Identifying Error-Prone Software An Empirical Study
IEEE Transactions on Software Engineering
Software reliability: measurement, prediction, application
Software reliability: measurement, prediction, application
Software metrics: establishing a company-wide program
Software metrics: establishing a company-wide program
An Analysis of Several Software Defect Models
IEEE Transactions on Software Engineering
Regression modelling of software quality: empirical investigation
Journal of Electronic Materials
Estimating software fault content before coding
ICSE '92 Proceedings of the 14th international conference on Software engineering
A Validation of Object-Oriented Design Metrics as Quality Indicators
IEEE Transactions on Software Engineering
Software metrics (2nd ed.): a rigorous and practical approach
Software metrics (2nd ed.): a rigorous and practical approach
Predicting Fault-Prone Software Modules in Telephone Switches
IEEE Transactions on Software Engineering
Predicting Fault Incidence Using Software Change History
IEEE Transactions on Software Engineering
Models and Measurements for Quality Assessment of Software
ACM Computing Surveys (CSUR)
Goal-oriented software assessment
Proceedings of the 24th International Conference on Software Engineering
Understanding and predicting effort in software projects
Proceedings of the 25th International Conference on Software Engineering
Discovering relationships between service and customer satisfaction
ICSM '95 Proceedings of the International Conference on Software Maintenance
Predictors of customer perceived software quality
Proceedings of the 27th international conference on Software engineering
IEEE Transactions on Software Engineering
An Analysis of Competing Software Reliability Models
IEEE Transactions on Software Engineering
IEEE Transactions on Software Engineering
An Experiment in Software Error Data Collection and Analysis
IEEE Transactions on Software Engineering
Succession: Measuring transfer of code and developer productivity
ICSE '09 Proceedings of the 31st International Conference on Software Engineering
Assessing the state of software in a large enterprise
Empirical Software Engineering
Organizational volatility and its effects on software defects
Proceedings of the eighteenth ACM SIGSOFT international symposium on Foundations of software engineering
International Journal of Business Information Systems
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We investigate relationships among software quality measures commonly used to assess the value of a technology, and several aspects of customer perceived quality measured by Interval Quality (IQ): a novel measure of the probability that a customer will observe a failure within a certain interval after software release. We integrate information from development and customer support systems to compare defect density measures and IQ for six releases of a major telecommunications system. We find a surprising negative relationship between the traditional defect density and IQ. The four years of use in several large telecommunication products demonstrates how a software organization can control customer perceived quality not just during development and verification, but also during deployment by changing the release rate strategy and by increasing the resources to correct field problems rapidly. Such adaptive behavior can compensate for the variations in defect density between major and minor releases.