Predicting Software Quality by Optimized BP Network Based on PSO

  title={Predicting Software Quality by Optimized BP Network Based on PSO},
  author={Kewen Li and Jisong Kou and Lina Gong},
The prediction model of software quality is the key technology in the software quality evaluation system, which can be used to evaluate software quality characteristics that users care about. Prediction models are often used to find the nonlinear relationship between metric data and quality factors. The paper predicted the relationship between metric data and quality factors with historical data by using the optimized BP network based on PSO. According to the algorithm, 28 groups of data are… CONTINUE READING


Publications referenced by this paper.
Showing 1-10 of 29 references

Analyse and Design on C&K Object-Oriented Software Metrics Suit

  • ZHANG Jin, HU Ping
  • Microprocessors,
  • 2008
1 Excerpt

Study of fermentation process based on PSO-BPNN[J

  • Computers and Applied Chemistry,
  • 2007
1 Excerpt

Evaluation of vatious training algorithms in a neutral network model for software engineering applications

  • K.K.Aggarwal, Yogesh Singh, Pravin Chandra, Manimala Puri
  • ACM sigsoft softwrare engineering notes,
  • 2005
1 Excerpt

Neural Network Training Algorithm Based on Particle Swarm Optimization[J

  • LIU Hong-bo, WANG Xiu-kun, MENG Jun
  • Mini-micro Systems,
  • 2005
1 Excerpt

Realization and Analysis of Software Reliability Based on Neural Networks

  • Yu Lijun
  • Computer and Operations research
  • 2005

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