Example-driven meta-model development
EntityUAM. Departamento de Ingeniería Informática
PublisherSpringer Berlin Heidelberg
10.1007/s10270-013-0392-ySoftware & Systems Modeling 14.4 (2015): 1323 – 1347
ISSN1619-1366 (print); 1619-1374 (online)
Funded byThis work has been funded by the Spanish Ministry of Economy and Competitivity with project “Go Lite” (TIN2011-24139), and by the R&D programme of Madrid Region with project “eMadrid” (S2009/TIC-1650).
ProjectGobierno de España. TIN2011-24139; Comunidad de Madrid. S2009/TIC-1650/E-MADRID
SubjectsDomain-specific modelling languages; Example-driven modelling; Interactive meta-modelling; Meta-model design exploration; Meta-model induction; Meta-model validation; Meta-modelling; Informática
NoteThe final publication is available at Springer via http://dx.doi.org/10.1007/s10270-013-0392-y
Rights© Springer-Verlag Berlin Heidelberg 2015
The intensive use of models in model-driven engineering (MDE) raises the need to develop meta-models with different aims, such as the construction of textual and visual modelling languages and the specification of source and target ends of model-to-model transformations. While domain experts have the knowledge about the concepts of the domain, they usually lack the skills to build meta-models. Moreover, meta-models typically need to be tailored according to their future usage and specific implementation platform, which demands knowledge available only to engineers with great expertise in specific MDE platforms. These issues hinder a wider adoption of MDE both by domain experts and software engineers. In order to alleviate this situation, we propose an interactive, iterative approach to meta-model construction, enabling the specification of example model fragments by domain experts, with the possibility of using informal drawing tools like Dia or yED. These fragments can be annotated with hints about the intention or needs for certain elements. A meta-model is then automatically induced, which can be refactored in an interactive way, and then compiled into an implementation meta-model using profiles and patterns for different platforms and purposes. Our approach includes the use of a virtual assistant, which provides suggestions for improving the meta-model based on well-known refactorings, and a validation mode, enabling the validation of the meta-model by means of examples.
Google Scholar:López-Fernández, Jesús Juan - Sánchez Cuadrado, Jesús - Guerra Sánchez, Esther - Lara Jaramillo, Juan de
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