Polymorphism Measures for Early Risk Prediction

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Polymorphism Measures for Early Risk Prediction
Abstract. Polymorphism is a key feature of the objectoriented paradigm. However, polymorphism induces hidden forms of class dependencies, which may impact software quality. In this paper, we define and empirically investigate the quality impact of polymorphism on OO design. We define measures of two main aspects of polymorphic behaviors provided by the C++ language: polymorphism based on compile time linking decisions (overloading functions for example) and polymorphism based on run-time binding decisions (virtual functions for example). Then, we validate our measures by evaluating their impact on class fault-proneness, a software quality attribute. The results show that our measures are significant predictors of fault proneness as well as they constitute a good complement to the existing OO design measures.
Saïda Benlarbi, Walcélio L. Melo
Added 04 Aug 2010
Updated 04 Aug 2010
Type Conference
Year 1999
Where ICSE
Authors Saïda Benlarbi, Walcélio L. Melo
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