Methodology for Validating Software Metrics
IEEE Transactions on Software Engineering
Predicting Fault-Prone Software Modules in Telephone Switches
IEEE Transactions on Software Engineering
Detection of Fault-Prone Software Modules During a Spiral Life Cycle
ICSM '96 Proceedings of the 1996 International Conference on Software Maintenance
Software Metrics Model For Quality Control
METRICS '97 Proceedings of the 4th International Symposium on Software Metrics
The Predictive Validity Criterion for Evaluating Binary Classifiers
METRICS '98 Proceedings of the 5th International Symposium on Software Metrics
Software Metrics Model For Integrating Quality Control And Prediction
ISSRE '97 Proceedings of the Eighth International Symposium on Software Reliability Engineering
Predicting Fault-Prone Classes with Design Measures in Object-Oriented Systems
ISSRE '98 Proceedings of the The Ninth International Symposium on Software Reliability Engineering
Predicting the Order of Fault-Prone Modules in Legacy Software
ISSRE '98 Proceedings of the The Ninth 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
Report on Results of Discriminant Analysis Experiment
SEW '02 Proceedings of the 27th Annual NASA Goddard Software Engineering Workshop (SEW-27'02)
Investigation of the Risk to Software Reliability and Maintainability of Requirements Changes
ICSM '01 Proceedings of the IEEE International Conference on Software Maintenance (ICSM'01)
On the Repeatability of Metric Models and Metrics across Software Builds
ISSRE '00 Proceedings of the 11th International Symposium on Software Reliability Engineering
Spatial Complexity Metrics: An Investigation of Utility
IEEE Transactions on Software Engineering
Software systems reliability characteristics
ICCOMP'07 Proceedings of the 11th WSEAS International Conference on Computers
Calculation and optimization of thresholds for sets of software metrics
Empirical Software Engineering
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We develop a quality control and prediction model for improving the quality of software delivered by development to maintenance. This model identifies modules that require priority attention during development and maintenance by using Boolean discriminant functions. The model also predicts during development the quality that will be delivered to maintenance by using both point and confidence interval estimates of quality. We show that it is important to perform a marginal analysis when making a decision about how many metrics to include in a discriminant function. If many metrics are added at once, the contribution of individual metrics is obscured. Also, the marginal analysis provides an effective rule for deciding when to stop adding metrics. We also show that certain metrics are dominant in their effects on classifying quality and that additional metrics are not needed to increase the accuracy of classification. Related to this property of dominance is the property of concordance, which is the degree to which a set of metrics produces the same result in classifying software quality. A high value of concordance implies that additional metrics will not make a significant contribution to accurately classifying quality; hence, these metrics are redundant. Data from the Space Shuttle flight software are used to illustrate the model process.