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

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4 Author(s)
El Emam, K. ; Inst. for Inf. Technol., Nat. Res. Council of Canada, Ottawa, Ont., Canada ; Benlarbi, S. ; Goel, N. ; Rai, S.N.

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

Published in:

Software Engineering, IEEE Transactions on  (Volume:27 ,  Issue: 7 )

Date of Publication:

Jul 2001

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