Feature Models : AI-Driven Design, Analysis and Applications / by Alexander Felfernig, Andreas Falkner, David Benavides.

Intro -- Preface -- Acknowledgements -- Contents -- Chapter 1 Introduction -- 1.1 Motivation for the Book -- 1.2 A Short History of Feature Models -- 1.3 The Role of AI in Feature Models -- 1.4 Topics Related to Feature Models -- 1.5 Benefits of Feature Models and Configuration -- 1.6 Book Overview -- References -- Chapter 2 Feature Modelling -- 2.1 Features, Products, and Configurations -- 2.2 Feature Modelling in the Engineering Process -- 2.3 Feature Model Basics -- 2.4 Feature Model Extensions -- 2.4.1 Cardinality-based Feature Models -- 2.4.2 Attribute-based Feature Models -- 2.5 Feature Model Semantics -- 2.6 Mapping Feature Models to Logic -- 2.6.1 Constraint programming mapping -- 2.6.2 SAT based mapping -- 2.6.3 CSP example mapping -- 2.7 Textual Languages for Feature Models -- 2.8 Further Feature Modelling Aspects -- 2.8.1 Product Line Scoping -- 2.8.2 Configuration Space Learning -- 2.8.3 Knowledge Extraction from Data -- 2.9 Discussion -- References -- Chapter 3 Analysis of Feature Models -- 3.1 Feature Model Analysis Process -- 3.1.1 Analysis OperationsWithout Solver Support -- 3.1.2 Analysis OperationsWith Solver Support -- 3.2 Diagnosing Inconsistent Constraint Sets -- 3.2.1 Identifying Conflict Sets in Non-Satisfiable Feature Models -- 3.2.2 Identifying Conflict Sets in User Requirements -- 3.3 Redundancy Detection in Feature Models -- 3.4 Feature Model Testing and Debugging -- 3.5 Machine Learning for Conflict Detection and Diagnosis -- 3.6 Discussion -- References -- Chapter 4 Interacting with Feature Model Configurators -- 4.1 Feature Model Configuration -- 4.2 Recommending Features -- 4.3 Explaining Configurations -- 4.4 Predicting Relevant Conflict Resolutions -- 4.5 Reconfiguration -- 4.6 Discussion -- References -- Chapter 5 Tools and Applications -- 5.1 Tool and Application Landscape -- 5.2 Feature Modelling Tools.

5.3 Feature Model Analysis: Tool Support -- 5.4 Feature Model Configurator Applications -- 5.5 Discussion -- References -- Index.

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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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2025. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.