Feature Models / Alexander Felfernig  

Public ISBD Titre : Feature Models : AI-Driven Design, Analysis and Applications Type de document : document électronique Auteurs : Alexander Felfernig, Auteur ; Andreas Falkner, Auteur ; David Benavides, Auteur Editeur : Berlin [Germany] : Springer Nature Limited Année de publication : 2024 Importance : 122 p. Présentation : ill. ISBN/ISSN/EAN : 978-3-031-61874-1 Langues : Anglais (eng) Tags : Feature Modeling  Artificial Intelligence  Software Product Lines  Automated Analysis  Generative Design  Configuration Management  Machine Learning  Variability Management  Constraint Satisfaction Index. décimale : 006 Méthodes informatiques particulières Résumé : 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. En ligne : https://doi.org/10.1007/978-3-031-61874-1 Feature Models : AI-Driven Design, Analysis and Applications [document électronique] / Alexander Felfernig, Auteur ; Andreas Falkner, Auteur ; David Benavides, Auteur . - Berlin (Germany) : Springer Nature Limited, 2024 . - 122 p. : ill. ISBN : 978-3-031-61874-1 Langues : Anglais (eng) Tags : Feature Modeling  Artificial Intelligence  Software Product Lines  Automated Analysis  Generative Design  Configuration Management  Machine Learning  Variability Management  Constraint Satisfaction Index. décimale : 006 Méthodes informatiques particulières Résumé : 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. En ligne : https://doi.org/10.1007/978-3-031-61874-1

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Code-barres	Cote	Support	Localisation	Section	Disponibilité
9783031618741	006 FEL	E-Book	En Ligne	Informatique, Savoir & systèmes	Disponible

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