et al.
Published: (2025)
by: Yousuf, Mir Mohammad, et al.
Published: (2025)
LogParser-LLM: Advancing Efficient Log Parsing with Large Language Models
by: Zhong, Aoxiao, et al.
Published: (2024)
by: Zhong, Aoxiao, et al.
Published: (2024)
An Empirical Study on the Potential of LLMs in Automated Software Refactoring
by: Liu, Bo, et al.
Published: (2024)
by: Liu, Bo, et al.
Published: (2024)
Comparative Analysis of Quantum and Classical Support Vector Classifiers for Software Bug Prediction: An Exploratory Study
by: Nadim, Md, et al.
Published: (2025)
by: Nadim, Md, et al.
Published: (2025)
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)
Speed and Performance of Parserless and Unsupervised Anomaly Detection Methods on Software Logs
by: Nyyssölä, Jesse, et al.
Published: (2023)
by: Nyyssölä, Jesse, et al.
Published: (2023)
FastLog: An End-to-End Method to Efficiently Generate and Insert Logging Statements
by: Xie, Xiaoyuan, et al.
Published: (2023)
by: Xie, Xiaoyuan, et al.
Published: (2023)
ArchAgent: Scalable Legacy Software Architecture Recovery with LLMs
by: Pan, Rusheng, et al.
Published: (2026)
by: Pan, Rusheng, et al.
Published: (2026)
Stronger, Cheaper and Demonstration-Free Log Parsing with LLMs
by: Xiao, Yi, et al.
Published: (2024)
by: Xiao, Yi, et al.
Published: (2024)
Single-Language Evidence Is Insufficient for Automated Logging: A Multilingual Benchmark and Empirical Study with LLMs
by: Zhong, Renyi, et al.
Published: (2026)
by: Zhong, Renyi, et al.
Published: (2026)
Is Your Private Information Logged? An Empirical Study on Android App Logs
by: Chen, Zhiyuan, et al.
Published: (2026)
by: Chen, Zhiyuan, et al.
Published: (2026)
What Makes Software Bugs Escape Testing? Evidence from a Large-Scale Empirical Study
by: Cotroneo, Domenico, et al.
Published: (2026)
by: Cotroneo, Domenico, et al.
Published: (2026)
Identifying Critical Dependencies in Large-Scale Continuous Software Engineering
by: Tkalich, Anastasiia, et al.
Published: (2025)
by: Tkalich, Anastasiia, et al.
Published: (2025)
OneLog: Towards End-to-End Training in Software Log Anomaly Detection
by: Hashemi, Shayan, et al.
Published: (2021)
by: Hashemi, Shayan, et al.
Published: (2021)
Similar Items
-
NOVAID: Natural-language Observability Visualization Assistant for ITOps Dashboard Widget Generation
by: Mishra, Pratik, et al.
Published: (2025) -
ScriptSmith: A Unified LLM Framework for Enhancing IT Operations via Automated Bash Script Generation, Assessment, and Refinement
by: Chatterjee, Oishik, et al.
Published: (2024) -
Interval Analysis in Industrial-Scale BMC Software Verifiers: A Case Study
by: Menezes, Rafael Sá, et al.
Published: (2024) -
A Comparative Study of Semantic Log Representations for Software Log-based Anomaly Detection
by: Wang, Yuqing, et al.
Published: (2026) -
LLMs Are Not a Silver Bullet: A Case Study on Software Fairness
by: Li, Xinyue, et al.
Published: (2026)