A survey on automated log analysis for reliability engineering
Logs are semi-structured text generated by logging statements in software source code. In
recent decades, software logs have become imperative in the reliability assurance …
recent decades, software logs have become imperative in the reliability assurance …
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 …
A comprehensive survey of logging in software: From logging statements automation to log mining and analysis
S Gholamian, PAS Ward - arXiv preprint arXiv:2110.12489, 2021 - arxiv.org
Logs are widely used to record runtime information of software systems, such as the
timestamp and the importance of an event, the unique ID of the source of the log, and a part …
timestamp and the importance of an event, the unique ID of the source of the log, and a part …
Logformer: A pre-train and tuning pipeline for log anomaly detection
Log anomaly detection is a key component in the field of artificial intelligence for IT
operations (AIOps). Considering log data of variant domains, retraining the whole network …
operations (AIOps). Considering log data of variant domains, retraining the whole network …
Translog: A unified transformer-based framework for log anomaly detection
Log anomaly detection is a key component in the field of artificial intelligence for IT
operations (AIOps). Considering log data of variant domains, retraining the whole network …
operations (AIOps). Considering log data of variant domains, retraining the whole network …
LogAssist: Assisting log analysis through log summarization
Logs contain valuable information about the runtime behaviors of software systems. Thus,
practitioners rely on logs for various tasks such as debugging, system comprehension, and …
practitioners rely on logs for various tasks such as debugging, system comprehension, and …
Logshrink: Effective log compression by leveraging commonality and variability of log data
Log data is a crucial resource for recording system events and states during system
execution. However, as systems grow in scale, log data generation has become increasingly …
execution. However, as systems grow in scale, log data generation has become increasingly …
PILAR: Studying and mitigating the influence of configurations on log parsing
The significance of logs has been widely acknowledged with the adoption of various log
analysis techniques that assist in software engineering tasks. Many log analysis techniques …
analysis techniques that assist in software engineering tasks. Many log analysis techniques …
Studying duplicate logging statements and their relationships with code clones
Developers rely on software logs for a variety of tasks, such as debugging, testing, program
comprehension, verification, and performance analysis. Despite the importance of logs, prior …
comprehension, verification, and performance analysis. Despite the importance of logs, prior …
Trends in tribological behaviour of materials for compressors
SS Patel, MS Shiva, T Kataray… - Journal of Physics …, 2022 - iopscience.iop.org
This review accumulates information from various research works about the preferable
manufacturing process, process parameters, parts of the compressor, working principle …
manufacturing process, process parameters, parts of the compressor, working principle …