REST API auto generation: a model-based approach
t. Most of software products, especially mobile applications (apps) rely on a back-end web services to communicate with a shared data repository. Statistics have demonstrated exponential demand on web services, mainly REST, due to the continuous adoption of IoT (Internet of Things) and Cloud Comp...
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Online Access: | http://irep.iium.edu.my/88997/13/88997_REST%20API%20Auto%20Generation_update.pdf http://irep.iium.edu.my/88997/2/88997_REST%20API%20Auto%20Generation_scopus.pdf http://irep.iium.edu.my/88997/ |
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my.iium.irep.889972021-04-13T04:51:33Z http://irep.iium.edu.my/88997/ REST API auto generation: a model-based approach Hussein, Salah Zein, Samer Salleh, Norsaremah T Technology (General) t. Most of software products, especially mobile applications (apps) rely on a back-end web services to communicate with a shared data repository. Statistics have demonstrated exponential demand on web services, mainly REST, due to the continuous adoption of IoT (Internet of Things) and Cloud Computing. However, the development of back-end REST web services is not a trivial task, and can be intimidating even for seasoned developers. Despite the fact that there are several studies that focus on automatic generation of REST APIs, we argue that those approaches violate the rules of code flexibility and are not appropriate for novice developers. In this study, we present an approach and a framework, named RAAG (REST Api Auto-Generation), that aims to improve productivity by simplifying the development of REST web services. Our RAAG framework abstracts layers, where code generation has been avoided due its limitations. A preliminary evaluation shows that RAAG can significantly improves development productivity and is easy to operate even by novice developers. IOS Press BV 2020-09 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/88997/13/88997_REST%20API%20Auto%20Generation_update.pdf application/pdf en http://irep.iium.edu.my/88997/2/88997_REST%20API%20Auto%20Generation_scopus.pdf Hussein, Salah and Zein, Samer and Salleh, Norsaremah (2020) REST API auto generation: a model-based approach. In: 19th International Conference on New Trends in Intelligent Software Methodologies, Tools and Techniques, 22 - 24 September 2020, Virtual, Online; Japan. 10.3233/FAIA200570 |
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T Technology (General) Hussein, Salah Zein, Samer Salleh, Norsaremah REST API auto generation: a model-based approach |
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t. Most of software products, especially mobile applications (apps) rely on
a back-end web services to communicate with a shared data repository. Statistics
have demonstrated exponential demand on web services, mainly REST, due to the
continuous adoption of IoT (Internet of Things) and Cloud Computing. However,
the development of back-end REST web services is not a trivial task, and can be
intimidating even for seasoned developers. Despite the fact that there are several
studies that focus on automatic generation of REST APIs, we argue that those approaches violate the rules of code flexibility and are not appropriate for novice developers. In this study, we present an approach and a framework, named RAAG
(REST Api Auto-Generation), that aims to improve productivity by simplifying
the development of REST web services. Our RAAG framework abstracts layers,
where code generation has been avoided due its limitations. A preliminary evaluation shows that RAAG can significantly improves development productivity and is
easy to operate even by novice developers. |
format |
Conference or Workshop Item |
author |
Hussein, Salah Zein, Samer Salleh, Norsaremah |
author_facet |
Hussein, Salah Zein, Samer Salleh, Norsaremah |
author_sort |
Hussein, Salah |
title |
REST API auto generation: a model-based approach |
title_short |
REST API auto generation: a model-based approach |
title_full |
REST API auto generation: a model-based approach |
title_fullStr |
REST API auto generation: a model-based approach |
title_full_unstemmed |
REST API auto generation: a model-based approach |
title_sort |
rest api auto generation: a model-based approach |
publisher |
IOS Press BV |
publishDate |
2020 |
url |
http://irep.iium.edu.my/88997/13/88997_REST%20API%20Auto%20Generation_update.pdf http://irep.iium.edu.my/88997/2/88997_REST%20API%20Auto%20Generation_scopus.pdf http://irep.iium.edu.my/88997/ |
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1696976084308852736 |
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13.214268 |