Systematic evaluation of deep learning models for log-based failure prediction

Hadadi, F. orcid.org/0009-0001-8755-3323, Dawes, J.H., Shin, D. orcid.org/0000-0002-0840-6449 et al. (2 more authors) (2024) Systematic evaluation of deep learning models for log-based failure prediction. Empirical Software Engineering, 29. 105. ISSN 1382-3256

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Item Type: Article
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© 2024 The Authors. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Keywords: Logs; Failure prediction; Deep learning; Embedding strategy; Synthesised data generation; Systematic evaluation
Dates:
  • Published: 20 June 2024
  • Published (online): 20 June 2024
  • Accepted: 17 May 2024
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 04 Jul 2024 14:49
Last Modified: 04 Jul 2024 14:49
Published Version: http://dx.doi.org/10.1007/s10664-024-10501-4
Status: Published
Publisher: Springer Science and Business Media LLC
Refereed: Yes
Identification Number: 10.1007/s10664-024-10501-4
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