🤖 AI Summary
This work addresses the common neglect of software design principles in existing automated code generation approaches, which often results in mobile applications with poor architectural quality. To overcome this limitation, the authors propose a novel method that integrates software product line engineering with variability modeling of design patterns. For the first time, the Universal Variability Language (UVL) is employed to explicitly capture structural and behavioral variations of design patterns, enabling their integration as configurable assets within the code generation pipeline. Leveraging UVL models, the Jinja templating engine, and Swift-based code synthesis, the proposed system supports the customizable, automated generation of design patterns such as Singleton and Strategy. This approach not only preserves architectural integrity but also significantly enhances application maintainability and reusability.
📝 Abstract
The increasing reliance on automatic code generation in mobile application development often leads to code that neglects fundamental design principles and architectural quality. In this work, we address this challenge by capturing and exploiting the inherent variability of software design patterns to systematically generate customizable and well-structured mobile applications. We propose the use of the Universal Variability Language (UVL) to explicitly model the structural and behavioral variation points of common design patterns, such as Singleton, Strategy, Observer, Adapter, and Factory Method. These models are integrated with reusable Jinja templates, enabling code generation in Swift. Our approach leverages Software Product Line (SPL) engineering principles, treating design patterns as configurable assets within a product line and supporting automated generation of custom design patterns. We also analyze the configuration space of the modeled patterns, offering insights into their variability complexity. By formalizing design pattern variability and embedding it into the generation process, our work bridges model-driven engineering with practical mobile development, promoting the production of maintainable, reusable, and architecturally sound applications.