ACM Transactions on Database Systems (TODS)
Design and use of software architectures: adopting and evolving a product-line approach
Design and use of software architectures: adopting and evolving a product-line approach
FORM: A feature-oriented reuse method with domain-specific reference architectures
Annals of Software Engineering
The DLV system for knowledge representation and reasoning
ACM Transactions on Computational Logic (TOCL)
Feature Diagrams: A Survey and a Formal Semantics
RE '06 Proceedings of the 14th IEEE International Requirements Engineering Conference
SPLC '08 Proceedings of the 2008 12th International Software Product Line Conference
Identifying and Exploiting the Similarities between Rationale Management and Variability Management
SPLC '08 Proceedings of the 2008 12th International Software Product Line Conference
Relating requirements and feature configurations: a systematic approach
Proceedings of the 13th International Software Product Line Conference
A goal-based framework for contextual requirements modeling and analysis
Requirements Engineering
Usage context as key driver for feature selection
SPLC'10 Proceedings of the 14th international conference on Software product lines: going beyond
Automated reasoning on feature models
CAiSE'05 Proceedings of the 17th international conference on Advanced Information Systems Engineering
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An important activity to maximize Business/IT alignment is selecting a software configuration that fits a given context. Feature models represent the space of software configurations in terms of distinguished characteristics (features). However, they fall short in representing the effect of context on the adoptability and operability of features and, thus, of configurations. Capturing this effect helps to minimize the dependency on analysts and domain experts when deriving a software for a given business and IT environment. In this paper, we propose contextual feature models as a means to explicitly represent and reason about the interplay between the variability of both features and context. We devise a formal framework and automated analyses which enable to systematically derive products aligned with an organizational context. We also propose FM-Context, a support tool for modeling and analysis.