Software engineering metrics and models
Software engineering metrics and models
Projecting Software Defects from Analyzing Ada Designs
IEEE Transactions on Software Engineering - Special issue on software measurement principles, techniques, and environments
Analytical and empirical evaluation of software reuse metrics
Proceedings of the 18th international conference on Software engineering
How reuse influences productivity in object-oriented systems
Communications of the ACM
Software metrics (2nd ed.): a rigorous and practical approach
Software metrics (2nd ed.): a rigorous and practical approach
Statistical Thinking and Data Analysis Methods for Managers
Statistical Thinking and Data Analysis Methods for Managers
A Discipline for Software Engineering
A Discipline for Software Engineering
Elements of Software Science (Operating and programming systems series)
Elements of Software Science (Operating and programming systems series)
An Objective Reuse Metric: Model and Methology
Proceedings of the 5th European Software Engineering Conference
Software Reuse Metrics for an Industrial Project
METRICS '97 Proceedings of the 4th International Symposium on Software Metrics
The business case for software reuse
IBM Systems Journal
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In recent years, there have been several proposals for amount-of-reuse metrics. However, it is not clear if these metrics measure anything different from other software metrics that are often generally used. Besides, the relationship between these metrics is also unclear. Without a clear understanding, the true added value provided by these metrics remains unknown. In this paper, an analysis of the existing amount-of-reuse metrics is presented and a subset of these is selected, on the basis of their industrial applicability, for further investigation. These metrics are then applied to a collection of different software products to obtain an understanding of the level of correlation that exists between them and other well-known software metrics such as cyclomatic complexity, volume and lines of code. Our analysis suggests that the selected subset of amount-of-reuse metrics provides a relatively independent view of the analyzed code.