<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Product Derivation represents one of the main challenges that Software Product Line (SPL) faces. Deriving individual products from shared software assets is a time-consuming and an expensive activity. In this paper, we (1) present an MDE approach for engineering SPL and (2) propose to leverage model-to-model transformations (MMT) and model-to-text (MTT) transformations for supporting both domain engineering and application engineering processes. In this work, we use ATL as a model-to-model transformation language and Acceleo as a model-to-text transformation language.The proposed approach is discussed with e-Health product line applications.</p></abstract>

Product Derivation represents one of the main challenges that Software Product Line (SPL) faces. Deriving individual products from shared software assets is a time-consuming and an expensive activity. In this paper, we (1) present an MDE approach for engineering SPL and (2) propose to leverage model-to-model transformations (MMT) and model-to-text (MTT) transformations for supporting both domain engineering and application engineering processes. In this work, we use ATL as a model-to-model transformation language and Acceleo as a model-to-text transformation language.The proposed approach is discussed with e-Health product line applications.

On the use of model transformation for the automation of product derivation process in SPL

Acta Universitatis Sapientiae, Informatica

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Product Derivation represents one of the main challenges that Software Product Line (SPL) faces. Deriving individual products from shared software assets is a...

On the use of model transformation for the automation of product derivation process in SPL

Online veröffentlicht: 29. Aug. 2018

Seitenbereich: 43 - 57

Eingereicht: 14. Jan. 2018

DOI: https://doi.org/10.2478/ausi-2018-0003

Schlüsselwörter
product derivation, software product lines, model-driven engineering, domain specific language

© 2018 Nesrine Lahiani et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

On the use of model transformation for the automation of product derivation process in SPL

Online veröffentlicht: 29. Aug. 2018

Seitenbereich: 43 - 57

Eingereicht: 14. Jan. 2018

DOI: https://doi.org/10.2478/ausi-2018-0003

Schlüsselwörterproduct derivation, software product lines, model-driven engineering, domain specific language

© 2018 Nesrine Lahiani et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Schlüsselwörter
product derivation, software product lines, model-driven engineering, domain specific language