  Logging is a significant programming practice. Due to the highly
transactional nature of modern software applications, massive amount of logs
are generated every day, which may overwhelm developers. Logging information
overload can be dangerous to software applications. Using log levels,
developers can print the useful information while hiding the verbose logs
during software runtime. As software evolves, the log levels of logging
statements associated with the surrounding software feature implementation may
also need to be altered. Maintaining log levels necessitates a significant
amount of manual effort. In this paper, we demonstrate an automated approach
that can rejuvenate feature log levels by matching the interest level of
developers in the surrounding features. The approach is implemented as an
open-source Eclipse plugin, using two external plug-ins (JGit and Mylyn). It
was tested on 18 open-source Java projects consisting of ~3 million lines of
code and ~4K log statements. Our tool successfully analyzes 99.22% of logging
statements, increases log level distributions by ~20%, and increases the focus
of logs in bug fix contexts ~83% of the time. For further details, interested
readers can watch our demonstration video
(https://www.youtube.com/watch?v=qIULoAXoDv4).
