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Decomposition of inheritance hierarchy DAGs for object-oriented software metrics

Authors: Timothy K. Shih; Chi-Ming Chung; Chun-Chia Wang; Wen C. Pai;

Decomposition of inheritance hierarchy DAGs for object-oriented software metrics

Abstract

Software metrics are widely used to measure software complexity and assure software quality. However, research in the field of software complexity measurement of a class hierarchy has not yet been carefully studied. The authors introduce a novel factor called unit repeated inheritance (URI) and an important method called the inheritance level technique (ILT) to realize and measure the object-oriented software complexity of a class hierarchy. The approach is based on the graph-theoretical model for measuring the hierarchical complexity in inheritance relations. The proposed metrics extraction shows that inheritance is closely related to the object-oriented software measurement and reveals that overuse of the repeated (multiple) inheritance will increase software complexity and be prone to implicit software errors.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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