Proceedings of the 2017 Global Conference on Mechanics and Civil Engineering (GCMCE 2017)

A Software Reliability Prediction Algorithm Based on MHPSO - BP Neural Network

Authors
Dong Xu, Shaopei Ji, Yulong Meng, Ziying Zhang
Corresponding Author
Dong Xu
Available Online June 2017.
DOI
https://doi.org/10.2991/gcmce-17.2017.10How to use a DOI?
Keywords
Software reliability prediction, Attractor, MHPSO, BP neural network.
Abstract
Because the weights and thresholds of BP neural network usually adopt random assignment, there is a problem of low accuracy in software reliability prediction. In order to solve this problem, a software reliability prediction algorithm (MHPSO-BP) based on multi-layer heterogeneous PSO optimized BP neural network is proposed in this paper. In this algorithm, the population structure of the particle swarm is set to the hierarchical structure, and the velocity updating equation of the particle is improved by using the attractor. The information interaction between the particles is enhanced, and the optimization performance of the particle swarm optimization algorithm is improved. And then use the improved PSO to optimize the weight and threshold of the BP neural network. The software reliability prediction experiment was performed using the JM1 software defect data set of the NASA-MDP project during the experiment. The results show that the proposed method has better predictive performance than the traditional BP neural network.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2017 Global Conference on Mechanics and Civil Engineering (GCMCE 2017)
Part of series
Advances in Engineering Research
Publication Date
June 2017
ISBN
978-94-6252-383-8
ISSN
2352-5401
DOI
https://doi.org/10.2991/gcmce-17.2017.10How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Dong Xu
AU  - Shaopei Ji
AU  - Yulong Meng
AU  - Ziying Zhang
PY  - 2017/06
DA  - 2017/06
TI  - A Software Reliability Prediction Algorithm Based on MHPSO - BP Neural Network
BT  - 2017 Global Conference on Mechanics and Civil Engineering (GCMCE 2017)
PB  - Atlantis Press
SP  - 47
EP  - 53
SN  - 2352-5401
UR  - https://doi.org/10.2991/gcmce-17.2017.10
DO  - https://doi.org/10.2991/gcmce-17.2017.10
ID  - Xu2017/06
ER  -