Mastering Software Variability with FeatureIDE

This book is a self-contained, practical introduction how to use FeatureIDE for modeling and implementing variable systems. In particular, readers learn how to analyze domains using feature models, specify requirements in form of configurations, and how to generate code based on conditional compilat...

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Bibliographic Details
Main Authors Meinicke, Jens, Thüm, Thomas, Schröter, Reimar, Benduhn, Fabian, Leich, Thomas, Saake, Gunter
Format eBook
LanguageEnglish
Published Cham Springer International Publishing AG 2017
Springer International Publishing
Springer
Edition1
Subjects
Online AccessGet full text
ISBN3319614428
9783319614427
DOI10.1007/978-3-319-61443-4

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Summary:This book is a self-contained, practical introduction how to use FeatureIDE for modeling and implementing variable systems. In particular, readers learn how to analyze domains using feature models, specify requirements in form of configurations, and how to generate code based on conditional compilation and feature-oriented programming. Given the interactive style of the book, readers can directly try out the open-source development environment. All code examples are available in the standard distribution on GitHub and can immediately been used for individual modifications. Each part of the book is presented as a step-by-step tutorial and additionally illustrated using an ongoing example of elevator control software written in Java.Written by the core development team of FeatureIDE, this book is suitable for students using a tool for deepening the theoretical foundations of variability modeling and implementation, and as a reference for practitioners needing a stable and scalable tool for industrial applications. FeatureIDE is the most used open-source tool for feature modeling and has been continuously improved since 2004. The success of FeatureIDE is due to being a vehicle for cutting-edge product-line research by still providing an easy-to-use and seamless integration into Eclipse.
ISBN:3319614428
9783319614427
DOI:10.1007/978-3-319-61443-4