Assess and Summarize: Improve Outage Understanding with Large Language Models-Reference-Cited by-同舟云学术

Assess and Summarize: Improve Outage Understanding with Large Language Models

Published:2023-11-30 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
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Author:

Jin Pengxiang¹,Zhang Shenglin¹,Ma Minghua²,Li Haozhe³,Kang Yu⁴,Li Liqun²,Liu Yudong²,Qiao Bo²,Zhang Chaoyun²,Zhao Pu²,He Shilin²,Sarro Federica⁵,Dang Yingnong⁶,Rajmohan Saravan⁷,Lin Qingwei²,Zhang Dongmei²

Affiliation:

1. Nankai University, Tianjin, China

2. Microsoft, Beijing, China

3. Peking University, Beijing, China

4. Microsoft, Shanghai, China

5. University College London, London, UK

6. Microsoft, Redmond, China

7. Microsoft 365, Redmond, China

Funder

Advanced Research Project of China

National Natural Science Foundation of China

Natural Science Foundation of Tianjin

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3611643.3613891

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4. An Empirical Investigation of Incident Triage for Online Service Systems

5. Continuous Incident Triage for Large-Scale Online Service Systems