Object-oriented metrics that predict maintainability
Journal of Systems and Software - Special issue on object-oriented software
Exploring the relationship between design measures and software quality in object-oriented systems
Journal of Systems and Software
The prediction of faulty classes using object-oriented design metrics
Journal of Systems and Software
A Metrics Suite for Object Oriented Design
IEEE Transactions on Software Engineering
An Empirical Investigation of an Object-Oriented Software System
IEEE Transactions on Software Engineering
Assessing the applicability of fault-proneness models across object-oriented software projects
IEEE Transactions on Software Engineering
Predicting Fault-Proneness using OO Metrics: An Industrial Case Study
CSMR '02 Proceedings of the 6th European Conference on Software Maintenance and Reengineering
Predicting Testability of Program Modules Using a Neural Network
ASSET '00 Proceedings of the 3rd IEEE Symposium on Application-Specific Systems and Software Engineering Technology (ASSET'00)
A Study on Fault-Proneness Detection of Object-Oriented Systems
CSMR '01 Proceedings of the Fifth European Conference on Software Maintenance and Reengineering
An Empirical Study on Object-Oriented Metrics
METRICS '99 Proceedings of the 6th International Symposium on Software Metrics
Journal of Systems and Software
Predicting object-oriented software maintainability using multivariate adaptive regression splines
Journal of Systems and Software
Software defect prediction using artificial immune recognition system
SE'07 Proceedings of the 25th conference on IASTED International Multi-Conference: Software Engineering
Predicting Software Metrics at Design Time
PROFES '08 Proceedings of the 9th international conference on Product-Focused Software Process Improvement
Integrating in-process software defect prediction with association mining to discover defect pattern
Information and Software Technology
Fault-prone module prediction of a web application using artificial neural networks
SEA '07 Proceedings of the 11th IASTED International Conference on Software Engineering and Applications
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
On the ability of complexity metrics to predict fault-prone classes in object-oriented systems
Journal of Systems and Software
A symbolic fault-prediction model based on multiobjective particle swarm optimization
Journal of Systems and Software
Software development team flexibility antecedents
Journal of Systems and Software
Combining techniques for software quality classification: An integrated decision network approach
Expert Systems with Applications: An International Journal
Code churn estimation using organisational and code metrics: An experimental comparison
Information and Software Technology
Global hybrid ant bee colony algorithm for training artificial neural networks
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part I
Maintainability prediction of object-oriented software system by multilayer perceptron model
ACM SIGSOFT Software Engineering Notes
Empirical Software Engineering
Hybrid intelligent systems for predicting software reliability
Applied Soft Computing
G-HABC Algorithm for Training Artificial Neural Networks
International Journal of Applied Metaheuristic Computing
A study on software reliability prediction models using soft computing techniques
International Journal of Information and Communication Technology
International Journal of Computer Applications in Technology
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
Investigating of high and low impact faults in object-oriented projects
ACM SIGSOFT Software Engineering Notes
Applications of fuzzy integrals for predicting software fault-prone
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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This paper presents the application of neural networks in software quality estimation using object-oriented metrics. In this paper, two kinds of investigation are performed. The first on predicting the number of defects in a class and the second on predicting the number of lines changed per class. Two neural network models are used, they are Ward neural network and General Regression neural network (GRNN). Object-oriented design metrics concerning inheritance related measures, complexity measures, cohesion measures, coupling measures and memory allocation measures are used as the independent variables. GRNN network model is found to predict more accurately than Ward network model.