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Analysis of Design Patterns Available for the Implementation of Applications in Xamarin

Edwin Norbey Gómez Bello & Miguel Ángel Leguizamón Páez

International Journal of Information Technology and Web Engineering2025https://doi.org/10.4018/ijitwe.370962article
ABDC C
Weight
0.37

What the paper says

This article explores how Xamarin simplifies cross-platform mobile app development and highlights the importance of design patterns in tackling modern software challenges. As demand grows for adaptable, high-performing apps, Xamarin empowers developers to create seamless solutions for iOS, Android, and Windows using C#. The text introduces key design patterns like Model-View-ViewModel (MVVM), singleton, and dependency injection, showing how they reduce complexity, boost code reuse, and improve maintainability. It also discusses the transition to .NET MAUI, the next-generation framework built on Xamarin's foundation, offering enhanced performance and flexibility. A practical example demonstrates the Model-View-ViewModel (MVVM) pattern in a task list app, illustrating how design patterns solve real-world problems. By focusing on efficient resource management and scalable design, this article provides actionable insights to overcome challenges in cross-platform development, ensuring robust and maintainable applications.

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https://doi.org/https://doi.org/10.4018/ijitwe.370962

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@article{edwin2025,
  title        = {{Analysis of Design Patterns Available for the Implementation of Applications in Xamarin}},
  author       = {Edwin Norbey Gómez Bello & Miguel Ángel Leguizamón Páez},
  journal      = {International Journal of Information Technology and Web Engineering},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.4018/ijitwe.370962},
}

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Analysis of Design Patterns Available for the Implementation of Applications in Xamarin

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Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.