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Feature Models : AI-Driven Design, Analysis and Applications

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This open access book provides a basic introduction to feature modelling and analysis as well as to the integration of AI methods with feature modelling. It is intended as an introduction for researchers and practitioners who are new to the field and will also serve as a state-of-the-art reference to this audience. While focusing on the AI perspective, the book covers the topics of feature modelling (including languages and semantics), feature model analysis, and interacting with feature model configurators. These topics are discussed along the AI areas of knowledge representation and reasoning, explainable AI, and machine learning.

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Detail Information

Series Title

SpringerBriefs in Computer Science (BRIEFSCOMPUTER)

Call Number

001 FEL f

Publisher

Cham : Springer Cham., 2024

Collation

X, 122

Language

English

ISBN/ISSN

978-3-031-61874-1

Classification

001

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

-

Subject(s)

Artificial Intelligence

Specific Detail Info

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Statement of Responsibility

Alexander Felfernig, Andreas Falkner, David Benavides

Other Information

Cataloger

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Source

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Validator

Maya

Digital Object Identifier (DOI)

https://doi.org/10.1007/978-3-031-61874-1

Journal Volume

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Journal Issue

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Subtitle

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Parallel Title

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