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

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14 Citations (Scopus)
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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.
Original languageEnglish
Title of host publication2019 IEEE/ACM 16th International Conference on Mining Software Repositories (MSR)
Subtitle of host publicationProceedings
PublisherIEEE
Pages545-549
Number of pages5
ISBN (Electronic) 978-1-7281-3412-3
ISBN (Print)978-1-7281-3370-6
DOIs
Publication statusPublished - 2019
Event16th International Conference on Mining Software Repositories - Montreal, Canada
Duration: 26 May 201927 May 2019

Conference

Conference16th International Conference on Mining Software Repositories
Abbreviated titleMSR 2019
Country/TerritoryCanada
CityMontreal
Period26/05/1927/05/19

Keywords

  • software engineering
  • runtime monitoring
  • log parsing

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