Article
Towards fast metamodel evolution in LiquidML
Author/s | Robles Luna, Esteban
Rossi, Gustavo Rivero, José Matías Domínguez Mayo, Francisco José García García, Julián Alberto Escalona Cuaresma, María José |
Department | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Publication Date | 2017 |
Deposit Date | 2022-05-13 |
Published in |
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Abstract | The software industry is applying Model-driven development approaches due to a core set of benefits, such
as raising the level of abstraction and reducing coding errors. However, their underlying modeling languages
tend ... The software industry is applying Model-driven development approaches due to a core set of benefits, such as raising the level of abstraction and reducing coding errors. However, their underlying modeling languages tend to be quite static, making their evolution hard, specifically when the corresponding metamodel does not support primitives and/or functionalities required in specific business domains. This paper presents an extension to the LiquidML language to support fast metamodel evolution by allowing experts to abstract new language concepts from primitives while supporting automatic tool evolution and zero application downtime. To probe our claims, we evaluate the evolutionary capabilities of existing modeling languages and LiquidML in a real world language extension. |
Funding agencies | Ministerio de Economía y Competitividad (MINECO). España |
Project ID. | TIN2016-76956-C3-2-R (POLOLAS)
TIN2015-71938-REDT |
Citation | Robles Luna, E., Rossi, G., Rivero, J.M., Domínguez Mayo, F.J., García García, J.A. y Escalona Cuaresma, M.J. (2017). Towards fast metamodel evolution in LiquidML. Journal of Web Engineering, 16 (3-4), 183-211. |
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