Software metrics and software maintenance
Journal of Software Maintenance: Research and Practice
A Graph Model for Software Evolution
IEEE Transactions on Software Engineering
The Detection of Fault-Prone Programs
IEEE Transactions on Software Engineering
Measurement of data structure complexity
Journal of Systems and Software - Special issue on the Oregon Metric Workshop
A software metric set for program maintenance management
Journal of Systems and Software - Special issue of the best papers from the Oregon Workshop on Software Metrics, 1993
Software Complexity: Measures and Methods
Software Complexity: Measures and Methods
Elements of Software Science (Operating and programming systems series)
Elements of Software Science (Operating and programming systems series)
IEEE Transactions on Software Engineering
Software Evolution and the Code Fault Introduction Process
Empirical Software Engineering
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)
Software Metrics Model For Integrating Quality Control And Prediction
ISSRE '97 Proceedings of the Eighth International Symposium on Software Reliability Engineering
Journal of Systems and Software
A complexity reliability model
ISSRE'09 Proceedings of the 20th IEEE international conference on software reliability engineering
Assessing reliability risk using fault correction profiles
HASE'04 Proceedings of the Eighth IEEE international conference on High assurance systems engineering
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Explores problems in the measurement of evolving software systems. As these systems change through successive builds, the complexity characteristics of the individual modules that make up the system also change. A methodology is presented that extends the notion of software complexity domains across sequential builds. Changes to software systems are then measured on these attribute domains to provide leading indicators of potential problems introduced by the changes. Also, the notion of establishing a measurement baseline is presented. This permits the comparison of a sequence of successive software builds with one another. A specific software measurement example is presented using measurement data from the Space Shuttle Primary Avionics Software System.