Neuro-genetic approach on logistic model based software reliability prediction

作者：

Highlights：

• We propose ANN based logistic growth curve model (LGCM) of software reliability.

• We propose neuro-genetic approach for ANN based LGCM by optimizing ANN using GA.

• Proposed model is compared with NHPP and ANN based software reliability models.

• ANN based LGCM has better fitting and predictive capability than other models.

• If GA is applied to train ANN based LGCM, it will give upmost prediction accuracy.

摘要

•We propose ANN based logistic growth curve model (LGCM) of software reliability.•We propose neuro-genetic approach for ANN based LGCM by optimizing ANN using GA.•Proposed model is compared with NHPP and ANN based software reliability models.•ANN based LGCM has better fitting and predictive capability than other models.•If GA is applied to train ANN based LGCM, it will give upmost prediction accuracy.

论文关键词：Artificial neural network,Genetic algorithm,Back-propagation algorithm,Logistic growth curve model,Software reliability,Prediction

论文评审过程：Available online 4 February 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.01.043