ヒト免疫システムを模倣したWeb3.0時代におけるクラウド・エッジ自動修復基盤の構築
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1.Noise Analysis for OSS Stochastic Differential Equation Model as Training Data of Deep Learning
- 关键词：
- Big data;Data reliability;Deep learning;Differential equations;Random processes;Reliability analysis;Software reliability;Stochastic models;Stochastic systems;Big fault data;Deep learning;Fault data;Noise analyse;Open-source softwares;Reliability assessments;Sensitivity analyzes;Stochastic differential equation models;Training data;Wiener process
- Tamura, Yoshinobu;Miyamoto, Shoichiro;Yamada, Shigeru;Yasui, Takumi;Zhou, Lei
- 《1st International Conference on Consumer Technology, ICCT-Pacific 2025》
- 2025年
- March 29, 2025 - March 31, 2025
- Matsue, Japan
- 会议
We focus on the noise analysis by using stochastic differential equation model as training data of deep learning. Then, we use the solution process of stochastic differential equation for the software fault analysis to the training data. Also, several numerical examples are shown in this paper. Moreover, this paper shows several sensitivity analyses for the actual big fault data. © 2025 IEEE.
...2.OSS Fault Removal System Based on Deep Learning Inspired by Immune System
- 关键词：
- ;Bug tracking system;Deep learning;Fault big data;Fault removal;Human bodies;Open-source softwares;Pathogenic microorganisms;Removal systems;Software fault;Source codes
- Tamura, Yoshinobu;Miyamoto, Shoichiro;Anand, Adarsh;Takeda, Haruki;Zhou, Lei;Kapur, Pramod Kumar;Heima, Souta;Yamada, Shigeru
- 《9th IEEE/ACIS International Conference on Big Data, Cloud Computing, and Data Science, BCD 2024》
- 2024年
- July 16, 2024 - July 18, 2024
- Kitakyushu, Japan
- 会议
This paper focuses on the reliability of open source software (OSS). In particular, the proposed method is based on the deep learning by using the fault big data obtained from the bug tracking system. The immune system of human body takes on the role of the protection for the pathogenic microorganisms. Recently, the source code and complexity of OSS system become large year by year. Then, we assume that the OSS fault removal system is similar to the pathogenic microorganisms. We propose the OSS fault removal system based on deep learning inspired by immune system in this paper. © 2024 IEEE.
...3.Deep Learning Approach for OSS Reliability Assessment Considering Fault Modification
- 关键词：
- Big data;Deep learning;Fault detection;Learning systems;Open systems;Reliability analysis;Software reliability;Software testing;Deep learning;Fault modification;Faults detection;Learning approach;Maintenance efforts;Open-source softwares;Software fault;Software reliability assessment;Software reliability growth models;Testing effort
- Tamura, Yoshinobu;Yamada, Shigeru
- 《28th ISSAT International Conference on Reliability and Quality in Design, RQD 2023》
- 2023年
- August 3, 2023 - August 5, 2023
- San Francisco, CA, United states
- 会议
This paper focuses on the fault big data of open source software (OSS). The fault detection phenomenon depends on the maintenance effort, because the number of software fault is influenced by the effort expenditure. Actually, the software reliability growth models with testing-effort have been proposed in the past. In this paper, we apply the deep learning approach to the OSS fault big data. Then, we show several reliability assessment measures based on the deep learning. Moreover, several numerical illustrations based on the proposed deep learning model are shown in this paper. © RQD 2023. All rights reserved.All right reserved.
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