references.bib

@InProceedings{rv2021,
author="Shin, Donghwan
and Khan, Zanis Ali
and Bianculli, Domenico
and Briand, Lionel",
editor="Feng, Lu
and Fisman, Dana",
title="A Theoretical Framework for Understanding the Relationship Between Log Parsing and Anomaly Detection",
booktitle="Runtime Verification",
year="2021",
publisher="Springer International Publishing",
address="Cham",
pages="277--287",
abstract="Log-based anomaly detection identifies systems' anomalous behaviors by analyzing system runtime information recorded in logs. While many approaches have been proposed, all of them have in common an essential pre-processing step called log parsing. This step is needed because automated log analysis requires structured input logs, whereas original logs contain semi-structured text printed by logging statements. Log parsing bridges this gap by converting the original logs into structured input logs fit for anomaly detection.",
isbn="978-3-030-88494-9"
}

@inproceedings{dawes2023towards,
  title={Towards Log Slicing},
  author={Dawes, Joshua Heneage and Shin, Donghwan and Bianculli, Domenico},
  booktitle={International Conference on Fundamental Approaches to Software Engineering},
  pages={249--259},
  year={2023},
  organization={Springer Nature Switzerland Cham}
}

@article{shin2022prins,
  title={{PRINS}: scalable model inference for component-based system logs},
  author={Shin, Donghwan and Bianculli, Domenico and Briand, Lionel},
  journal={Empirical Software Engineering},
  volume={27},
  number={4},
  pages={87},
  year={2022},
  publisher={Springer}
}