Evaluating Software Architectures: A Comprehensive Comparative Review

Authors

  • Taimoor Hassan University of Central Punjab

Keywords:

LSTM (Long Short Memory), CCN (Convolutional Neural Network), HMM (Hidden Markov Model), ANN (Artificial Neural Network), SVM (Support Vector Machines)

Abstract

Without the proper and valid software architecture, there is no software development exist in market and industries. In this review paper, we analysis and comparison the numerous architectures based on proposed models and their impact in the shape of results outcomes on the software project and their function parameters.  

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Published

2025-12-02

How to Cite

Hassan, T. (2025). Evaluating Software Architectures: A Comprehensive Comparative Review. Robotics and Artificial Intelligence Review, 1(1), 59–64. Retrieved from https://journals.umt.edu.pk/index.php/RAIR/article/view/7785

Issue

Vol. 1 No. 1 (2025): Spring

Section

Articles