The programmer's workbench—a machine for software development
Communications of the ACM
Communications of the ACM
On the relationships among three software metrics
Proceedings of the 1981 ACM workshop/symposium on Measurement and evaluation of software quality
The establishment and use of measures to evaluate the quality of software designs
Proceedings of the software quality assurance workshop on Functional and performance issues
Software Structure Metrics Based on Information Flow
IEEE Transactions on Software Engineering
Identifying and characterizing change-prone classes in two large-scale open-source products
Journal of Systems and Software
Studying volatility predictors in open source software
Proceedings of the ACM-IEEE international symposium on Empirical software engineering and measurement
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We state a set of criteria that has guided the development of a metric system for measuring the quality of a largescale software product. This metric system uses the flow of information within the system as an index of system interconnectivity. Based on this observed interconnectivity, a variety of software metrics can be defined. The types of software quality features that can be measured by this approach are summarized. The data-flow analysis techniques used to establish the paths of information flow are explained and illustrated. Finally, a means of integrating various metrics and models into a comprehensive software development environment is discussed. This possible integration is explained in terms of the Gandalf system currently under development at Carnegie-Mellon University.