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Abstract
Application logs record the behavior of a system during its runtime and their analysis can provide useful information. In this article, we propose a method of automated log analysis to discover interactions taking place between applications in an enterprise. We believe that such an automated approach can greatly support enterprise architects in building an up-to-date view of a governed system in a modern, fast-paced development environment. Our contribution is the following: we propose a new method for log template generation called SLT (Simple Log Template), we propose a method of extracting knowledge about application interactions from logs, and we validate the proposed methods on a real system running at Nordea Bank. Additionally, we collect statistical information about application logs from the real-life system, based on which we formulate some observations that support our method.
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Web of Science
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Authors (2)
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Łukasz Korzeniowski mgr inż.
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- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.15439/2022F172
- License
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Keywords
Details
- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Published in:
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Annals of Computer Science and Information Systems
no. 30,
pages 861 - 869,
ISSN: 2300-5963 - Title of issue:
- Proceedings of the 17th Conference on Computer Science and Intelligence Systems strony 861 - 869
- Language:
- English
- Publication year:
- 2022
- Bibliographic description:
- Goczyła K., Korzeniowski Ł.: Discovering interactions between applications with log analysis// Proceedings of the 17th Conference on Computer Science and Intelligence Systems/ : , 2022, s.861-869
- DOI:
- Digital Object Identifier (open in new tab) 10.15439/2022f172
- Sources of funding:
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- Statutory activity/subsidy
- Verified by:
- Gdańsk University of Technology
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