
This repository contains the replication package for the paper: "A Comparative Study on Large Language Models for Log Parsing"Merve Astekin, Max Hort, and Leon MoonenAccepted for the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM '24) The paper is deposited on arXiv, will be available at the publisher's site, and a preprint is included in this repository. The replication package is archived on Zenodo with DOI: 10.5281/zenodo.13625383. The source code is distributed under the MIT license, the data is distributed under the CC BY 4.0 license. Organization The repository is organized as follows: Data in the data folder, with a dedicated README. Archived source code in the src folder, with a dedicated README. Archived scripts in the ollama_scripts folder, with a dedicated README. Analysis of the results in the analysis folder, with a dedicated README. The file requirements.txt in the root contains the frozen requirements for the Python environment used at the time of running the experiments. Citation If you build on this data or code, please cite this work by referring to the paper: @inproceedings{astekin2024:comparative, title = {A Comparative Study on Large Language Models for Log Parsing}, author = {Merve Astekin and Max Hort and Leon Moonen}, booktitle = {Proceedings of 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM’24)}, year = {2024}, publisher = {ACM}, doi = {https://doi.org/10.1145/3674805.3686684} }
large language models, log analysis, log parsing
large language models, log analysis, log parsing
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