Systematic Evaluation of Deep Learning Models for Log-based Failure Prediction
Fuente:
arXiv
Saved in:
| Main Authors: | Hadadi, Fatemeh, Dawes, Joshua H., Shin, Donghwan, Bianculli, Domenico, Briand, Lionel |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LLM meets ML: Data-efficient Anomaly Detection on Unstable Logs
by: Hadadi, Fatemeh, et al.
Published: (2024)
by: Hadadi, Fatemeh, et al.
Published: (2024)
Impact of Log Parsing on Deep Learning-Based Anomaly Detection
by: Khan, Zanis Ali, et al.
Published: (2023)
by: Khan, Zanis Ali, et al.
Published: (2023)
Towards a Taxonomy of Software Log Smells
by: Saarimäki, Nyyti, et al.
Published: (2024)
by: Saarimäki, Nyyti, et al.
Published: (2024)
A Comprehensive Study of Machine Learning Techniques for Log-Based Anomaly Detection
by: Ali, Shan, et al.
Published: (2023)
by: Ali, Shan, et al.
Published: (2023)
Trace Diagnostics for Signal-based Temporal Properties
by: Boufaied, Chaima, et al.
Published: (2022)
by: Boufaied, Chaima, et al.
Published: (2022)
Learning-Based Relaxation of Completeness Requirements for Data Entry Forms
by: Belgacem, Hichem, et al.
Published: (2023)
by: Belgacem, Hichem, et al.
Published: (2023)
A Machine Learning Approach for Automated Filling of Categorical Fields in Data Entry Forms
by: Belgacem, Hichem, et al.
Published: (2022)
by: Belgacem, Hichem, et al.
Published: (2022)
Testing CPS with Design Assumptions-Based Metamorphic Relations and Genetic Programming
by: Mandrioli, Claudio, et al.
Published: (2024)
by: Mandrioli, Claudio, et al.
Published: (2024)
Rigorous Assessment of Model Inference Accuracy using Language Cardinality
by: Clun, Donato, et al.
Published: (2022)
by: Clun, Donato, et al.
Published: (2022)
SAGA: Detecting Security Vulnerabilities Using Static Aspect Analysis
by: Marquer, Yoann, et al.
Published: (2026)
by: Marquer, Yoann, et al.
Published: (2026)
Stress Testing Control Loops in Cyber-Physical Systems
by: Mandrioli, Claudio, et al.
Published: (2023)
by: Mandrioli, Claudio, et al.
Published: (2023)
Learning Failure-Inducing Models for Testing Software-Defined Networks
by: Ollando, Raphaël, et al.
Published: (2022)
by: Ollando, Raphaël, et al.
Published: (2022)
Quantum Program Linting with LLMs: Emerging Results from a Comparative Study
by: Shin, Seung Yeob, et al.
Published: (2025)
by: Shin, Seung Yeob, et al.
Published: (2025)
Learning-Guided Fuzzing for Testing Stateful SDN Controllers
by: Ollando, Raphaël, et al.
Published: (2024)
by: Ollando, Raphaël, et al.
Published: (2024)
Towards Generating Executable Metamorphic Relations Using Large Language Models
by: Shin, Seung Yeob, et al.
Published: (2024)
by: Shin, Seung Yeob, et al.
Published: (2024)
A Piece of QAICCC: Towards a Countermeasure Against Crosstalk Attacks in Quantum Servers
by: Marquer, Yoann, et al.
Published: (2025)
by: Marquer, Yoann, et al.
Published: (2025)
Diagnosing Violations of State-based Specifications in iCFTL
by: Stratan, Cristina, et al.
Published: (2025)
by: Stratan, Cristina, et al.
Published: (2025)
LTM: Scalable and Black-box Similarity-based Test Suite Minimization based on Language Models
by: Pan, Rongqi, et al.
Published: (2023)
by: Pan, Rongqi, et al.
Published: (2023)
Testing Updated Apps by Adapting Learned Models
by: Ngo, Chanh-Duc, et al.
Published: (2023)
by: Ngo, Chanh-Duc, et al.
Published: (2023)
Mutation-based Consistency Testing for Evaluating the Code Understanding Capability of LLMs
by: Li, Ziyu, et al.
Published: (2024)
by: Li, Ziyu, et al.
Published: (2024)
Randomized and Diverse Input State Generation for Quantum Program Testing
by: Ernzer, Maryse, et al.
Published: (2026)
by: Ernzer, Maryse, et al.
