Evaluating Modern Software Design Trends for Efficient and Maintainable Application Development

Contemporary software development relies on the adequate choice of architectural paradigms that may guarantee performance, scalability, and maintainability in diverse environments. This paper is a comparison of four modern software design paradigms (Functional, Object-Oriented (OOP), Microservices, and React-based) involving a controlled setting and utilizing Node.js. The metrics were collected using automated benchmarking tools (e.g., Lighthouse and Puppeteer) to compare Lines of Code (LOC), Performance Score, First Contentful Paint (FCP), and Throughput quantitatively, in terms of measurability, trade-offs, performance, and maintainability. The React-based architecture delivered the highest run-time performance with FCP of 810 MS and was measurably throughput at 230 requests/second which would be responsive to existing web systems in general use. The Functional architecture offered the highest code readability (137 LOC), and OOP offered the greatest modularity and maintainability. Microservices are the most scalable, however, during load testing, they consumed the largest system resources (CPU at 70%; memory at 66%). This comparative method applies the principles of design science to define an executable strategy that guides developers and researchers in making informed architectural decisions based on data. This endeavor is helping to be able to maintain high-performance, high-quality, and maintainable software-engineering practice in current application development.