Tracing Back Log Data to its Log Statement

From Research to Practice

Conference Paper (2019)
Author(s)

Daan Schipper (Adyen B.V.)

Maurício Aniche (TU Delft - Software Engineering)

A. Van Van Deursen (TU Delft - Software Technology)

Research Group
Software Engineering
Copyright
© 2019 Daan Schipper, Maurício Aniche, A. van Deursen
DOI related publication
https://doi.org/10.1109/MSR.2019.00081
More Info
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Publication Year
2019
Language
English
Copyright
© 2019 Daan Schipper, Maurício Aniche, A. van Deursen
Research Group
Software Engineering
Pages (from-to)
545-549
ISBN (print)
978-1-7281-3370-6
ISBN (electronic)
978-1-7281-3412-3
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

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.

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