Domain-specific Adaptations of Product Line Variability Modeling (bibtex)
by Deepak Dhungana, Paul Grünbacher and 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:
Deepak Dhungana, Paul Grünbacher and Rick Rabiser: Domain-specific Adaptations of Product Line Variability Modeling, 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}
}
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