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Cited by 107 publications
(72 citation statements)
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References 13 publications
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“…They rely on a set of feature diagrams that represent the product line, usage context, qualities, and technical constraints. Similarly, Hartmann and Trew [8] complement feature diagrams with a context variability model, so to support multiple product lines. The two models are linked via constraints (the context constrains applicable features).…”
Section: Related Workmentioning
confidence: 99%
“…They rely on a set of feature diagrams that represent the product line, usage context, qualities, and technical constraints. Similarly, Hartmann and Trew [8] complement feature diagrams with a context variability model, so to support multiple product lines. The two models are linked via constraints (the context constrains applicable features).…”
Section: Related Workmentioning
confidence: 99%
“…In [8], Hartmann and Trew dealt with multiple product lines and identified several compositional issues, especially the significance of the merging activity. Recently, Hartmann et al propose a Supplier Independent Feature Model (SIFM) which contains the "super-set of the features from all the FMs of suppliers" [14], corresponding to property (M 2 ) in union mode.…”
Section: Related Workmentioning
confidence: 99%
“…Applying separation of concerns principles and providing support for modularising and composing feature models can improve scalability. Yet a study of the literature about SPL engineering demonstrates that providing automated support for composing feature models still remains an open challenge [7,8,5,9,10]. In previous work [11], we designed a set of composition operators for feature models and defined semantic properties that must be preserved during composition.…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, end-users are not used to selecting features from a complex feature tree; it does not reflect their way of thinking and does not support creativity. Hartman et al [7] have introduced the concept of a "Context Variability model", which contains the primary drivers for variation, e.g. different geographic regions.…”
Section: Related Workmentioning
confidence: 99%