Please use this identifier to cite or link to this item:
https://hdl.handle.net/11147/12815
Title: | A Domain-specific language for the document-based model-driven engineering of business applications | Authors: | Leblebici, Onur Kardaş, Geylani Tuğlular, Tuğkan |
Keywords: | Business application DARC Domain-specific language Model-driven engineering |
Publisher: | IEEE | Abstract: | To facilitate the development of business applications, a domain-specific language (DSL), called DARC, is introduced in this paper. Business documents including the descriptions of the responsibilities, authorizations, and collaborations, are used as the first-class entities during model-driven engineering (MDE) with DARC. Hence the implementation of the business applications can be automatically achieved from the corresponding document models. The evaluation of using DARC DSL for the development of commercial business software was performed in an international sales, logistics, and service solution provider company. The results showed that the code for all business documents and more than 50% of the responsibility descriptions composing the business applications could be generated automatically by modeling with DARC. Finally, according to the users' feedback, the assessment clearly revealed the adoption of DARC features in terms of the DSL quality characteristics, namely functional suitability, usability, reliability, maintainability, productivity, extensibility, compatibility, and expressiveness. | URI: | https://doi.org/10.1109/ACCESS.2022.3210530 https://hdl.handle.net/11147/12815 |
ISSN: | 2169-3536 |
Appears in Collections: | Computer Engineering / Bilgisayar Mühendisliği Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
A_Domain-Specific_Language_for_the_Document-Based_Model-Driven_Engineering_of_Business_Applications.pdf | Article | 1.41 MB | Adobe PDF | View/Open |
CORE Recommender
SCOPUSTM
Citations
2
checked on Nov 15, 2024
WEB OF SCIENCETM
Citations
2
checked on Nov 9, 2024
Page view(s)
230
checked on Nov 18, 2024
Download(s)
146
checked on Nov 18, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.