Published: (2026)
Fuzzing-based Mutation Testing of C/C++ Software in Cyber-Physical Systems
by: Lee, Jaekwon, et al.
Published: (2025)
by: Lee, Jaekwon, et al.
Published: (2025)
Drivora: A Unified and Extensible Infrastructure for Search-based Autonomous Driving Testing
by: Cheng, Mingfei, et al.
Published: (2026)
by: Cheng, Mingfei, et al.
Published: (2026)
Can LLMs Solve Science or Just Write Code? Evaluating Quantum Solver Generation
by: Baresi, Luciano, et al.
Published: (2026)
by: Baresi, Luciano, et al.
Published: (2026)
Search-based DNN Testing and Retraining with GAN-enhanced Simulations
by: Attaoui, Mohammed Oualid, et al.
Published: (2024)
by: Attaoui, Mohammed Oualid, et al.
Published: (2024)
TEASMA: A Practical Methodology for Test Adequacy Assessment of Deep Neural Networks
by: Abbasishahkoo, Amin, et al.
Published: (2023)
by: Abbasishahkoo, Amin, et al.
Published: (2023)
Software Testing for Extended Reality Applications: A Systematic Mapping Study
by: Gu, Ruizhen, et al.
Published: (2025)
by: Gu, Ruizhen, et al.
Published: (2025)
GDPR-Relevant Privacy Concerns in Mobile Apps Research: A Systematic Literature Review
by: Cejas, Orlando Amaral, et al.
Published: (2024)
by: Cejas, Orlando Amaral, et al.
Published: (2024)
Characterizing the Failure Modes of LLMs in Resolving Real-World GitHub Issues
by: Jiang, Yanjie, et al.
Published: (2026)
by: Jiang, Yanjie, et al.
Published: (2026)
Beyond Rules: LLM-Powered Linting for Quantum Programs
by: Cassieri, Pietro, et al.
Published: (2026)
by: Cassieri, Pietro, et al.
Published: (2026)
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 Systematic Mapping Study on the Debugging of Autonomous Driving Systems
by: Shaw, Nathan, et al.
Published: (2026)
by: Shaw, Nathan, et al.
Published: (2026)
Mutation-Guided Unit Test Generation with a Large Language Model
by: Wang, Guancheng, et al.
Published: (2025)
by: Wang, Guancheng, et al.
Published: (2025)
FlakyFix: Using Large Language Models for Predicting Flaky Test Fix Categories and Test Code Repair
by: Fatima, Sakina, et al.
Published: (2023)
by: Fatima, Sakina, et al.
Published: (2023)
Automated Test Case Repair Using Language Models
by: Yaraghi, Ahmadreza Saboor, et al.
Published: (2024)
by: Yaraghi, Ahmadreza Saboor, et al.
Published: (2024)
SMARLA: A Safety Monitoring Approach for Deep Reinforcement Learning Agents
by: Zolfagharian, Amirhossein, et al.
Published: (2023)
by: Zolfagharian, Amirhossein, et al.
Published: (2023)
DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep Neural Networks
by: Aghababaeyan, Zohreh, et al.
Published: (2023)
by: Aghababaeyan, Zohreh, et al.
Published: (2023)
CodeAD: Synthesize Code of Rules for Log-based Anomaly Detection with LLMs
by: Huang, Junjie, et al.
Published: (2025)
by: Huang, Junjie, et al.
Published: (2025)
MOTIF: A tool for Mutation Testing with Fuzzing
by: Lee, Jaekwon, et al.
Published: (2024)
by: Lee, Jaekwon, et al.
Published: (2024)
Hallucination to Consensus: Multi-Agent LLMs for End-to-End JUnit Test Generation
by: Xu, Qinghua, et al.
Published: (2025)
by: Xu, Qinghua, et al.
Published: (2025)
Similar Items
-
LLM meets ML: Data-efficient Anomaly Detection on Unstable Logs
by: Hadadi, Fatemeh, et al.
Published: (2024) -
Impact of Log Parsing on Deep Learning-Based Anomaly Detection
by: Khan, Zanis Ali, et al.
Published: (2023) -
Towards a Taxonomy of Software Log Smells
by: Saarimäki, Nyyti, et al.
Published: (2024) -
A Comprehensive Study of Machine Learning Techniques for Log-Based Anomaly Detection
by: Ali, Shan, et al.
Published: (2023) -
Trace Diagnostics for Signal-based Temporal Properties
by: Boufaied, Chaima, et al.
Published: (2022)