Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Prediction of Software Reliability Using Connectionist Models
IEEE Transactions on Software Engineering
Journal of Systems and Software
Handbook of software reliability engineering
Handbook of software reliability engineering
Measurement-based analysis of software reliability
Handbook of software reliability engineering
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Self-Organizing Methods in Modeling: Gmdh Type Algorithms
Self-Organizing Methods in Modeling: Gmdh Type Algorithms
On the neural network approach in software reliability modeling
Journal of Systems and Software
Software Reliability Engineered Testing
Software Reliability Engineered Testing
Neural Networks in Chemistry and Drug Design
Neural Networks in Chemistry and Drug Design
Optimal software release scheduling based on artificial neural networks
Annals of Software Engineering
Computational Statistics & Data Analysis - Nonlinear methods and data mining
On-line prediction of software reliability using an evolutionary connectionist model
Journal of Systems and Software
Software reliability forecasting by support vector machines with simulated annealing algorithms
Journal of Systems and Software
Journal of Systems and Software
Software Reliability Prediction Using Wavelet Neural Networks
ICCIMA '07 Proceedings of the International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007) - Volume 01
Software reliability prediction by soft computing techniques
Journal of Systems and Software
Software Reliability Prediction Using Group Method of Data Handling
RSFDGrC '09 Proceedings of the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
A Field Guide to Genetic Programming
A Field Guide to Genetic Programming
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Neural Networks
A general regression neural network
IEEE Transactions on Neural Networks
International Journal of Intelligent Systems Technologies and Applications
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In this paper, the authors employed machine learning techniques, specifically, Back propagation trained neural network (BPNN), Group method of data handling (GMDH), Counter propagation neural network (CPNN), Dynamic evolving neuro-fuzzy inference system (DENFIS), Genetic Programming (GP), TreeNet, statistical multiple linear regression (MLR), and multivariate adaptive regression splines (MARS), to accurately forecast software reliability. Their effectiveness is demonstrated on three datasets taken from literature, where performance is compared in terms of normalized root mean square error (NRMSE) obtained in the test set. From rigorous experiments conducted, it was observed that GP outperformed all techniques in all datasets, with GMDH coming a close second.