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Enhancing software design through dynamic metrics and entropy: a case study in cloud security for healthcare systems

Author

Listed:
  • Subhasish Mohapatra
  • Abhishek Roy
  • Bijay Kumar Paikaray

Abstract

The computational analysis through dynamic metrics and entropy potentially makes the system more robust before its real-time application. It can further bridge the missing link between component slicing and package restructuring. It ensures reliability in design and developers gain a methodical blueprint before coding. The result section elaborates on the cohesive analysis of each class. For a good software design, we need high cohesion and low coupling, so this adaptive analysis is achieved for this cloud-integrated healthcare model at the conceptual level of modelling. This analysis proves the flexibility of our proposed model. It systematically controls the ripple effect of changes in a model by coupling measures. The above concept further demonstrates how the structure of a unified modelling language (UML) class module within a model will explore the future scope of research work to provide an ultimate integrated cloud-based healthcare model to the end user.

Suggested Citation

  • Subhasish Mohapatra & Abhishek Roy & Bijay Kumar Paikaray, 2025. "Enhancing software design through dynamic metrics and entropy: a case study in cloud security for healthcare systems," International Journal of Business Continuity and Risk Management, Inderscience Enterprises Ltd, vol. 15(1), pages 1-17.
    • Handle: RePEc:ids:ijbcrm:v:15:y:2025:i:1:p:1-17
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