Journal of Computational Physics
Prediction of Software Reliability Using Connectionist Models
IEEE Transactions on Software Engineering
Machine Learning
Hybrid Classifiers for Financial Multicriteria Decision Making: TheCase of Bankruptcy Prediction
Computational Economics
Ensembling neural networks: many could be better than all
Artificial Intelligence
Computational Statistics & Data Analysis - Nonlinear methods and data mining
Software failure prediction based on a Markov Bayesian network model
Journal of Systems and Software
A novel nonlinear ensemble forecasting model incorporating GLAR and ANN for foreign exchange rates
Computers and Operations Research
International Journal of Intelligent Systems - Introduction to Software Engineering with Computational Intelligence
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
Object-oriented software fault prediction using neural networks
Information and Software Technology
IEEE Transactions on Fuzzy Systems
Parallel consensual neural networks
IEEE Transactions on Neural Networks
A general regression neural network
IEEE Transactions on Neural Networks
Improved estimation of software project effort using multiple additive regression trees
Expert Systems with Applications: An International Journal
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
Web-services classification using intelligent techniques
Expert Systems with Applications: An International Journal
Application of feed-forward neural networks for software reliability prediction
ACM SIGSOFT Software Engineering Notes
Assessment of software testing time using soft computing techniques
ACM SIGSOFT Software Engineering Notes
Hybrid intelligent systems for predicting software reliability
Applied Soft Computing
Application of Machine Learning Techniques to Predict Software Reliability
International Journal of Applied Evolutionary Computation
A study on software reliability prediction models using soft computing techniques
International Journal of Information and Communication Technology
An approach to software reliability prediction based on time series modeling
Journal of Systems and Software
An ensemble of computational intelligence models for software maintenance effort prediction
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I
Modeling optimal release policy under fuzzy paradigm in imperfect debugging environment
Information and Software Technology
International Journal of Intelligent Systems Technologies and Applications
A survey of computational intelligence approaches for software reliability prediction
ACM SIGSOFT Software Engineering Notes
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In this paper, ensemble models are developed to accurately forecast software reliability. Various statistical (multiple linear regression and multivariate adaptive regression splines) and intelligent techniques (backpropagation trained neural network, dynamic evolving neuro-fuzzy inference system and TreeNet) constitute the ensembles presented. Three linear ensembles and one non-linear ensemble are designed and tested. Based on the experiments performed on the software reliability data obtained from literature, it is observed that the non-linear ensemble outperformed all the other ensembles and also the constituent statistical and intelligent techniques.