SEApr 14, 2015

EMF-REST: Generation of RESTful APIs from Models

arXiv:1504.03498v148 citations
AI Analysis

This addresses the problem of non-trivial RESTful service design for developers, offering a semi-automated solution that is incremental in leveraging existing MDE techniques.

The paper tackles the challenge of designing RESTful Web services by presenting EMF-REST, an approach that uses Model-Driven Engineering to generate RESTful APIs from EMF data models, resulting in ready-to-run-and-test Web APIs with integrated validation and security features.

In the last years, RESTful Web services have become more and more popular as a lightweight solution to connect remote systems in distributed and Cloud-based architectures. However, being an architectural style rather than a specification or standard, the proper design of RESTful Web services is not trivial since developers have to deal with a plethora of recommendations and best practices. Model-Driven Engineering (MDE) emphasizes the use of models and model transformations to raise the level of abstraction and semi-automate the development of software. In this paper we present an approach that leverages on MDE techniques to generate RESTful services. The approach, called EMF-REST, takes EMF data models as input and generates Web APIs following the REST principles and relying on well-known libraries and standards, thus facilitating its comprehension and maintainability. Additionally, EMF-REST integrates model and Web-specific features to provide model validation and security capabilities, respectively, to the generated API. For Web developers, our approach brings more agility to the Web development process by providing ready-to-run-and-test Web APIs out of data models. Also, our approach provides MDE practitioners the basis to develop Cloud-based modeling solutions as well as enhanced collaborative support.

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