Abstract
In this paper, we analyze a dataset freely provided through the PROMISE repository containing data on object-oriented (OO) class features and associated faults. We used a set of metrics provided with the dataset, based loosely on the Chidamber & Kemerer (C&K) metrics for our analysis; in particular, we compared and contrasted the characteristics of classes containing faults with those containing zero faults as a mechanism for establishing their causes and a hypothesis-based approach was adopted to this end. Several key results emerged from our analysis. Firstly, coupling seems to be a key factor influencing fault-proneness; the likelihood of at least one fault is greater when there is relatively high coupling. Secondly, class size ‘does matter’ - the more methods in a class, the more faults the class tends to contain. Finally, cross-correlation of the five metrics revealed an interesting trait related to inheritance and a previous study into C++ friends.
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Counsell, S. (2008). An Analysis of Faulty and Fault-Free C++ Classes Using an Object-Oriented Metrics Suite. In: Iskander, M. (eds) Innovative Techniques in Instruction Technology, E-learning, E-assessment, and Education. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-8739-4_92
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DOI: https://doi.org/10.1007/978-1-4020-8739-4_92
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