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 …

Predictive models are one of the most important techniques that are widely applied in many
areas of software engineering. There have been a large number of primary studies that …

A variety of research methods and techniques are available to SE researchers, and while
several overviews exist, there is consistency neither in the research methods covered nor in …

Software systems usually record important runtime information in their logs. Logs help
practitioners understand system runtime behaviors and diagnose field failures. As logs are …

Just-in-Time (JIT) defect prediction-a technique which aims to predict bugs at change level-
has been paid more attention. JIT defect prediction leverages the SZZ approach to identify …

When systems fail in production environments, log data is often the only information
available to programmers for postmortem debugging. Consequently, programmers' decision …

Code smells are symptoms of poor design and implementation choices. Previous studies
empirically assessed the impact of smells on code quality and clearly indicate their negative …

Logging statements (embedded in the source code) produce logs that assist in
understanding system behavior, monitoring choke-points and debugging. Prior work …

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 …

Developers write logging statements to generate logs and record system execution
behaviors to assist in debugging and software maintenance. However, deciding where to …