Copertina

Detecting Anomalies in Software Execution Logs with Siamese Network

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Hashemi, Shayan, Mäntylä, Mika
Natura:	Preprint
Pubblicazione:	2021
Soggetti:	Software Engineering
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

OneLog: Towards End-to-End Training in Software Log Anomaly Detection
di: Hashemi, Shayan, et al.
Pubblicazione: (2021)

Token Interdependency Parsing (Tipping) -- Fast and Accurate Log Parsing
di: Hashemi, Shayan, et al.
Pubblicazione: (2024)

Speed and Performance of Parserless and Unsupervised Anomaly Detection Methods on Software Logs
di: Nyyssölä, Jesse, et al.
Pubblicazione: (2023)

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

Cross-System Software Log-based Anomaly Detection Using Meta-Learning
di: Wang, Yuqing, et al.
Pubblicazione: (2024)

LogLead -- Fast and Integrated Log Loader, Enhancer, and Anomaly Detector
di: Mäntylä, Mika, et al.
Pubblicazione: (2023)

Assessing REST API Test Generation Strategies with Log Coverage
di: Reinikainen, Nana, et al.
Pubblicazione: (2026)

Research Artifacts in Secondary Studies: A Systematic Mapping in Software Engineering
di: Huotala, Aleksi, et al.
Pubblicazione: (2025)

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

SESR-Eval: Dataset for Evaluating LLMs in the Title-Abstract Screening of Systematic Reviews
di: Huotala, Aleksi, et al.
Pubblicazione: (2025)

Individual Differences Limit Predicting Well-being and Productivity Using Software Repositories: A Longitudinal Industrial Study
di: Kuutila, Miikka, et al.
Pubblicazione: (2021)

Multi-Agent Systems for Root Cause Analysis in Microservices
di: Naakka, Alexander, et al.
Pubblicazione: (2026)

LO2: Microservice API Anomaly Dataset of Logs and Metrics
di: Bakhtin, Alexander, et al.
Pubblicazione: (2025)

Practitioners' Expectations on Log Anomaly Detection
di: Ma, Xiaoxue, et al.
Pubblicazione: (2024)

What Makes Programmers Laugh? Exploring the Submissions of the Subreddit r/ProgrammerHumor
di: Kuutila, Miikka, et al.
Pubblicazione: (2024)

Detection, Classification and Prevalence of Self-Admitted Aging Debt
di: Sridharan, Murali, et al.
Pubblicazione: (2025)

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

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

On the Effectiveness of Log Representation for Log-based Anomaly Detection
di: Wu, Xingfang, et al.
Pubblicazione: (2023)

AnomalyGen: An Automated Semantic Log Sequence Generation Framework with LLM for Anomaly Detection
di: Li, Xinyu, et al.
Pubblicazione: (2025)

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

Impact of Log Parsing on Deep Learning-Based Anomaly Detection
di: Khan, Zanis Ali, et al.
Pubblicazione: (2023)

LogELECTRA: Self-supervised Anomaly Detection for Unstructured Logs
di: Yamanaka, Yuuki, et al.
Pubblicazione: (2024)

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

Logging Like Humans for LLMs: Rethinking Logging via Execution and Runtime Feedback
di: Wang, Xin, et al.
Pubblicazione: (2026)

LLM meets ML: Data-efficient Anomaly Detection on Unstable Logs
di: Hadadi, Fatemeh, et al.
Pubblicazione: (2024)

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

ASGNet: Adaptive Semantic Gate Networks for Log-Based Anomaly Diagnosis
di: Yang, Haitian, et al.
Pubblicazione: (2024)

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

AISysRev -- LLM-based Tool for Title-abstract Screening
di: Huotala, Aleksi, et al.
Pubblicazione: (2025)

LogPurge: Log Data Purification for Anomaly Detection via Rule-Enhanced Filtering
di: Zhang, Shenglin, et al.
Pubblicazione: (2025)

On the Influence of Data Resampling for Deep Learning-Based Log Anomaly Detection: Insights and Recommendations
di: Ma, Xiaoxue, et al.
Pubblicazione: (2024)

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

Towards a Taxonomy of Software Log Smells
di: Saarimäki, Nyyti, et al.
Pubblicazione: (2024)

ASTD Patterns for Integrated Continuous Anomaly Detection In Data Logs
di: Jabri, Chaymae El, et al.
Pubblicazione: (2024)

Advanced Vulnerability Scanning for Open Source Software: Detection and Mitigation of Log4j Vulnerabilities
di: Wen, Victor, et al.
Pubblicazione: (2026)

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

Log Parsing Evaluation in the Era of Modern Software Systems
di: Petrescu, Stefan, et al.
Pubblicazione: (2023)

Protecting Privacy in Software Logs: What Should Be Anonymized?
di: Aghili, Roozbeh, et al.
Pubblicazione: (2024)

Software Space Analytics: Towards Visualization and Statistics of Internal Software Execution
di: Saito, Shinobu
Pubblicazione: (2026)