Abstract
In this chapter, we describe the basis of Feature Models (FMs) using graphical as well as textual representations. We introduce a smartwatch FM that will be used as a working example for this and later chapters. Based on this example, we describe feature modelling extensions using cardinalities and attributes. In the following,we showhowFMs can be translated into a formal representation (constraint satisfaction problems and SAT problems) and introduce corresponding definitions of a FM configuration task and a corresponding FM configuration (also known as configuration, product, or solution). Finally, we discuss example machine learning (ML) approaches that can be applied in the context of feature modelling tasks.
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Felfernig, A., Falkner, A., Benavides, D. (2024). Feature Modelling. In: Feature Models. SpringerBriefs in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-031-61874-1_2
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DOI: https://doi.org/10.1007/978-3-031-61874-1_2
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Online ISBN: 978-3-031-61874-1
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