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| ASCII Text | x | ||
| John C. Munson, Taghi M. Khoshgoftaar, "Measuring Dynamic Program Complexity," IEEE Software, vol. 9, no. 6, pp. 48-55, November/December, 1992. | |||
| BibTex | x | ||
| @article{ 10.1109/52.168858, author = {John C. Munson and Taghi M. Khoshgoftaar}, title = {Measuring Dynamic Program Complexity}, journal ={IEEE Software}, volume = {9}, number = {6}, issn = {0740-7459}, year = {1992}, pages = {48-55}, doi = {http://doi.ieeecomputersociety.org/10.1109/52.168858}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - IEEE Software TI - Measuring Dynamic Program Complexity IS - 6 SN - 0740-7459 SP48 EP55 EPD - 48-55 A1 - John C. Munson, A1 - Taghi M. Khoshgoftaar, PY - 1992 KW - program performance prediction; program reliability; dynamic program complexity; relative complexity; complexity metrics; computer program; linear compound metric; functional complexity; computational complexity; programming theory VL - 9 JA - IEEE Software ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/52.168858
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.
Index Terms:
program performance prediction; program reliability; dynamic program complexity; relative complexity; complexity metrics; computer program; linear compound metric; functional complexity; computational complexity; programming theory
Citation:
John C. Munson, Taghi M. Khoshgoftaar, "Measuring Dynamic Program Complexity," IEEE Software, vol. 9, no. 6, pp. 48-55, Nov.-Dec. 1992, doi:10.1109/52.168858
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