Performance-Influence Model for Highly Configurable Software with Fourier Learning and Lasso Regression-Reference-Cited by-同舟云学术

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Performance-Influence Model for Highly Configurable Software with Fourier Learning and Lasso Regression

Published:2019-09 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE International Conference on Software Maintenance and Evolution (ICSME)
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Author:

Ha Huong,Zhang Hongyu

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8910135/8918933/08919029.pdf?arnumber=8919029

Cited by 20 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 Software Performance with Divide-and-Learn;Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering;2023-11-30

2. DiagConfig: Configuration Diagnosis of Performance Violations in Configurable Software Systems;Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering;2023-11-30

3. Finding Near-optimal Configurations in Colossal Spaces with Statistical Guarantees;ACM Transactions on Software Engineering and Methodology;2023-11-23

4. CoMSA: A Modeling-Driven Sampling Approach for Configuration Performance Testing;2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE);2023-09-11

5. CaRE: Finding Root Causes of Configuration Issues in Highly-Configurable Robots;IEEE Robotics and Automation Letters;2023-07

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