A Novel Software Reliability Assessment Approach based on Neural Network in Network Environment
Changjie Ma, Guochang Gu, Jing Ying Zhao · International Journal of Advancements in Computing Technology · 2012
In this paper, we have focused on the Fedora Core Linux operating system which is known as the OSS, and discussed the method of reliability assessment for the OSS developed under on an open source project. Especially, we have applied on the neural network in order to consider the effect of each software component on the reliability of an entire system under such open source development paradigm. By using the neural network, we have proposed the method of reliability assessment incorporating the interaction among software components. The neural network and NHPP model applied in this paper have simple structures. Therefore, we can easily apply our method to actual open source software by rote.