In this paper, we develop a non-parametric software reliability prediction system based on the neural network ensembles to improve the predictability.

Prediction of Software Reliability Using Feed Forward Neural Networks · Software Reliability Prediction Based on Radial Basis Function Neural Network · Software ...

In this paper, we propose a non-parametric software reliability prediction system based on neural network ensembles. The effects of system architecture on the ...

Neural network ensemble is proposed in this paper based on the traditional neural network algorithm and is introduced to the field of software reliability ...

Software reliability is an important factor for quantitatively characterizing software quality and estimating the duration of software testing period.

In the beginning the ensemble sizes were small and the network learned with a very few hidden units. As the ensemble size gradually in- creased the ...

Jun 26, 2018 · This report offers an ensemble technique model of different artificial neural networks for forecasting of software reliability. The ...

A neural network based software reliability model to predict the cumulative number of failures based on Feed Forward architecture is proposed in this paper.

Sep 26, 2024 · This research develops an ensemble learning technique for software reliability prediction. Ensemble methods, which are a combination of more individual ML ...

Jan 10, 2024 · The paper investigates software reliability prediction by using ensemble learning with random hyperparameter optimization. Software reliability ...