Decision-Oriented Modeling of Product Line Architectures (bibtex)
by Deepak Dhungana, Rick Rabiser, Paul Grünbacher
Abstract:
Understanding and modeling architectural variability is fundamental in product line engineering. Various extensions have been proposed to architecture description languages (ADLs) to deal with variability. Although these extensions are useful, we argue in this paper that decisions need to be treated as first-class citizens for modeling architectural variability. Decisions that have to be taken by different stakeholders during product derivation are an essential source to understand the variability at different levels (e.g., features, architecture, and implementation). We outline a decision-oriented approach to variability modeling and illustrate it with an example from our ongoing research collaboration with Siemens VAI.
Reference:
Decision-Oriented Modeling of Product Line Architectures (Deepak Dhungana, Rick Rabiser, Paul Grünbacher), In Proceedings 6th Working IEEE/IFIP Conference on Software Architecture, WICSA 2007, January 6-9, Mumbai, Maharashtra, India, IEEE Computer Society, 2007.
Bibtex Entry:
@Conference{Dhungana2007a,
  author = {Deepak Dhungana and Rick Rabiser and Paul Grünbacher},
  title = {Decision-Oriented Modeling of Product Line Architectures},
  booktitle = {Proceedings 6th Working IEEE/IFIP Conference on Software Architecture,
	WICSA 2007, January 6-9, Mumbai, Maharashtra, India},
  year = {2007},
  pages = {22},
  publisher = {IEEE Computer Society},
  abstract = {Understanding and modeling architectural variability is fundamental
	in product line engineering. Various extensions have been proposed
	to architecture description languages (ADLs) to deal with variability.
	Although these extensions are useful, we argue in this paper that
	decisions need to be treated as first-class citizens for modeling
	architectural variability. Decisions that have to be taken by different
	stakeholders during product derivation are an essential source to
	understand the variability at different levels (e.g., features, architecture,
	and implementation). We outline a decision-oriented approach to variability
	modeling and illustrate it with an example from our ongoing research
	collaboration with Siemens VAI.},
  doi = {10.1109/WICSA.2007.21},
  isbn = {978-0-7695-2744-4},
  keywords = {CD Lab ASE}
}
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