@ARTICLE{Dhungana2011,
  author = {Deepak Dhungana and Paul Grünbacher and Rick Rabiser},
  title = {The DOPLER meta-tool for decision-oriented variability modeling:
	a multiple case study},
  journal = {Automated Software Engineering},
  year = {2011},
  volume = {18},
  pages = {77-114},
  number = {1},
  abstract = {The variability of a product line is typically defined in models.
	However, many existing variability modeling approaches are rigid
	and dont allow sufficient domain-specific adaptations. We have
	thus been developing a flexible and extensible approach for defining
	product line variability models. Its main purposes are to guide stakeholders
	through product derivation and to automatically generate product
	configurations. Our approach is supported by the DOPLER (Decision-Oriented
	Product Line Engineering for effective Reuse) meta-tool that allows
	modelers to specify the types of reusable assets, their attributes,
	and dependencies for their specific system and context. The aim of
	this paper is to investigate the suitability of our approach for
	different domains. More specifically, we explored two research questions
	regarding the implementation of variability and the utility of DOPLER
	for variability modeling in different domains. We conducted a multiple
	case study consisting of four cases in the domains of industrial
	automation systems and business software. In each of these case studies
	we analyzed variability implementation techniques. Experts from our
	industry partners then developed domain-specific meta-models, tool
	extensions, and variability models for their product lines using
	DOPLER. The four cases demonstrate the flexibility of the DOPLER
	approach and the extensibility and adaptability of the supporting
	meta tool.},
  doi = {10.1007/s10515-010-0076-6},
  keywords = {CD Lab ASE}
}