Identifying bad software changes via multimodal anomaly detection for online service systems

Nengwen Zhao, Junjie Chen 0003, Zhaoyang Yu, Honglin Wang, Jiesong Li, Bin Qiu, Hongyu Xu, Wenchi Zhang, Kaixin Sui, Dan Pei. Identifying bad software changes via multimodal anomaly detection for online service systems. In Diomidis Spinellis, Georgios Gousios, Marsha Chechik, Massimiliano Di Penta, editors, ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Athens, Greece, August 23-28, 2021. pages 527-539, ACM, 2021. [doi]

@inproceedings{Zhao0YWLQXZSP21,
  title = {Identifying bad software changes via multimodal anomaly detection for online service systems},
  author = {Nengwen Zhao and Junjie Chen 0003 and Zhaoyang Yu and Honglin Wang and Jiesong Li and Bin Qiu and Hongyu Xu and Wenchi Zhang and Kaixin Sui and Dan Pei},
  year = {2021},
  doi = {10.1145/3468264.3468543},
  url = {https://doi.org/10.1145/3468264.3468543},
  researchr = {https://researchr.org/publication/Zhao0YWLQXZSP21},
  cites = {0},
  citedby = {0},
  pages = {527-539},
  booktitle = {ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Athens, Greece, August 23-28, 2021},
  editor = {Diomidis Spinellis and Georgios Gousios and Marsha Chechik and Massimiliano Di Penta},
  publisher = {ACM},
  isbn = {978-1-4503-8562-6},
}