Log parsing with prompt-based few-shot learning
Logs generated by large-scale software systems provide crucial information for engineers to
understand the system status and diagnose problems of the systems. Log parsing, which …
understand the system status and diagnose problems of the systems. Log parsing, which …
Automatic parsing and utilization of system log features in log analysis: A survey
J Ma, Y Liu, H Wan, G Sun - Applied Sciences, 2023 - mdpi.com
System logs are almost the only data that records system operation information, so they play
an important role in anomaly analysis, intrusion detection, and situational awareness …
an important role in anomaly analysis, intrusion detection, and situational awareness …
Owl: A large language model for it operations
With the rapid development of IT operations, it has become increasingly crucial to efficiently
manage and analyze large volumes of data for practical applications. The techniques of …
manage and analyze large volumes of data for practical applications. The techniques of …
[PDF][PDF] Unifying the perspectives of nlp and software engineering: A survey on language models for code
Z Zhang, C Chen, B Liu, C Liao, Z Gong… - arXiv preprint arXiv …, 2023 - simg.baai.ac.cn
In this work we systematically review the recent advancements in code processing with
language models, covering 50+ models, 30+ evaluation tasks, 170+ datasets, and 700 …
language models, covering 50+ models, 30+ evaluation tasks, 170+ datasets, and 700 …
Log parsing: How far can chatgpt go?
Software logs play an essential role in ensuring the reliability and maintainability of large-
scale software systems, as they are often the sole source of runtime information. Log …
scale software systems, as they are often the sole source of runtime information. Log …
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 …
Logprompt: Prompt engineering towards zero-shot and interpretable log analysis
Automated log analysis plays a crucial role in software maintenance as it allows for efficient
identification and resolution of issues. However, traditional methods employed in log …
identification and resolution of issues. However, traditional methods employed in log …
Knowlog: Knowledge enhanced pre-trained language model for log understanding
Logs as semi-structured text are rich in semantic information, making their comprehensive
understanding crucial for automated log analysis. With the recent success of pre-trained …
understanding crucial for automated log analysis. With the recent success of pre-trained …
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 …
PVE: A log parsing method based on VAE using embedding vectors
W Yuan, S Ying, X Duan, H Cheng, Y Zhao… - Information Processing & …, 2023 - Elsevier
Log parsing is a critical task that converts unstructured raw logs into structured data for
downstream tasks. Existing methods often rely on manual string-matching rules to extract …
downstream tasks. Existing methods often rely on manual string-matching rules to extract …