Performance assessment based on stochastic differential equation and effort data for edge computing

Author:

Tamura Yoshinobu1ORCID,Yamada Shigeru2

Affiliation:

1. Tokyo City University Tamazutsumi 1‐28‐1, Setagaya‐ku Tokyo 158‐8557 Japan

2. Tottori University Minami 4‐101, Koyama Tottori‐shi 680‐8552 Japan

Funder

Japan Society for the Promotion of Science

Publisher

Wiley

Subject

Safety, Risk, Reliability and Quality,Software

Cited by 7 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. Stochastic software reliability growth modelling with fault introduction and change point;International Journal of System Assurance Engineering and Management;2024-07-02

2. OSS reliability assessment method based on deep learning and independent Wiener data preprocessing;International Journal of System Assurance Engineering and Management;2024-03-21

3. Software Technology Management Under Stochastic Environment;Risk, Reliability and Safety Engineering;2024

4. Deep Learning Based on Fine Tuning with Application to the Reliability Assessment of Similar Open Source Software;International Journal of Mathematical, Engineering and Management Sciences;2023-08-01

5. Stochastic debugging based reliability growth models for Open Source Software project;Annals of Operations Research;2023-02-28

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