Towards a semantic metrics suite for object-oriented design

Etzkorn, Letha H.; Delugach, Harry S.

doi:10.1109/tools.2000.868960

Cited by 33 publications

(31 citation statements)

References 18 publications

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“…The RCDC metrics are based on the Class Domain Complexity (CDC) semantic metric defined by Etzkorn and Delugach [5].…”

Section: Mathematical Definition Of the Rcdc Metricsmentioning

confidence: 99%

“…The suggested scale for concept weighting factors ranges from 1.0 for complex concepts to 0.25 for simple concepts [5].…”

Section: Mathematical Definition Of the Rcdc Metricsmentioning

confidence: 99%

“…This metric determines, for each concept in the class, the number of other concepts that have a conceptual relation with it, and takes the weighted sum across all of the concepts in the class [5,13].…”

Section: Mathematical Definition Of the Rcdc Metricsmentioning

confidence: 99%

“…In some cases, there is value in considering the complexity of a class with respect to the complexity of the other classes in the same system. This is the goal of the Relative Class Domain Complexity (RCDC) metrics suite [5].…”

Section: Mathematical Definition Of the Rcdc Metricsmentioning

confidence: 99%

“…This earlier work included development of two suites of semantic complexity metrics for OO designs. The first was called Relative Class Domain Complexity (RCDC) metrics [5] and the second, Relative Class Definition Entropy (RCDE) metrics [3]. This paper presents the results of an effort to validate the RCDC and RCDE metrics.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

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

Cox¹,

Gholston²,

Utley³

et al. 2007

CIT

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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.

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“…The RCDC metrics are based on the Class Domain Complexity (CDC) semantic metric defined by Etzkorn and Delugach [5].…”

Section: Mathematical Definition Of the Rcdc Metricsmentioning

confidence: 99%

“…The suggested scale for concept weighting factors ranges from 1.0 for complex concepts to 0.25 for simple concepts [5].…”

Section: Mathematical Definition Of the Rcdc Metricsmentioning

confidence: 99%

Section: Mathematical Definition Of the Rcdc Metricsmentioning

confidence: 99%

Section: Mathematical Definition Of the Rcdc Metricsmentioning

confidence: 99%

Section: Introductionmentioning