Article citationsMore>>

H. Singh, et al., “A Bayesian Approach to Reliability Prediction and Assessment of Component Based Systems,” Proceedings of 12th International Symposium on Software Reliability Engineering, Hong Kong, 27-30 November 2001, pp. 12-21.

has been cited by the following article:

• TITLE: Reliability Evaluation Optimal Selection Model of Component-Based System

  AUTHORS: Guo Yong, Wan Tian Tian, Ma Pei Jun, Su Xiao Hong

  KEYWORDS: Optimal Evaluation Approach, Likelihood Estimation, Reliability Evaluation, Component-Based System, Optimal Selection Model (OSM)

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.4 No.7, July 12, 2011

  ABSTRACT: If the components in a component-based software system come from different sources, the characteristics of the components may be different. Therefore, evaluating the reliability of a component-based system with a fixed model for all components will not be reasonable. To solve this problem, this paper combines a single reliability growth model with an architecture-based reliability model, and proposes an optimal selecting approach. First, the most appropriate model of each component is selected according to the historical reliability data of the component, so that the evaluation deviation is the smallest. Then, system reliability is evaluated according to both the relationships among components and the using frequency of each component. As the approach takes into account the historical data and the using frequency of each component, the evaluation and prediction results are more accurate than those of using a single model.