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Measuring Software Modularity Based on Software Networks.

Yiming Xiang1, Weifeng Pan2, Haibo Jiang2

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Summary
This summary is machine-generated.

This study introduces a new software metric using complex network theory to measure overall software modularity. The proposed metric, based on feature coupling networks, effectively assesses software design quality.

Keywords:
Java softwarecomplex networksmodularitysoftware maintenancesoftware metrics

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Area of Science:

  • Software Engineering
  • Complex Network Theory
  • Software Metrics

Background:

  • Software modularity is crucial for external quality attributes like reusability and maintainability.
  • Existing metrics inadequately capture software modularity as a whole.
  • Complex network theory offers models for analyzing complex systems.

Purpose of the Study:

  • To introduce complex network theory into software engineering.
  • To propose a novel metric for measuring overall software modularity.
  • To validate the metric's theoretical and empirical effectiveness.

Main Methods:

  • Representing software as a feature coupling network (FCN).
  • Applying the 'modularity' metric from community detection to FCNs.
  • Validating the metric using Weyuker's criteria and empirical evaluation on Java systems.

Main Results:

  • The proposed 'modularity' metric effectively measures software modularity as a whole.
  • Theoretical validation using Weyuker's criteria supports its use.
  • Empirical evaluation demonstrates its effectiveness on open-source Java software.

Conclusions:

  • Complex network theory provides a valuable framework for software metric development.
  • The proposed 'modularity' metric offers a comprehensive approach to assessing software design.
  • This metric enhances the evaluation of software quality attributes.