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.

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.

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.