Assess and Summarize: Improve Outage Understanding with Large Language Models

Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang 0006, Liqun Li, Yudong Liu, Bo Qiao 0001, Chaoyun Zhang, Pu Zhao 0004, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang 0001. Assess and Summarize: Improve Outage Understanding with Large Language Models. In Satish Chandra 0001, Kelly Blincoe, Paolo Tonella, editors, Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC/FSE 2023, San Francisco, CA, USA, December 3-9, 2023. pages 1657-1668, ACM, 2023. [doi]

@inproceedings{JinZML0LL0Z0HSD23,
  title = {Assess and Summarize: Improve Outage Understanding with Large Language Models},
  author = {Pengxiang Jin and Shenglin Zhang and Minghua Ma and Haozhe Li and Yu Kang 0006 and Liqun Li and Yudong Liu and Bo Qiao 0001 and Chaoyun Zhang and Pu Zhao 0004 and Shilin He and Federica Sarro and Yingnong Dang and Saravan Rajmohan and Qingwei Lin and Dongmei Zhang 0001},
  year = {2023},
  doi = {10.1145/3611643.3613891},
  url = {https://doi.org/10.1145/3611643.3613891},
  researchr = {https://researchr.org/publication/JinZML0LL0Z0HSD23},
  cites = {0},
  citedby = {0},
  pages = {1657-1668},
  booktitle = {Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC/FSE 2023, San Francisco, CA, USA, December 3-9, 2023},
  editor = {Satish Chandra 0001 and Kelly Blincoe and Paolo Tonella},
  publisher = {ACM},
}