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Cited by 422

The DOI matches its Crossref record; 89 of the 89 references it cites were found in a registry or an index.

The confounding effect of class size on the validity of object-oriented metrics

El Emam, K., Benlarbi, S., Goel, N., Rai, S.N.·2001·IEEE Transactions on Software Engineering
DOI 10.1109/32.935855
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Abstract

Much effort has been devoted to the development and empirical validation of object-oriented metrics. The empirical validations performed thus far would suggest that a core set of validated metrics is close to being identified. However, none of these studies allow for the potentially confounding effect of class size. We demonstrate a strong size confounding effect and question the results of previous object-oriented metrics validation studies. We first investigated whether there is a confounding effect of class size in validation studies of object-oriented metrics and show that, based on previous work, there is reason to believe that such an effect exists. We then describe a detailed empirical methodology for identifying those effects. Finally, we perform a study on a large C++ telecommunications framework to examine if size is really a confounder. This study considered the Chidamber and Kemerer metrics and a subset of the Lorenz and Kidd metrics. The dependent variable was the incidence of a fault attributable to a field failure (fault-proneness of a class). Our findings indicate that, before controlling for size, the results are very similar to previous studies. The metrics that are expected to be validated are indeed associated with fault-proneness.

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Metadata

Authors
El Emam, K., Benlarbi, S., Goel, N., & Rai, S. N.
Venue
IEEE Transactions on Software Engineering
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2001-07
Volume
27
Issue
7
Pages
630-650
ISSN
0098-5589 (ISSN-L)
DOI
10.1109/32.935855
OpenAlex
W2160538621
Cited by
422
References
89
FWCI
34.08
Type
journal article
Language
en
Open access
closed

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