fse-baro 0.0.6

BARO: Robust Root Cause Analysis for Microservices via Multivariate Bayesian Online Change Point Detection

BARO: Robust Root Cause Analysis for Microservices via Multivariate Bayesian Online Change Point Detection

In the progress of preparing the Artifact submission:

• Deadline 30/4
• https://2024.esec-fse.org/track/fse-2024-artifacts#submission-for-replicated-and-reproduced-badges
• Can apply for all three badges: Available, Function, Reusable

TODO:

• reproduce RobustScorer
• reproduce BOCPD
• make the API
• restructure + lint code
• better readme
• make a Helm chart

Installation

Build from source

git clone https://github.com/phamquiluan/baro.git && cd baro
pip install -e .

Install from PyPI

pip install fse-baro

How-to-use

from baro import BARO

m = BARO()

anomalies = m.detect_anomalies(data)
root_causes = m.rca(data, anomalies=anomalies)
print(root_causes)

Download Paper

TBD

Download Datasets

TBD

Performance comparison

TBD

Citation

@inproceedings{pham2024baro,
  title={BARO: Robust Root Cause Analysis for Microservices via Multivariate Bayesian Online Change Point Detection},
  author={Luan Pham, Huong Ha, and Hongyu Zhang},
  booktitle={Proceedings of the 32nd ACM Symposium on the Foundations of Software Engineering (FSE'24)},
  year={2024},
  organization={ACM}
}