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Issue No. 06 - November/December (1992 vol. 9)
ISSN: 0740-7459
pp: 48-55
<p>A relative complexity technique that combines the features of many complexity metrics to predict performance and reliability of a computer program is presented. Relative complexity aggregates many similar metrics into a linear compound metric that describes a program. Since relative complexity is a static measure, it is expanded by measuring relative complexity over time to find a program's functional complexity. It is shown that relative complexity gives feedback on the same complexity domains that many other metrics do. Thus, developers can save time by choosing one metric to do the work of many.</p>
program performance prediction; program reliability; dynamic program complexity; relative complexity; complexity metrics; computer program; linear compound metric; functional complexity; computational complexity; programming theory
Taghi M. Khoshgoftaar, John C. Munson, "Measuring Dynamic Program Complexity", IEEE Software, vol. 9, no. , pp. 48-55, November/December 1992, doi:10.1109/52.168858
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