Fault Diagnosis for Test Alarms in Microservices through Multi-source Data-Reference-Cited by-同舟云学术

Fault Diagnosis for Test Alarms in Microservices through Multi-source Data

Published:2024-07-10 Issue: Volume:32 Page:115-125
ISSN:
Container-title:Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering
language:
Short-container-title:

Author:

Zhang Shenglin¹^ORCID,Zhu Jun²^ORCID,Hao Bowen²^ORCID,Sun Yongqian³^ORCID,Nie Xiaohui⁴^ORCID,Zhu Jingwen²^ORCID,Liu Xilin⁵^ORCID,Li Xiaoqian⁵^ORCID,Ma Yuchi⁵^ORCID,Pei Dan⁶^ORCID

Affiliation:

1. Nankai University, Tianjin, China / Haihe Laboratory of Information Technology Application Innovation, Tianjin, China

2. Nankai University, Tianjin, China

3. Nankai University, Tianjin, China / Tianjin Key Laboratory of Software Experience and Human Computer Interaction, Tianjin, China

4. Computer Network Information Center at Chinese Academy of Sciences, Beijing, China

5. Huawei Technologies, Shenzhen, China

6. Tsinghua University, Beijing, China / BNRist, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3663529.3663833

Reference53 articles.

1. Nuha Alshuqayran, Nour Ali, and Roger Evans. 2016. A systematic mapping study in microservice architecture. In 2016 IEEE 9th International Conference on Service-Oriented Computing and Applications (SOCA). 44–51.

2. Mining Historical Test Logs to Predict Bugs and Localize Faults in the Test Logs

3. Mihael Ankerst, Markus M Breunig, Hans-Peter Kriegel, and Jörg Sander. 1999. OPTICS: Ordering points to identify the clustering structure. ACM Sigmod record, 28, 2 (1999), 49–60.

4. Jonathan Bell, Owolabi Legunsen, Michael Hilton, Lamyaa Eloussi, Tifany Yung, and Darko Marinov. 2018. DeFlaker: Automatically detecting flaky tests. In Proceedings of the 40th international conference on software engineering. 433–444.

5. Exploring better black-Box test case prioritization via log analysis;Chen Zhichao;ACM Transactions on Software Engineering and Methodology,2023