K. Reddy Reddy
Abstract
Even though object oriented software development has gained popularity due to its inherent features, it also throws challenges in early detection of defects during design phase. Detection of design defects helps in performing appropriate refactorings in improving the quality of design. Literature indicates that active research is going on in detecting design defects using metrics. The present paper introduces a set of metrics for detecting defects in object oriented designs caused by the presence of shotgun surgery and divergent change bad smells. These metrics are, dependency oriented complexity metric for structure (DOCMS(R)), dependen-cy oriented complexity metric for an artifact causing ripples (DOCMA(CR)), and dependency oriented complexity metric for an artifact affected by ripples (DOCMA(AR)). The proposed me-trics have been computed for four cases. These metrics are used successfully in detecting design defects and complexity. In the present study DOCMA(CR) metric value indicated the presence of shotgun surgery bad smell, whereas DOCMA(AR) metric value indicated the presence of divergent change bad smell. DOCMS(R) metric value indicated the increase in complexity of structure (ar-chitecture) when the design defects are present. Detecting bad smells helps in performing appropriate refactorings to make the software maintainable and to improve the quality of software.
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Index Terms
- Dependency oriented complexity metrics to detect rippling related design defects
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