AI-Assisted Migration from Angular to React: A Framework and Tool-Based Approach


Authors : Ripunjoy Sarkar

Volume/Issue : Volume 10 - 2025, Issue 12 - December


Google Scholar : https://tinyurl.com/mr2j294a

Scribd : https://tinyurl.com/2s43tmc9

DOI : https://doi.org/10.38124/ijisrt/25dec1434

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : Legacy AngularJS applications often face maintainability and scalability challenges. Modern component-based frameworks like React offer improved performance and developer experience, but migration is complex due to architectural differences. This article presents a structured migration framework and an AI-powered migration tool designed to streamline this process. By embedding automation, machine learning, and intelligent code transformation, the approach minimizes manual intervention, reduces risk, and ensures efficient modernization of large-scale UI systems.

References :

  1. Thilanka Kaushalya, I. Perera, Framework to Migrate AngularJS Based Legacy Web Application to React Component Architecture, 2021 Moratuwa Engineering Research Conference (MERCon), 2021.
  2. Manasa Talluri, Migrating Legacy Angular JS Applications to React Native: A Case Study, International Journal on Recent and Innovation Trends in Computing and Communication, 2021.
  3. Ripunjoy Sarkar, Microfrontend Generation with AI: A Next-Gen Approach to Modular UI Systems, IEEE Software, 2025.
  4. Facebook Engineering, React Documentation and Internal Architecture Notes, 2024.
  5. Google Angular Team, AngularJS Migration Guide and End-of-Life Report, 2022.

Legacy AngularJS applications often face maintainability and scalability challenges. Modern component-based frameworks like React offer improved performance and developer experience, but migration is complex due to architectural differences. This article presents a structured migration framework and an AI-powered migration tool designed to streamline this process. By embedding automation, machine learning, and intelligent code transformation, the approach minimizes manual intervention, reduces risk, and ensures efficient modernization of large-scale UI systems.

CALL FOR PAPERS


Paper Submission Last Date
31 - January - 2026

Video Explanation for Published paper

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