Trace-Based Propagation of Variability Annotations
Zusammenfassung
This contribution presents a mechanism to extend single- to multi-variant model transformations based on traces created during the transformation. The approach tackles a problem typically occurring in model-driven software product line engineering. Models are the key artifacts of such product lines and annotated with variability annotations in the case an annotative approach towards product line engineering is followed. Although model transformations are well-developed by now and a key facility when developing model-driven software, they are not capable to handle the variability annotations of product lines. Consequently, they transform modeled artifacts of a product line but ignore their annotations. We propose to propagate variability annotations a posteriori, using the traces of transformation execution. This approach is generic and may be applied to heterogeneous tools.
- Vollständige Referenz
- BibTeX
Westfechtel, B. & Greiner, S.,
(2020).
Trace-Based Propagation of Variability Annotations.
In:
Felderer, M., Hasselbring, W., Rabiser, R. & Jung, R.
(Hrsg.),
Software Engineering 2020.
Bonn:
Gesellschaft für Informatik e.V.
(S. 59--60).
DOI: 1018420/SE2020_16
@inproceedings{mci/Westfechtel2020,
author = {Westfechtel, Bernhard AND Greiner, Sandra},
title = {Trace-Based Propagation of Variability Annotations},
booktitle = {Software Engineering 2020},
year = {2020},
editor = {Felderer, Michael AND Hasselbring, Wilhelm AND Rabiser, Rick AND Jung, Reiner} ,
pages = { 59--60 } ,
doi = { 1018420/SE2020_16 },
publisher = {Gesellschaft für Informatik e.V},
address = {Bonn}
}
author = {Westfechtel, Bernhard AND Greiner, Sandra},
title = {Trace-Based Propagation of Variability Annotations},
booktitle = {Software Engineering 2020},
year = {2020},
editor = {Felderer, Michael AND Hasselbring, Wilhelm AND Rabiser, Rick AND Jung, Reiner} ,
pages = { 59--60 } ,
doi = { 1018420/SE2020_16 },
publisher = {Gesellschaft für Informatik e.V},
address = {Bonn}
}
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Mehr Information
DOI: 1018420/SE2020_16
ISBN: 978-3-88579-694-7
ISSN: 1617-5468
Datum: 2020
Sprache:
(en)
(en)
Typ: Text/Conference Paper

