Learning from Examples: Generation and Evaluation of Decision Trees for Software Resource Analysis
IEEE Transactions on Software Engineering - Special Issue on Artificial Intelligence in Software Applications
The dimensionality of program complexity
ICSE '89 Proceedings of the 11th international conference on Software engineering
IEEE Transactions on Software Engineering - Special issue on software reliability
Selected papers of the sixth annual Oregon workshop on Software metrics
A Validation of Object-Oriented Design Metrics as Quality Indicators
IEEE Transactions on Software Engineering
A Procedure for Analyzing Unbalanced Datasets
IEEE Transactions on Software Engineering
Accuracy of software quality models over multiple releases
Annals of Software Engineering
Classification of Fault-Prone Software Modules: Prior Probabilities,Costs, and Model Evaluation
Empirical Software Engineering
Emerald: Software Metrics and Models on the Desktop
IEEE Software
Data Mining and Knowledge Discovery: Making Sense Out of Data
IEEE Expert: Intelligent Systems and Their Applications
Application of a Usage Profile in Software Quality Models
CSMR '99 Proceedings of the Third European Conference on Software Maintenance and Reengineering
Preparing Measurements of Legacy Software for Predicting Operational Faults
ICSM '99 Proceedings of the IEEE International Conference on Software Maintenance
Software Metrics Model For Integrating Quality Control And Prediction
ISSRE '97 Proceedings of the Eighth International Symposium on Software Reliability Engineering
Building Software Quality Classification Trees: Approach, Experimentation, Evaluation
ISSRE '97 Proceedings of the Eighth International Symposium on Software Reliability Engineering
Determining Fault Insertion Rates for Evolving Software Systems
ISSRE '98 Proceedings of the The Ninth International Symposium on Software Reliability Engineering
Application of multivariate analysis for software fault prediction
Software Quality Control
Uncertain Classification of Fault-Prone Software Modules
Empirical Software Engineering
Fault Prediction Modeling for Software Quality Estimation: Comparing Commonly Used Techniques
Empirical Software Engineering
Analogy-Based Practical Classification Rules for Software Quality Estimation
Empirical Software Engineering
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Software-quality classification models can predict which modules will be considered fault-prone, or not, based on software product metrics, process metrics, and execution metrics. Such predictions can be used to target improvement efforts to those modules that need it the most. Classification-tree modeling is a robust technique for building such software quality models. However, model structure maybe unstable and accuracy may suffer when predictors are highly correlated. This paper presents an empirical case study of four releases of a very large telecommunications system, which showed that the tree-based models could be improved by transforming the predictors with principal components analysis, so that transformed predictors are not correlated. The case study used the regression-tree algorithm in the S-Plus package and then applied our general decision rule to classify modules.