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Faults and Their Relationship to Implemented Patterns, Coupling and Cohesion in Commercial C# Software

Faults and Their Relationship to Implemented Patterns, Coupling and Cohesion in Commercial C# Software

Matt Gatrell, Steve Counsell
Copyright: © 2012 |Volume: 3 |Issue: 2 |Pages: 20
ISSN: 1947-8186|EISSN: 1947-8194|EISBN13: 9781466612709|DOI: 10.4018/jismd.2012040103
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MLA

Gatrell, Matt, and Steve Counsell. "Faults and Their Relationship to Implemented Patterns, Coupling and Cohesion in Commercial C# Software." IJISMD vol.3, no.2 2012: pp.69-88. http://doi.org/10.4018/jismd.2012040103

APA

Gatrell, M. & Counsell, S. (2012). Faults and Their Relationship to Implemented Patterns, Coupling and Cohesion in Commercial C# Software. International Journal of Information System Modeling and Design (IJISMD), 3(2), 69-88. http://doi.org/10.4018/jismd.2012040103

Chicago

Gatrell, Matt, and Steve Counsell. "Faults and Their Relationship to Implemented Patterns, Coupling and Cohesion in Commercial C# Software," International Journal of Information System Modeling and Design (IJISMD) 3, no.2: 69-88. http://doi.org/10.4018/jismd.2012040103

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Abstract

This paper documents a study of fault proneness in commercial, proprietary software and attempts to determine whether a relationship exists between class faults and the design context of a class, namely the coupling and cohesion of a class, and whether the class is a participant of common design patterns. The authors studied a commercial software system for a 24 month period and identified design pattern participants by inspecting the design documentation and source code; coupling and cohesion metrics were measured by inspecting the source code with a tool; we also extracted fault data for the same period to determine whether a relationship existed between the design context and the fault propensity of a class. Results showed that design pattern participant classes were marginally more fault-prone than non-participant classes, The Adaptor, Method and Singleton patterns were found to be the most fault-prone of thirteen patterns explored. Coupling was found to have a significant relationship with the fault proneness of classes in the system; efferent coupling was a stronger indicator of fault propensity than afferent coupling. Cohesion, when measured using the LCOM(HS) metric, was not found to have a strong relationship with fault proneness.

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