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

Authors: Subhasish Mohapatra; Abhishek Roy; Bijay Kumar Paikaray

Addresses: Department of Computer Science and Engineering, Adamas University, Kolkata, India ' Department of Computer Science and Engineering, Adamas University, Kolkata, India ' Department of Computer Science and Engineering, Centre for Data Science, Siksha 'O' Anusandhan (Deemed to be) University, Odisha, India

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.

DOI: 10.1504/IJBCRM.2025.144939

International Journal of Business Continuity and Risk Management, 2025 Vol.15 No.1, pp.1 - 17

Received: 09 May 2024
Accepted: 01 Jul 2024
Published online: 13 Mar 2025 *

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