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The external and data loose coupling for the integration of software units: a systematic mapping study.

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Summary

Software integration is crucial for businesses exchanging data. This study uses Systematic Mapping Study (SMS) to analyze component-level software integration research, identifying gaps for improved data integrity and loose coupling.

Keywords:
Data couplingEnterprise application integrationLoose couplingSoftware units integrationSystematic mapping study

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Area of Science:

  • Software Engineering
  • Information Systems Integration

Background:

  • Enterprise software integration is essential for data exchange with external entities.
  • Maintaining data integrity and up-to-date integrations is vital amidst global business changes to mitigate transaction risks.

Purpose of the Study:

  • To organize existing evidence on component-level software unit integration.
  • To identify research gaps in integrating software for external and data loose coupling.

Main Methods:

  • A Systematic Mapping Study (SMS) methodology was employed.
  • SMS, adapted from medical research, classifies and structures published software engineering research.

Main Results:

  • The study maps the research landscape of component-level software integration.
  • Identifies areas needing further investigation to enhance integration practices.

Conclusions:

  • Organized evidence provides a foundation for future research in software integration.
  • Highlights the need for improved methods for low-level system integration and loose coupling.