02597nam 22005295 450 991086916500332120240629125238.0978303161874110.1007/978-3-031-61874-1(CKB)32609639000041(DE-He213)978-3-031-61874-1(MiAaPQ)EBC31520042(Au-PeEL)EBL31520042(EXLCZ)993260963900004120240629d2024 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierFeature Models AI-Driven Design, Analysis and Applications /by Alexander Felfernig, Andreas Falkner, David Benavides1st ed. 2024.Cham :Springer International Publishing :Imprint: Springer,2024.1 online resource (X, 122 p.) SpringerBriefs in Computer Science,2191-57769783031618734 Preface -- 1) Introduction -- 2) Feature Modelling -- 3) Analysis of Feature Models -- 4) Interacting with Feature Model Configurators -- 5) Tools and Applications .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.SpringerBriefs in Computer Science,2191-5776Software engineeringArtificial intelligenceSoftware EngineeringArtificial IntelligenceSoftware engineering.Artificial intelligence.Software Engineering.Artificial Intelligence.005.1Felfernig Alexanderauthttp://id.loc.gov/vocabulary/relators/aut1060371Falkner Andreasauthttp://id.loc.gov/vocabulary/relators/autBenavides Davidauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQ9910869165003321Feature Models4240432UNINA