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Feature modelsAI-driven design, analysis and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Feature modelsby Alexander Felfernig, Andreas Falkner, David Benavides.
Reminder of title:	AI-driven design, analysis and applications /
Author:	Felfernig, Alexander.
other author:	Falkner, Andreas.
Published:	Cham :Springer International Publishing :2024.
Description:	x, 122 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Computer softwareDevelopment.
Online resource:	https://doi.org/10.1007/978-3-031-61874-1
ISBN:	9783031618741$q(electronic bk.)

Feature modelsAI-driven design, analysis and applications /
Felfernig, Alexander.

Feature modelsAI-driven design, analysis and applications /[electronic resource] :by Alexander Felfernig, Andreas Falkner, David Benavides. - Cham :Springer International Publishing :2024. - x, 122 p. :ill., digital ;24 cm. - SpringerBriefs in computer science,2191-5776. - SpringerBriefs in computer science..

Preface -- 1) Introduction -- 2) Feature Modelling -- 3) Analysis of Feature Models -- 4) Interacting with Feature Model Configurators -- 5) Tools and Applications.

Open access.

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.

ISBN: 9783031618741$q(electronic bk.)

Standard No.: 10.1007/978-3-031-61874-1doiSubjects--Topical Terms:

184751
Computer software
--Development.

LC Class. No.: QA76.76.D47

Dewey Class. No.: 005.1

Feature modelsAI-driven design, analysis and applications /
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506 $a Open access.
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