A New Method on Software Reliability Prediction

Zhang Xiaonan, Yang Junfeng, Du Siliang and Huang Shudong

Mathematical Problems in Engineering, 2013, vol. 2013, 1-8

Abstract:

As we all know, relevant data during software life cycle can be used to analyze and predict software reliability. Firstly, the major disadvantages of the current software reliability models are discussed. And then based on analyzing classic PSO-SVM model and the characteristics of software reliability prediction, some measures of the improved PSO-SVM model are proposed, and the improved model is established. Lastly, simulation results show that compared with classic models, the improved model has better prediction precision, better generalization ability, and lower dependence on the number of samples, which is more applicable for software reliability prediction.

Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:385372

DOI: 10.1155/2013/385372

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