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 …

Log messages have been used widely in many software systems for a variety of purposes
during software development and field operation. There are two phases in software logging …

Low-code software development (LCSD) is an emerging paradigm that combines minimal
source code with interactive graphical interfaces to promote rapid application development …

Logging is a practice widely adopted in several phases of the software lifecycle. For
example, during software development log statements allow engineers to verify and debug …

Topic modeling using models such as Latent Dirichlet Allocation (LDA) is a text mining
technique to extract human-readable semantic “topics”(ie, word clusters) from a corpus of …

Low-code software development (LCSD) is an emerging approach to democratize
application development for software practitioners from diverse backgrounds. LCSD …

Deep learning has gained tremendous traction from the developer and researcher
communities. It plays an increasingly significant role in a number of application domains …

Logs are important in modern software development with runtime information. Log parsing is
the first step in many log-based analyses, that involve extracting structured information from …

Logging is a common programming practice of great importance in modern software
development, because software logs have been widely used in various software …

Software developers insert logging statements in their source code to collect important
runtime information of software systems. In practice, logging appropriately is a challenge for …