Clone-based variability management in the android ecosystem
Paper i proceeding, 2018

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) 72.7% 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.

App families

software ecosystems

mobile apps

software variants

software reuse

Github forks

Författare

John Businge

Mbarara University of Science & Technology

Moses Openja

Mbarara University of Science & Technology

Sarah Nadi

Makerere University

Engineer Bainomugisha

University of Alberta

Thorsten Berger

Göteborgs universitet

Chalmers, Data- och informationsteknik, Software Engineering, Software Engineering for Cyber Psysical Systems

Proceedings - 2018 IEEE International Conference on Software Maintenance and Evolution, ICSME 2018

625-634 8530075

34th IEEE International Conference on Software Maintenance and Evolution, ICSME 2018
Madrid, Spain,

Ämneskategorier

Företagsekonomi

Programvaruteknik

Systemvetenskap, informationssystem och informatik med samhällsvetenskaplig inriktning

DOI

10.1109/ICSME.2018.00072

Mer information

Senast uppdaterat

2018-12-21