Conceptual Cohesion of Classes(C3) Metrics
Journal: International Journal of Science and Research (IJSR) (Vol.3, No. 4)Publication Date: 2014-04-15
Authors : Girish K.K.;
Page : 1-4
Keywords : Software cohesion; textual coherence; fault prediction; fault proneness; program comprehension; information retrieval; Latent Semantic Indexing;
Abstract
High cohesion is a desirable property of software as it positively impacts understanding, reuse, and maintenance. Currently proposed measures for cohesion in Object-Oriented (OO) software reflect particular interpretations of cohesion and capture different aspects of it. Existing approaches are largely based on using the structural information from the source code, such as attribute references, in methods to measure cohesion. This paper proposes a new measure for the cohesion of classes in OO software systems based on the analysis of the unstructured information embedded in the source code, such as comments and identifiers. The measure, named the Conceptual Cohesion of Classes (C3), is inspired by the mechanisms used to measure textual coherence in cognitive psychology and computational linguistics. This paper presents the principles and the technology that stand behind the C3 measure. An open source eclipse plug-in is developed as part of this research work to demonstrate how well cohesion of classes is predicted using C3 metrics.
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Last modified: 2014-05-06 01:14:41