Accounting for data encapsulation in the measurement of object-oriented class cohesion
2015; Wiley; Volume: 27; Issue: 5 Linguagem: Inglês
10.1002/smr.1714
ISSN2047-7481
Autores Tópico(s)Software System Performance and Reliability
ResumoJournal of Software: Evolution and ProcessVolume 27, Issue 5 p. 373-400 Research Article Accounting for data encapsulation in the measurement of object-oriented class cohesion Jehad Al Dallal, Corresponding Author Jehad Al Dallal Department of Information Science, Kuwait University, PO Box 5969, Safat, 13060 Kuwait Correspondence to: Jehad Al Dallal, Department of Information Science, Kuwait University, PO Box 5969, Safat 13060, Kuwait. E-mail: [email protected]Search for more papers by this author Jehad Al Dallal, Corresponding Author Jehad Al Dallal Department of Information Science, Kuwait University, PO Box 5969, Safat, 13060 Kuwait Correspondence to: Jehad Al Dallal, Department of Information Science, Kuwait University, PO Box 5969, Safat 13060, Kuwait. E-mail: [email protected]Search for more papers by this author First published: 23 April 2015 https://doi.org/10.1002/smr.1714Citations: 5Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Abstract Intuitively, in a certain class, a pair of methods that share an attribute of an object type is potentially more cohesive than those that share an attribute of a primitive type because the attribute of a reference type could implicitly refer to multiple data. Existing class cohesion measures ignore the implicit access to or sharing of attributes due to the encapsulation feature. As a result, the obtained cohesion values can be inaccurate and could lead to incorrect quality indications. This paper aims at demonstrating how to account for data encapsulation (DE) in cohesion measurement and reports empirical studies that investigate the impact of considering DE in cohesion measurement on cohesion values and the abilities of cohesion measures to predict class fault proneness. To differentiate between attributes and parameters of different types, we propose a weight assignment algorithm. The weight that is assigned to an attribute or a parameter of a type depends on the number of encapsulated attributes of the type. Seven cohesion measures are extended to consider the assigned weights in cohesion measurement. 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