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Log-based anomaly detection without log parsing
Software systems often record important runtime information in system logs for
troubleshooting purposes. There have been many studies that use log data to construct …
troubleshooting purposes. There have been many studies that use log data to construct …
Systematic map**: Artificial intelligence techniques in software engineering
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 …
making it a trending topic within the software engineering (SE) community. The rise in the …
Logram: Efficient Log Parsing Using -Gram Dictionaries
Software systems usually record important runtime information in their logs. Logs help
practitioners understand system runtime behaviors and diagnose field failures. As logs are …
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 …
Nowadays, reliability assurance is crucial in components of IT infrastructures. Unavailability
of any element or connection results in downtime and triggers monetary and performance …
of any element or connection results in downtime and triggers monetary and performance …
System log parsing: A survey
Modern information and communication systems have become increasingly challenging to
manage. The ubiquitous system logs contain plentiful information and are thus widely …
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 …
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
This work is devoted to the development of a neural network method for helicopters
turboshaft engines working process thermo-gas-dynamic parameters identification. The …
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
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 …
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 …
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.
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 …
onboard monitoring system for helicopters turboshaft engines. In this work, neural network …