A Model-Driven Framework for the Development of MVC-Based (Web) Application.
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| Title: | A Model-Driven Framework for the Development of MVC-Based (Web) Application. |
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| Authors: | Ahmad, Sheikh Israr, Rana, Tauseef, Maqbool, Ayesha |
| Source: | Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ); Feb2022, Vol. 47 Issue 2, p1733-1747, 15p |
| Subject Terms: | WEB-based user interfaces, WEB development, ENGINEERING design, SOURCE code, SOFTWARE engineers, SOFTWARE engineering |
| Abstract: | Model-driven engineering is a renowned software engineering methodology for design and development of software systems with the help of various types of models. Model–View–Controller (MVC) is a popular and extensively used architectural pattern for Web application development process in different platforms. Literature review reveals that there are implementation-level deficiencies in the form of complicated structure, time taken for development and maintenance of MVC-based Web application in different MVC-based frameworks. In this article, we introduce a unique model-driven framework approach to simplify the use of MVC-based frameworks for Web application development. In our approach, we introduce a unique mechanism with the help of a UML Profile model and a model to text transformation engine to automatically generate the implementation of any (Web) application in three defined MVC-based frameworks; our approach is extensible to support more MVC frameworks. For ease, we have created an application with GUI to generate the required MVC-based framework code. The application/implementation of our unique approach is verified with two benchmark case studies; results show that we closely generate the MVC-based Web application source code which is flexible to add critical application business logic. [ABSTRACT FROM AUTHOR] |
| Copyright of Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ) is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Complementary Index |
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