Neural Networks
Object-oriented metrics that predict maintainability
Journal of Systems and Software - Special issue on object-oriented software
Object-oriented software metrics: a practical guide
Object-oriented software metrics: a practical guide
Object-oriented metrics: measures of complexity
Object-oriented metrics: measures of complexity
A Validation of Object-Oriented Design Metrics as Quality Indicators
IEEE Transactions on Software Engineering
Managerial Use of Metrics for Object-Oriented Software: An Exploratory Analysis
IEEE Transactions on Software Engineering
A Unified Framework for Coupling Measurement in Object-Oriented Systems
IEEE Transactions on Software Engineering
Polymorphism measures for early risk prediction
Proceedings of the 21st international conference on Software engineering
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
An empirical evaluation of fault-proneness models
Proceedings of the 24th International Conference on Software Engineering
A Unified Framework for Cohesion Measurement in Object-OrientedSystems
Empirical Software Engineering
A Metrics Suite for Object Oriented Design
IEEE Transactions on Software Engineering
An Application of Fuzzy Clustering to Software Quality Prediction
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
Evaluating the Impact of Object-Oriented Design on Software Quality
METRICS '96 Proceedings of the 3rd International Symposium on Software Metrics: From Measurement to Empirical Results
An Empirical Study on Object-Oriented Metrics
METRICS '99 Proceedings of the 6th International Symposium on Software Metrics
Experience from Replicating Empirical Studies on Prediction Models
METRICS '02 Proceedings of the 8th International Symposium on Software Metrics
Evolutionary Neural Networks: A Robust Approach to Software Reliability Problems
ISSRE '97 Proceedings of the Eighth International Symposium on Software Reliability Engineering
Application of Neural Networks for Software Quality Prediction Using Object-Oriented Metrics
ICSM '03 Proceedings of the International Conference on Software Maintenance
Using Multivariate Statistics (5th Edition)
Using Multivariate Statistics (5th Edition)
IEEE Transactions on Neural Networks
Modeling and optimization of stencil printing operations: A comparison study
Computers and Industrial Engineering
Software reliability prediction by soft computing techniques
Journal of Systems and Software
Information Sciences: an International Journal
Journal of Systems and Software
On the ability of complexity metrics to predict fault-prone classes in object-oriented systems
Journal of Systems and Software
Cost-sensitive boosting neural networks for software defect prediction
Expert Systems with Applications: An International Journal
Amulti-instance model for software quality estimation in OO systems
ICNC'09 Proceedings of the 5th international conference on Natural computation
Practical development of an Eclipse-based software fault prediction tool using Naive Bayes algorithm
Expert Systems with Applications: An International Journal
Software fault prediction for object oriented systems: a literature review
ACM SIGSOFT Software Engineering Notes
Classification of Arrhythmia Using Hybrid Networks
Journal of Medical Systems
Transfer learning for cross-company software defect prediction
Information and Software Technology
An in-depth study of the potentially confounding effect of class size in fault prediction
ACM Transactions on Software Engineering and Methodology (TOSEM)
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 introduces two neural network based software fault prediction models using Object-Oriented metrics. They are empirically validated using a data set collected from the software modules developed by the graduate students of our academic institution. The results are compared with two statistical models using five quality attributes and found that neural networks do better. Among the two neural networks, Probabilistic Neural Networks outperform in predicting the fault proneness of the Object-Oriented modules developed.