Enhancing Software Design Through Dynamic Metrics and Entropy: A Case Study in Cloud Security for Healthcare Systems
Abhishek Roy, Subhasish Mohapatra, Bijay Kumar Paikaray · International Journal of Business Continuity and Risk Management · 2024
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.