Design Pattern Usage in Large-Scale .NET Applications

Aim: In recent years, the complexity of large .NET applications has necessitated better design pattern application in order to facilitate scalability, maintainability, and flexibility. Enterprise applications with high transactional volumes and numerous data sources need strong architectures to support performance and reliability requirements. Design patterns offer plug-and-play solutions to solve these issues, but their extension into .NET environments is largely unexplored. This research seeks to investigate the use of design patterns in big .NET applications, determining prominent patterns, challenges, and best practices. Through their function within enterprise scenarios, the research will offer concrete recommendations for developers to enhance system performance and design. Methods: A qualitative thematic analysis was conducted on 23 peer-reviewed articles and selected open-source .NET repositories, using a systematic review and code analysis to extract recurring design patterns, implementation trends, and challenges. The findings indicate that Repository, Unit of Work, and Dependency Injection patterns greatly improve scalability and maintainability. Results: These results imply that .NET programmers need to give prime importance to well-established patterns such as Repository, Unit of Work, and Dependency Injection for enterprise requirements, while using caution with complicated patterns to enhance system performance and maintainability. This equilibrium is essential in creating durable .NET applications in high-risk enterprise settings.