A method of multidimensional software aging prediction based on ensemble learning: A case of Android OS-Reference-Cited by-同舟云学术

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A method of multidimensional software aging prediction based on ensemble learning: A case of Android OS

Published:2024-06 Issue: Volume:170 Page:107422
ISSN:0950-5849
Container-title:Information and Software Technology
language:en
Short-container-title:Information and Software Technology

Author:

Nie Yuge^ORCID,Chen Yulei^ORCID,Jiang Yujia,Wu Huayao,Yin Beibei,Cai Kai-Yuan

Funder

National Key Research and Development Program of China

Publisher

Elsevier BV

Reference66 articles.

1. The fundamentals of software aging;Grottke,2008

2. Gartner Top 10 Strategic Technology Trends for 2023;Groombridge,2023

3. To keep a boeing dreamliner flying, reboot once every 248 days;Alvarez;Engadget,2015

4. A comprehensive study on software aging across Android versions and vendors;Cotroneo;Empir. Softw. Eng.,2020

5. Software rejuvenation: Key concepts and granularity;Koutras,2020

Cited by 1 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. PMTT: Parallel multi-scale temporal convolution network and transformer for predicting the time to aging failure of software systems;Journal of Systems and Software;2024-11

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