Tracing Back Log Data to its Log Statement: From Research to Practice

Schipper, Daan; Aniche, Maurício; van Deursen, A.

doi:10.1109/MSR.2019.00081

Tracing Back Log Data to its Log Statement

Title

Tracing Back Log Data to its Log Statement: From Research to Practice

Author

Schipper, Daan (Adyen B.V.)
Aniche, Maurício (TU Delft Software Engineering)
van Deursen, A. (TU Delft Software Technology)

Department

Software Technology

Date

2019

Abstract

Logs are widely used as a source of information to understand the activity of computer systems and to monitor their health and stability. However, most log analysis techniques require the link between the log messages in the raw log file and the log statements in the source code that produce them. Several solutions have been proposed to solve this non-trivial challenge, of which the approach based on static analysis reaches the highest accuracy. We, at Adyen, implemented the state-of-the-art research on log parsing in our logging environment and evaluated their accuracy and performance. Our results show that, with some adaptation, the current static analysis techniques are highly efficient and performant. In other words, ready for use.

Subject

software engineering
runtime monitoring
log parsing

To reference this document use:

http://resolver.tudelft.nl/uuid:9fc4a63c-57bf-4a80-aca2-48f5a8fb08a3

DOI

https://doi.org/10.1109/MSR.2019.00081

Publisher

IEEE

ISBN

978-1-7281-3370-6

Source

2019 IEEE/ACM 16th International Conference on Mining Software Repositories (MSR): Proceedings