Mastering Software Variability with FeatureIDE

Autor: Jens Meinicke, Thomas Thüm, Reimar Schröter, Fabian Benduhn, Thomas Leich, Gunter Saake

Jazyk:

Vazba: Pevná

Vydavatel: Springer International Publishing AG

Dostupnost: Skladem u dodavatele

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1 455 Kč

This book is a self-contained, practical introduction how to use FeatureIDE for modeling and impleme...

Informace o knize

Autor

Jens Meinicke, Thomas Thüm, Reimar Schröter, Fabian Benduhn, Thomas Leich, Gunter Saake

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2017

Stránek

243

EAN

9783319614427

ISBN

3319614428

Enbook ID

16335821

Vydavatel

Springer International Publishing AG

Hmotnost

649

Rozměry

155 x 235 x 19

Kompletní popis

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.

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Mastering Software Variability with FeatureIDE

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