Seer: A Lightweight Online Failure Prediction Approach-Reference-Cited by-同舟云学术

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Seer: A Lightweight Online Failure Prediction Approach

Published:2016-01-01 Issue:1 Volume:42 Page:26-46
ISSN:0098-5589
Container-title:IEEE Transactions on Software Engineering
language:
Short-container-title:IIEEE Trans. Software Eng.

Author:

Ozcelik Burcu,Yilmaz Cemal

Funder

Marie Curie International Reintegration

European Community Framework Programme

Scientific and Technological Research Council of Turkey

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Software

Link

http://xplorestaging.ieee.org/ielx7/32/7374785/7120143.pdf?arnumber=7120143

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predicting Failures of Autoscaling Distributed Applications;Proceedings of the ACM on Software Engineering;2024-07-12

2. Using Page Offsets for Detecting Control-Flow Anomalies;Lecture Notes in Computer Science;2024

3. Prevent: An Unsupervised Approach to Predict Software Failures in Production;IEEE Transactions on Software Engineering;2023-12

4. Strategies and software support for the management of hardware performance counters;Software: Practice and Experience;2023-07-17

5. Predictive Models in Software Engineering: Challenges and Opportunities;ACM Transactions on Software Engineering and Methodology;2022-04-09

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