Log-based anomaly detection without log parsing

VH Le, H Zhang - … 36th IEEE/ACM International Conference on …, 2021 - ieeexplore.ieee.org
Software systems often record important runtime information in system logs for
troubleshooting purposes. There have been many studies that use log data to construct …

Systematic map**: Artificial intelligence techniques in software engineering

H Sofian, NAM Yunus, R Ahmad - IEEE Access, 2022 - ieeexplore.ieee.org
Artificial Intelligence (AI) has become a core feature of today's real-world applications,
making it a trending topic within the software engineering (SE) community. The rise in the …

Logram: Efficient Log Parsing Using -Gram Dictionaries

H Dai, H Li, CS Chen, W Shang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Software systems usually record important runtime information in their logs. Logs help
practitioners understand system runtime behaviors and diagnose field failures. As logs are …

IT infrastructure anomaly detection and failure handling: A systematic literature review focusing on datasets, log preprocessing, machine & deep learning approaches …

DA Bhanage, AV Pawar, K Kotecha - IEEE Access, 2021 - ieeexplore.ieee.org
Nowadays, reliability assurance is crucial in components of IT infrastructures. Unavailability
of any element or connection results in downtime and triggers monetary and performance …

System log parsing: A survey

T Zhang, H Qiu, G Castellano, M Rifai… - … on Knowledge and …, 2023 - ieeexplore.ieee.org
Modern information and communication systems have become increasingly challenging to
manage. The ubiquitous system logs contain plentiful information and are thus widely …

An effective approach for parsing large log files

I Sedki, A Hamou-Lhadj… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
Because of their contribution to the overall reliability assurance process, software logs have
become important data assets for the analysis of software systems. Logs are often the only …

Neural network method for helicopters turboshaft engines working process parameters identification at flight modes

S Vladov, Y Shmelov, R Yakovliev… - 2022 IEEE 4th …, 2022 - ieeexplore.ieee.org
This work is devoted to the development of a neural network method for helicopters
turboshaft engines working process thermo-gas-dynamic parameters identification. The …

A literature review and existing challenges on software logging practices: From the creation to the analysis of software logs

MA Batoun, M Sayagh, R Aghili, A Ouni, H Li - Empirical Software …, 2024 - Springer
Software logging is the practice of recording different events and activities that occur within a
software system, which are useful for different activities such as failure prediction and …

Landscape of automated log analysis: A systematic literature review and map** study

Ł Korzeniowski, K Goczyła - IEEE Access, 2022 - ieeexplore.ieee.org
Logging is a common practice in software engineering to provide insights into working
systems. The main uses of log files have always been failure identification and root cause …

[PDF][PDF] Neural Network Modeling of Helicopters Turboshaft Engines at Flight Modes Using an Approach Based on" Black Box" Models.

S Vladov, R Yakovliev, O Hubachov, J Rud… - IT&I, 2023 - ceur-ws.org
The work is devoted to further research in the field of creation and modernization of an
onboard monitoring system for helicopters turboshaft engines. In this work, neural network …