XAI for Maintainability Prediction of Software-Defined Networks-Reference-Cited by-同舟云学术

XAI for Maintainability Prediction of Software-Defined Networks

Published:2023-01-04 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 24th International Conference on Distributed Computing and Networking
language:
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Author:

Yenduri Gokul¹^ORCID,Gadekallu Thippa Reddy²^ORCID

Affiliation:

1. School of Information Technology and Engineering, Vellore Institute of Technology, India

2. School of Information Technology and Engineering, Vellore Institute of Technology, India and Department of Electrical and Computer Engineering, Lebanese American University, Lebanon

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3571306.3571443

Reference16 articles.

1. Optimal 5G network slicing using machine learning and deep learning concepts

2. Applying the ISO/IEC 25010 Quality Models to Software Product

3. A Simulation Study on Smart Grid Resilience under Software-Defined Networking Controller Failures

4. Software maintainability prediction of open source datasets using least squares support vector machines

5. Shikha Gupta and Anuradha Chug . 2021. An Optimized Extreme Learning Machine Algorithm for Improving Software Maintainability Prediction. In 2021 11th International Conference on Cloud Computing , Data Science & Engineering (Confluence) . IEEE , 829–836. Shikha Gupta and Anuradha Chug. 2021. An Optimized Extreme Learning Machine Algorithm for Improving Software Maintainability Prediction. In 2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence). IEEE, 829–836.

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