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A New Method on Software Reliability Prediction

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  • Zhang Xiaonan
  • Yang Junfeng
  • Du Siliang
  • Huang Shudong

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.

Suggested Citation

  • Zhang Xiaonan & Yang Junfeng & Du Siliang & Huang Shudong, 2013. "A New Method on Software Reliability Prediction," Mathematical Problems in Engineering, Hindawi, vol. 2013, pages 1-8, March.
    • Handle: RePEc:hin:jnlmpe:385372
    DOI: 10.1155/2013/385372
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