Modern Web Reengineering: Migrating Legacy Systems to the Future

This book presents a structured approach to improving the maintainability and quality of web applications through web reengineering. It extracts and abstracts key information from existing applications to create useful documentation that supports maintenance, migration, and modernization. The study identifies significant web metrics that influence website quality and uses machine learning models to predict whether a website is good or bad. It also introduces the STAR paradigm and an extended V-model for efficient web reengineering.