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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 …
Unifying the perspectives of nlp and software engineering: A survey on language models for code
In this work we systematically review the recent advancements in software engineering with
language models, covering 70+ models, 40+ evaluation tasks, 180+ datasets, and 900 …
language models, covering 70+ models, 40+ evaluation tasks, 180+ datasets, and 900 …
A survey on large language models for software engineering
Software Engineering (SE) is the systematic design, development, maintenance, and
management of software applications underpinning the digital infrastructure of our modern …
management of software applications underpinning the digital infrastructure of our modern …
Automatic parsing and utilization of system log features in log analysis: A survey
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 …
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 …
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 …
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 …
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 …
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 …
Interpretable online log analysis using large language models with prompt strategies
Automated log analysis is crucial in modern software-intensive systems for facilitating
program comprehension throughout software maintenance and engineering life cycles …
program comprehension throughout software maintenance and engineering life cycles …