The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
A Rigorous Approach for Metamodel Evolution
|
|
Author(s): Claudia Pereira (Universidad Nacional del Centro de la Provincia de Buenos Aires, Argentina), Liliana Favre (Universidad Nacional del Centro de la Provincia de Buenos Aires, Argentina & Comisión de Investigaciones Científicas de la Provincia de Buenos Aires, Argentina)and Liliana Martinez (Universidad Nacional del Centro de la Provincia de Buenos Aires, Argentina)
Copyright: 2014
Pages: 24
Source title:
Advances and Applications in Model-Driven Engineering
Source Author(s)/Editor(s): Vicente García Díaz (University of Oviedo, Spain), Juan Manuel Cueva Lovelle (University of Oviedo, Spain), B. Cristina Pelayo García-Bustelo (University of Oviedo, Spain)and Oscar Sanjuán Martinez (University of Carlos III, Spain)
DOI: 10.4018/978-1-4666-4494-6.ch009
Purchase
|
Abstract
Model-Driven Development (MDD) is an initiative proposed by the Object Management Group (OMG) to model centric software development. It is based on the concepts of models, metamodels, and automatic transformations. Models and metamodels are in constant evolution. Metamodel evolution may cause conforming models to become invalid. Therefore, models must be migrated to maintain conformance to their metamodels. Metamodel evolution and model migration are typically performed manually, which is an error-prone task. In light of this, the authors propose a framework for metamodel evolution and model migration that combine an operator-based approach with refactoring and specification matching techniques. They combine classical metamodeling techniques with formal specifications to reason about transformations, metamodels, and their evolution. The authors describe foundations for MDA-based metamodel evolution that allow extending the functionality of the existing CASE tools in order to improve the MDA-based process quality.
Related Content
|
Babita Srivastava.
© 2024.
21 pages.
|
|
Sakuntala Rao, Shalini Chandra, Dhrupad Mathur.
© 2024.
27 pages.
|
|
Satya Sekhar Venkata Gudimetla, Naveen Tirumalaraju.
© 2024.
24 pages.
|
|
Neeta Baporikar.
© 2024.
23 pages.
|
|
Shankar Subramanian Subramanian, Amritha Subhayan Krishnan, Arumugam Seetharaman.
© 2024.
35 pages.
|
|
Charu Banga, Farhan Ujager.
© 2024.
24 pages.
|
|
Munir Ahmad.
© 2024.
27 pages.
|
|
|