by Deepak Dhungana, Paul Grünbacher, Rick Rabiser
Abstract:
Despite its increasing popularity the widespread adoption of product line engineering is still hampered by a lack of flexible and extensible approaches that can be tailored to deal with diverse organizational specifics such as architectural styles, languages, or modeling notations. Many existing product line approaches focus on process aspects and provide general-purpose modeling approaches. In this paper we present a flexible and extensible variability modeling approach that can be adapted to domain-specific needs. The approach is supported by the meta-tool DecisionKing. The tool treats variability as a prime modeling concept and supports the domain-specific definition of dependencies between model elements. We demonstrate the feasibility of our approach with two case studies in the areas of industrial automation and service-oriented systems.
Reference:
Domain-specific Adaptations of Product Line Variability Modeling (Deepak Dhungana, Paul Grünbacher, Rick Rabiser), In Situational Method Engineering: Fundamentals and Experiences, Proceedings of the IFIP WG 8.1 Working Conference, September 12-14, Geneva, Switzerland (Jolita Ralyté, Sjaak Brinkkemper, Brian Henderson-Sellers, eds.), Springer, volume 244, 2007.
Bibtex Entry:
@Conference{Dhungana2007,
author = {Deepak Dhungana and Paul Grünbacher and Rick Rabiser},
title = {Domain-specific Adaptations of Product Line Variability Modeling},
booktitle = {Situational Method Engineering: Fundamentals and Experiences, Proceedings
of the IFIP WG 8.1 Working Conference, September 12-14, Geneva, Switzerland},
year = {2007},
editor = {Jolita Ralyté and Sjaak Brinkkemper and Brian Henderson-Sellers},
volume = {244},
series = {IFIP},
pages = {238-251},
publisher = {Springer},
abstract = {Despite its increasing popularity the widespread adoption of product
line engineering is still hampered by a lack of flexible and extensible
approaches that can be tailored to deal with diverse organizational
specifics such as architectural styles, languages, or modeling notations.
Many existing product line approaches focus on process aspects and
provide general-purpose modeling approaches. In this paper we present
a flexible and extensible variability modeling approach that can
be adapted to domain-specific needs. The approach is supported by
the meta-tool DecisionKing. The tool treats variability as a prime
modeling concept and supports the domain-specific definition of dependencies
between model elements. We demonstrate the feasibility of our approach
with two case studies in the areas of industrial automation and service-oriented
systems.},
doi = {10.1007/978-0-387-73947-2_19},
isbn = {978-0-387-73946-5},
keywords = {CD Lab ASE},
researchr = {http://researchr.org/publication/DhunganaGR07}
}