Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Learning as optimization: stochastic generation of multiple knowledge
ML92 Proceedings of the ninth international workshop on Machine learning
Prediction of Software Reliability Using Connectionist Models
IEEE Transactions on Software Engineering
Journal of Systems and Software
Machine Learning
Handbook of software reliability engineering
Handbook of software reliability engineering
Measurement-based analysis of software reliability
Handbook of software reliability engineering
Hybrid Classifiers for Financial Multicriteria Decision Making: TheCase of Bankruptcy Prediction
Computational Economics
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
Ensembling neural networks: many could be better than all
Artificial Intelligence
Optimal software release scheduling based on artificial neural networks
Annals of Software Engineering
Computational Statistics & Data Analysis - Nonlinear methods and data mining
Combining Multiple Models with Meta Decision Trees
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Application of neural networks for software quality prediction using object-oriented metrics
Journal of Systems and Software
A novel nonlinear ensemble forecasting model incorporating GLAR and ANN for foreign exchange rates
Computers and Operations Research
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
Parallel consensual neural networks
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
A general regression neural network
IEEE Transactions on Neural Networks
A survey of computational intelligence approaches for software reliability prediction
ACM SIGSOFT Software Engineering Notes
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In this paper, we propose novel recurrent architectures for Genetic Programming (GP) and Group Method of Data Handling (GMDH) to predict software reliability. The effectiveness of the models is compared with that of well-known machine learning techniques viz. Multiple Linear Regression (MLR), Multivariate Adaptive Regression Splines (MARS), Backpropagation Neural Network (BPNN), Counter Propagation Neural Network (CPNN), Dynamic Evolving Neuro-Fuzzy Inference System (DENFIS), TreeNet, GMDH and GP on three datasets taken from literature. Further, we extended our research by developing GP and GMDH based ensemble models to predict software reliability. In the ensemble models, we considered GP and GMDH as constituent models and chose GP, GMDH, BPNN and Average as arbitrators. The results obtained from our experiments indicate that the new recurrent architecture for GP and the ensemble based on GP outperformed all other techniques.