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Recent Trends in Programming languages Review Article

Comparative Analysis of Modern Programming Paradigms: Evaluating Language Efficiency and Compiler Design Technique

  1. Shilpi Saxena Department of Computer Application and IT, Lords University
  2. Ashish Singh School of Computer Sciences and Engineering, Sandip University, Nashik
  3. Vaibhav Rajendra Chaudhari School of Computer Sciences and Engineering, Sandip University, Nashik
  4. Jolly Pandey Department of Information Technology, Gaya College, Gaya
  5. Ashwin Singh Department of Information Technology, Sandip Polytechnic, Sandip Foundation, Nashik
  6. Mritunjay Kr. Ranjan School of Computer Sciences and Engineering, Sandip University, Nashik

Abstract

This paper attempts to provide some insights into the efficiency of modern programming paradigms via a comparative study and explore the important role played by compiler design in the optimization of these languages. Programming languages have been evolving quickly over time and different paradigms: imperative, functional, or object-oriented programming come with their idiosyncrasies and optimization techniques. The study starts by defining the foundational principles of each paradigm. It then goes on to perform an in-depth analysis of how these organizational ideas impact computer design and efficiency. A series of benchmark tests were conducted over several different but representative languages from each paradigm, comparing performance metrics such as execution speed, memory usage, and ease of optimization. These results clearly show big differences in efficiency, dependent on the programming paradigm and individual design decisions made inside of a compiler. Additionally, an investigation of what trade-offs are implied by language features and how they impact programmer productivity is conducted. The goal of this work is to generate insights supporting language designers, educators, and the developers themselves in their decisions on which programming paradigm best supports their requirements. In short, the results demonstrate that using appropriate high-level programming paradigms leveraged to specific project needs can effectively maximize both development and runtime efficiency.

Keywords

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