Software engineering: a practitioner's approach (2nd ed.)
Software engineering: a practitioner's approach (2nd ed.)
An empirical validation of software cost estimation models
Communications of the ACM
Journal of Computational Physics
Machine Learning Approaches to Estimating Software Development Effort
IEEE Transactions on Software Engineering
Software metrics (2nd ed.): a rigorous and practical approach
Software metrics (2nd ed.): a rigorous and practical approach
Function Points Analysis: An Empirical Study of Its Measurement Processes
IEEE Transactions on Software Engineering
Estimating Software Project Effort Using Analogies
IEEE Transactions on Software Engineering
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Software Engineering Economics
Software Engineering Economics
A Simulation Tool for Efficient Analogy Based Cost Estimation
Empirical Software Engineering
Software Development Cost Estimation Using Function Points
IEEE Transactions on Software Engineering
Experience With the Accuracy of Software Maintenance Task Effort Prediction Models
IEEE Transactions on Software Engineering
Modeling Software Bidding Risks
IEEE Transactions on Software Engineering
A Simulation Study of the Model Evaluation Criterion MMRE
IEEE Transactions on Software Engineering
Software effort estimation by analogy and "regression toward the mean"
Journal of Systems and Software - Special issue: Best papers on Software Engineering from the SEKE'01 Conference
Neural and Wavelet Network Models for Financial Distress Classification
Data Mining and Knowledge Discovery
The adjusted analogy-based software effort estimation based on similarity distances
Journal of Systems and Software
The Cost of Developing Large-Scale Software
IEEE Transactions on Computers
IEEE Transactions on Software Engineering
Fast learning in networks of locally-tuned processing units
Neural Computation
IEEE Transactions on Fuzzy Systems
Using wavelet network in nonparametric estimation
IEEE Transactions on Neural Networks
Expert Systems with Applications: An International Journal
Why comparative effort prediction studies may be invalid
PROMISE '09 Proceedings of the 5th International Conference on Predictor Models in Software Engineering
Web-services classification using intelligent techniques
Expert Systems with Applications: An International Journal
International Journal of Bio-Inspired Computation
Information and Software Technology
Adaptive ridge regression system for software cost estimating on multi-collinear datasets
Journal of Systems and Software
Simulating multiple class urban land-use/cover changes by RBFN-based CA model
Computers & Geosciences
Systematic literature review of machine learning based software development effort estimation models
Information and Software Technology
Empirical Software Engineering
Towards an early software estimation using log-linear regression and a multilayer perceptron model
Journal of Systems and Software
Financial Distress Prediction of Chinese-Listed Companies Based on PCA and WNNs
International Journal of Advanced Pervasive and Ubiquitous Computing
Rule extraction from DEWNN to solve classification and regression problems
SEMCCO'12 Proceedings of the Third international conference on Swarm, Evolutionary, and Memetic Computing
Radial basis function network using intuitionistic fuzzy C means for software cost estimation
International Journal of Computer Applications in Technology
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Software development has become an essential investment for many organizations. Software engineering practitioners have become more and more concerned about accurately predicting the cost and quality of software product under development. Accurate estimates are desired but no model has proved to be successful at effectively and consistently predicting software development cost. In this paper, we propose the use of wavelet neural network (WNN) to forecast the software development effort. We used two types of WNN with Morlet function and Gaussian function as transfer function and also proposed threshold acceptance training algorithm for wavelet neural network (TAWNN). The effectiveness of the WNN variants is compared with other techniques such as multilayer perceptron (MLP), radial basis function network (RBFN), multiple linear regression (MLR), dynamic evolving neuro-fuzzy inference system (DENFIS) and support vector machine (SVM) in terms of the error measure which is mean magnitude relative error (MMRE) obtained on Canadian financial (CF) dataset and IBM data processing services (IBMDPS) dataset. Based on the experiments conducted, it is observed that the WNN-Morlet for CF dataset and WNN-Gaussian for IBMDPS outperformed all the other techniques. Also, TAWNN outperformed all other techniques except WNN.