Deriving Correspondence Relationships to Guide a Multi-view Heterogeneous Composition

Autor:	Dennis Wagelaar, Dirk Deridder, Rubby Casallas, Andrés Yie
Rok vydání:	2010
Předmět:	Theoretical computer science Computer science Modeling language business.industry Model transformation Complex system Task (project management) Code (cryptography) Artificial intelligence Model-driven architecture View model business computer computer.programming_language Abstraction (linguistics)
Zdroj:	Models in Software Engineering ISBN: 9783642122606 MoDELS Workshops
DOI:	10.1007/978-3-642-12261-3_22
Popis:	The use of several view models is a common practice to specify diverse concerns of a complex system. It is advantageous to use appropriate Domain-Specific Modeling Languages, at high-level of abstraction, to specify each concern. To actually produce the running application, it is necessary not only to transform the view-models into code, but also to compose them. We can establish at the high-level correspondence relationships between the concepts in the different concerns, but it is a complex task to compose the models at this level because we face a heterogeneous composition problem. Therefore, our strategy is to independently transform each view model into a common low-level language to perform a homogeneous composition. We create a mechanism to automatically derive correspondence relationships between the generated low-level models. These new correspondences contain the information to guide a homogeneous composition.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::6b2ab33d79a2f9198eac0d5b4118b7f0 https://doi.org/10.1007/978-3-642-12261-3_22 Zobrazit plný text záznamu