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Clone-Based Variability Management in the Android Ecosystem

Conference paper
Authors J. Businge
M. Openja
S. Nadi
E. Bainomugisha
Thorsten Berger
Published in Proceedings-IEEE International Conference on Software Maintenance
ISBN 978-1-5386-7870-1
Publication year 2018
Published at Department of Computer Science and Engineering (GU)
Language en
Links dx.doi.org/10.1109/icsme.2018.00072
Keywords software variants, mobile apps, app families, Android, software ecosystems
Subject categories Software Engineering

Abstract

Mobile app developers often need to create variants to account for different customer segments, payment models or functionalities. A common strategy is to clone (or fork) an existing app and then adapt it to new requirements. This form of reuse has been enhanced with the advent of social-coding platforms such as Github, cultivating a more systematic reuse. Different facilities, such as forks, pull requests, and cross-project traceability support clone-based development. Unfortunately, even though, many apps are known to be maintained in many variants, little is known about how practitioners manage variants of mobile apps. We present a study that explores clone-based reuse practices for open-source Android apps. We identified and analyzed families of apps that are maintained together and that exist both on the official app store (Google Play) as well as on Github, allowing us to analyze reuse practices in depth. We mined both repositories to identify app families and to study their characteristics, including their variabilities as well as code-propagation practices and maintainer relationships. We found that, indeed, app families exist and that forked app variants fall into the following categories: (i) re-branding and simple customizations, (ii) feature extension, (iii) supporting of the mainline app, and (iv) implementation of different, but related features. Other notable characteristic of the app families we discovered include: (i) 73% of the app families did not perform any form of code propagation, and (ii) 74% of the app families we studied do not have common maintainers.

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