How Far Have We Come in Detecting Anomalies in Distributed Systems? An Empirical Study with a Statement-level Fault Injection Method. Yang, Y., Wu, Y., Pattabiraman, K., Wang, L., & Li, Y. In 2020 IEEE 31st International Symposium on Software Reliability Engineering (ISSRE), pages 59–69. IEEE.
bibtex   
@InProceedings{yang20how,
  author       = {Yang, Yong and Wu, Yifan and Pattabiraman, Karthik and Wang, Long and Li, Ying},
  booktitle    = {2020 IEEE 31st International Symposium on Software Reliability Engineering (ISSRE)},
  date         = {2020},
  title        = {How Far Have We Come in Detecting Anomalies in Distributed Systems? An Empirical Study with a Statement-level Fault Injection Method},
  organization = {IEEE},
  pages        = {59--69},
  comment      = {* very nice abstract
* motivation: anomaly detection in distributed systems
* inject faults to assess the anomaly detectors

  * at statement level
  * provide nice fault model

* "Limited coarse-grained failures cannot represent the diversity of
  anomalies"
* "developers should explicitly record the error messages when designing
  the error-handling mechanisms"
* experimental evaluation based on three state-of-the-art anomaly
  detection tools},
  file         = {:yang20how - How Far Have We Come in Detecting Anomalies in Distributed Systems_ An Empirical Study with a Statement-level Fault Injection Method.pdf:PDF},
  groups       = {fault injection, abstracts},
  timestamp    = {2021-03-02},
}

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