Research on software reliability prediction method based on polynomial regression model

Changyin Chen; Wenli Hu

doi:10.1117/12.2629139

7 March 2022 Research on software reliability prediction method based on polynomial regression model

Changyin Chen, Wenli Hu

Proceedings Volume 12167, Third International Conference on Electronics and Communication; Network and Computer Technology (ECNCT 2021); 1216727 (2022) https://doi.org/10.1117/12.2629139
Event: 2021 Third International Conference on Electronics and Communication, Network and Computer Technology, 2021, Harbin, China

Abstract

This paper mainly analyzes the fitting and precision of software reliability growth model based on polynomial regression model. Firstly, the software reliability testing workload and software reliability modeling framework are proposed. On this basis, the deformation software workload function and modeling function are introduced into the modeling framework. A new software reliability growth model is established. At the same time, Harry uses the framework to analyze and address the core issues in the modeling process. Based on the software reliability model parameters and two groups of actual effect data, the model framework is used to establish the most suitable growth model. Thus, the reliability of software system is guaranteed, and the integration and development of software and polynomial regression model are further increased.

Citation Download Citation

Changyin Chen and Wenli Hu "Research on software reliability prediction method based on polynomial regression model", Proc. SPIE 12167, Third International Conference on Electronics and Communication; Network and Computer Technology (ECNCT 2021), 1216727 (7 March 2022); https://doi.org/10.1117/12.2629139

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