AI-Powered Strategies for Modernizing Legacy Web Applications
DOI:
https://doi.org/10.63282/3050-9416.IJAIBDCMS-V5I1P104Keywords:
legacy web modernization, AI in web development, intelligent UI transformation, web application migration, ML for front-end refactoring, adaptive user experience, AI-based testing, intelligent browser compatibility, secure data migration, explainable AI in web platformsAbstract
Legacy web applications continue to support critical business functions but often suffer from outdated architectures, security vulnerabilities, and poor user experience. This article explores how artificial intelligence (AI) and machine learning (ML) can be harnessed specifically for modernizing web-based systems. It presents in-depth techniques for AI-assisted front-end refactoring, back-end service decomposition, session behavior modeling, and intelligent testing. Additionally, it outlines AI strategies for handling web-specific challenges such as dynamic content rendering, browser compatibility, and cross-site scripting. With AI-powered workflows, organizations can streamline the transformation of legacy web apps into modular, responsive, and cloud-ready systems while maintaining user trust and minimizing disruption
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