A Systematic Mapping Study on Dynamic Metrics and Software Quality
Amjed Tahir, Stephen G. MacDonell

TL;DR
This systematic mapping study reviews 60 research works on dynamic software metrics, highlighting their focus on coupling, cohesion, and complexity, and identifying future opportunities across diverse quality dimensions.
Contribution
The paper provides a comprehensive classification and analysis of existing research on dynamic metrics, revealing research trends, gaps, and future directions in the field.
Findings
Strong focus on dynamic coupling and cohesion metrics
Most studies address software complexity
Identified opportunities for broader quality dimension research
Abstract
Several important aspects of software product quality can be evaluated using dynamic metrics that effectively capture and reflect the software's true runtime behavior. While the extent of research in this field is still relatively limited, particularly when compared to research on static metrics, the field is growing, given the inherent advantages of dynamic metrics. The aim of this work is to systematically investigate the body of research on dynamic software metrics to identify issues associated with their selection, design and implementation. Mapping studies are being increasingly used in software engineering to characterize an emerging body of research and to identify gaps in the field under investigation. In this study we identified and evaluated 60 works based on a set of defined selection criteria. These studies were further classified and analyzed to identify their relativity to…
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