The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
A MDSD Approach for Adaptable Service Oriented Systems based on Domain Specific Language Engineering
|
|
Author(s): Mohammed Lethrech (ENSIAS, Mohammed V University in Rabat, Rabat, Morocco), Adil Kenzi (Sidi Mohamed Ben Abdellah University, Fes, Morocco), Issam Elmagrouni (ENSIAS, Mohammed V University in Rabat, Rabat, Morocco), Mahmoud Nassar (ENSIAS, Mohammed V University in Rabat, Rabat, Morocco)and Abdelaziz Kriouile (ENSIAS, Mohammed V University in Rabat, Rabat, Morocco)
Copyright: 2016
Volume: 7
Issue: 1
Pages: 25
Source title:
International Journal of Adaptive, Resilient and Autonomic Systems (IJARAS)
DOI: 10.4018/IJARAS.2016010101
Purchase
|
Abstract
The simultaneous use of the new computing paradigms: Domain Specific Modeling, Context Oriented Computing and Service Oriented Computing, raises many challenges. Particularly, the challenge of engineering such systems, which consists of the definition of modeling approaches, processes, techniques and tools to facilitate their construction. The proposed MDSD approach for context-aware service oriented systems is based on Domain Specific Language Engineering. The Context-Aware, Domain Specific and Service Oriented (CADSSO) development approach is based on five models. The first one is domain specific context model; it symbolizes the services context of use. The second is domain specific services model; it takes care of services modeling. The third is service variability model; it formulates services variants. The fourth is adaptation rules model, which is the joint between service variability model and context model. The fifth is business rules model, used to model domain business. A code generator is in charge of the transformation of the five models to the final code.
Related Content
|
Trung-Nghia Phung, Duc-Binh Nguyen, Ngoc-Phuong Pham.
© 2024.
16 pages.
|
|
Kanokwan Singha, Parthana Parthanadee, Ajchara Kessuvan, Jirachai Buddhakulsomsiri.
© 2024.
14 pages.
|
|
Piyanee Akkawuttiwanich, Pisal Yenradee, Narudh Cheramakara.
© 2024.
26 pages.
|
|
Waranyoo Thippo, Chorkaew Jaturanonda, Sorawit Yaovasuwanchai, Charoenchai Khompatraporn, Teeradej Wuttipornpun, Kulwara Meksawan.
© 2024.
28 pages.
|
|
Porferio Almerino Jr., Marilou Martinez, Rogelio Sala Jr., Kent Maningo, Lourdes Garciano, Christine Catyong, Marvin Guinocor, Gerly Alcantara, John de Vera, Veronica Calasang, Randy Mangubat, Larry Peconcillo Jr., Emerson Peteros, Charldy Wenceslao, Rica Villarosa, Lanndon Ocampo.
© 2024.
23 pages.
|
|
Porntip Junsang, Chorkaew Jaturanonda, Teeradej Wuttipornpun, Mayurachat Watcharejyothin.
© 2023.
25 pages.
|
|
Supanat Sukviboon, Pisal Yenradee.
© 2023.
23 pages.
|
|
|