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Efficient Implementation of Fault Prediction in Object-Oriented Systems Based on Conceptual Cohesion of Classes

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Author(s): D RATNA GIRI | , T V SUBBARAO | SANGAPU VENKATA APPAJI | P L N RAJU

Journal: International Journal of Computer Science and Communication Networks
ISSN 2249-5789

Volume: 01;
Issue: 03;
Start page: 310;
Date: 2011;
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Keywords: Fault Prediction | Object Oriented Software | Conceptual Cohesion of Classes (C 3 )

ABSTRACT
While often defined in informal ways, software cohesion reflects important properties of modules in a software system. Cohesion measurement has been used for quality assessment, fault proneness prediction, software modularization, etc. Existing approaches to cohesion measurement in software are largely based on the structural information of the source code, such as attribute references in methods. These measures reflect particular interpretations of cohesion and try to capture different aspects of cohesion and no single cohesion metric or suite is accepted as standard measurement for cohesion. The paper proposes a new set of measures for the cohesion of individual classes within an software system, based on the analysis of the semantic information embedded in the source code, such as comments and identifiers. A case study on open source software is presented, which compares the new measures with an extensive set of existing metrics. The differences and similarities among the approaches and results are discussed and analyzed
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