 Enhancing software design through dynamic metrics and entropy: a case study in cloud security for healthcare systemsSubhasish Mohapatra, Abhishek Roy and Bijay Kumar Paikaray International Journal of Business Continuity and Risk Management, 2025, vol. 15, issue 1, 1-17 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. Keywords: cloud-healthcare; cohesion; coupling; modularisation; healthcare model; entropy. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbcrm:v:15:y:2025:i:1:p:1-17 Access Statistics for this article More articles in International Journal of Business Continuity and Risk Management from Inderscience Enterprises Ltd |
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