Automated Code Translation: Enhancing Efficiency and Accuracy Across Programming Languages

DOI

10.2991/978-94-6463-787-8_55How to use a DOI?

Keywords

Code Translation; Automated Code Conversion; Software Migration; Technology Adoption

Abstract

Programming languages are the backbone of modern technology, created with unique strengths and purposes behind each one. However, with this diversity, it becomes burdensome for the developers, organizations, or the educators to switch between multiple languages. The translation of code itself is very redundant, error-prone, and time-consuming by hand. Complexities are highlighted in large projects or when an old system with legacy is integrated into modern technologies. One common challenge that arises in software migration is that organizations need to update or replace applications written in outdated languages with modern equivalents. Similarly, developers working on multi-platform applications often face the need to translate logic and functionality into different languages for compatibility. For students and learners, understanding how the same algorithm or concept applies across languages is crucial for gaining a deeper understanding of programming. Manual code translation is a time-consuming process and introduces a higher risk of syntax errors and logical inconsistencies. These problems can slow development cycles, increase debugging efforts, and lead to inefficient implementations. These automated code conversion tools have provided an alternative method for code translation, faster and more reliable in their translation of the code with no change in structure and functionality. It is less complex to use such tools in changing between languages, embracing new technologies, and fostering cross-language learning. The tool minimizes human error, enhances productivity, and gives the user freedom to concentrate on real-world problem-solving instead of getting lost in the language specifics for technology adoption.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Abhay Das
AU  - Sombit Chowdhury
AU  - Deblina Ghosh
AU  - Sayan Saha
AU  - Swarnali Chakraborty
AU  - Dipayan Das
AU  - Suman Kumar Bhattacharyya
AU  - Soumya Bhattacharyya
AU  - Panchali Datta Choudhury
AU  - Kashi Nath Dutta
PY  - 2025
DA  - 2025/07/17
TI  - Automated Code Translation: Enhancing Efficiency and Accuracy Across Programming Languages
BT  - Proceedings of the Recent Advances in Artificial Intelligence for Sustainable Development (RAISD 2025)
PB  - Atlantis Press
SP  - 736
EP  - 748
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-787-8_55
DO  - 10.2991/978-94-6463-787-8_55
ID  - Das2025
ER  -