Chapter 12 Reliability assessment method based on cyclic noisy fault big data and AI for OSS
Yoshinobu Tamura, Shoichiro Miyamoto, Lei Zhou, Shigeru Yamada · 2025
Several OSS (open-source software) are used in various software systems and network services. Many OSS components and systems are embedded in the cloud and edge computing. Then, many OSS are developed by using the bug tracking systems. The database system of bug tracking system is recorded by many users and developers. In this chapter, we discuss the reliability assessment method based on the noisy fault big data and AI for OSS. Then, the Wiener stochastic process data is used in the proposed deep learning model. Moreover, several numerical examples based on the noisy fault big data in actual OSS projects are shown by using the deep learning models proposed in this chapter. Finally, we show that the proposed deep learning model is useful to assess the reliability of OSS developed under actual open-source project.