hrcak mascot   Srce   HID

Izvorni znanstveni članak
https://doi.org/10.2498/cit.1000794

Empirical Validation of the RCDC and RCDE Semantic Complexity Metrics for Object-Oriented Software

Phil A. Farrington
Julie L. Fortune
Cara E. Stein
Dawn Utley
Letha H. Etzkorn
Sampson E. Gholston
Glenn W. Cox

Puni tekst: engleski, pdf (513 KB) str. 151-160 preuzimanja: 467* citiraj
APA 6th Edition
A. Farrington, P., L. Fortune, J., E. Stein, C., Utley, D., H. Etzkorn, L., E. Gholston, S. i W. Cox, G. (2007). Empirical Validation of the RCDC and RCDE Semantic Complexity Metrics for Object-Oriented Software. Journal of computing and information technology, 15 (2), 151-160. https://doi.org/10.2498/cit.1000794
MLA 8th Edition
A. Farrington, Phil, et al. "Empirical Validation of the RCDC and RCDE Semantic Complexity Metrics for Object-Oriented Software." Journal of computing and information technology, vol. 15, br. 2, 2007, str. 151-160. https://doi.org/10.2498/cit.1000794. Citirano 01.03.2021.
Chicago 17th Edition
A. Farrington, Phil, Julie L. Fortune, Cara E. Stein, Dawn Utley, Letha H. Etzkorn, Sampson E. Gholston i Glenn W. Cox. "Empirical Validation of the RCDC and RCDE Semantic Complexity Metrics for Object-Oriented Software." Journal of computing and information technology 15, br. 2 (2007): 151-160. https://doi.org/10.2498/cit.1000794
Harvard
A. Farrington, P., et al. (2007). 'Empirical Validation of the RCDC and RCDE Semantic Complexity Metrics for Object-Oriented Software', Journal of computing and information technology, 15(2), str. 151-160. https://doi.org/10.2498/cit.1000794
Vancouver
A. Farrington P, L. Fortune J, E. Stein C, Utley D, H. Etzkorn L, E. Gholston S i sur. Empirical Validation of the RCDC and RCDE Semantic Complexity Metrics for Object-Oriented Software. Journal of computing and information technology [Internet]. 2007 [pristupljeno 01.03.2021.];15(2):151-160. https://doi.org/10.2498/cit.1000794
IEEE
P. A. Farrington, et al., "Empirical Validation of the RCDC and RCDE Semantic Complexity Metrics for Object-Oriented Software", Journal of computing and information technology, vol.15, br. 2, str. 151-160, 2007. [Online]. https://doi.org/10.2498/cit.1000794

Sažetak
The Relative Class Domain Complexity (RCDC) and Relative Class Definition Entropy (RCDE) semantic metrics have been proposed for use as complexity metrics for object-oriented software. These semantic metrics are calculated on a knowledge-based representation of software, following a knowledge-based program understanding examination of the software. The metrics have great potential because they can be applied during the software design phase whereas most complexity metrics cannot be applied until after development is complete. In this paper, we present the results of a study to empirically validate the RCDC and RCDE metrics. We show that the metrics compare favorably with the findings of human experts and also that they correlate well with the results of conventional complexity metrics.

Hrčak ID: 44628

URI
https://hrcak.srce.hr/44628

Posjeta: 667 *