BXtendDSL: A layered framework for bidirectional model transformations combining a declarative and an imperative language (Summary)
Abstract
This summary is based on an article which appeared in 2022 in The Journal of Systems & Software [BBW22]. Bidirectional transformations have been studied in a wide range of application domains. In modeldriven software engineering, they are required for roundtrip engineering processes. We present a pragmatic approach to engineering bidirectional model transformations that assists transformation developers by domain-specific languages, frameworks, and code generators. A thorough evaluation demonstrates conciseness, expressiveness, and scalability of our approach.
- Citation
- BibTeX
Buchmann, T., Bank, M. & Westfechtel, B.,
(2023).
BXtendDSL: A layered framework for bidirectional model transformations combining a declarative and an imperative language (Summary).
In:
Engels, G., Hebig, R. & Tichy, M.
(Hrsg.),
Software Engineering 2023.
Bonn:
Gesellschaft für Informatik e.V..
(S. 43-44).
@inproceedings{mci/Buchmann2023,
author = {Buchmann, Thomas AND Bank, Matthias AND Westfechtel, Bernhard},
title = {BXtendDSL: A layered framework for bidirectional model transformations combining a declarative and an imperative language (Summary)},
booktitle = {Software Engineering 2023},
year = {2023},
editor = {Engels, Gregor AND Hebig, Regina AND Tichy, Matthias} ,
pages = { 43-44 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
author = {Buchmann, Thomas AND Bank, Matthias AND Westfechtel, Bernhard},
title = {BXtendDSL: A layered framework for bidirectional model transformations combining a declarative and an imperative language (Summary)},
booktitle = {Software Engineering 2023},
year = {2023},
editor = {Engels, Gregor AND Hebig, Regina AND Tichy, Matthias} ,
pages = { 43-44 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
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More Info
ISBN: 978-3-88579-726-5
ISSN: 1617-5468
xmlui.MetaDataDisplay.field.date: 2023
Language: (en)
Content Type: Text/Conference Paper