[en] The myriads of smart phones around the globe gave rise to a vast proliferation of mobile applications. These applications target an increasing number of user profiles and tasks. In this context, Android is a leading technology for their development and on-line markets are the main means for their distribution. In this paper we motivate, from two perspectives, the mining of these markets with the objective to identify families of apps variants in the wild. The first perspective is related to research activities where building realistic case studies for evaluating extractive SPL adoption techniques are needed. The second is related to a large- scale, world-wide and time-aware study of reuse practice in an industry which is now flourishing among all others within the software engineering community. This study is relevant to assess potential for SPLE practices adoption. We present initial implementations of the mining process and we discuss analyses of variant families.
Disciplines :
Sciences informatiques
Auteur, co-auteur :
LI, Li ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
MARTINEZ, Jabier ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
KLEIN, Jacques ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Computer Science and Communications Research Unit (CSC)
LE TRAON, Yves ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
Mining Families of Android Applications for Extractive SPL Adoption
Date de publication/diffusion :
2016
Nom de la manifestation :
The 20th International Systems and Software Product Line Conference (SPLC 2016)
Date de la manifestation :
from 19-09-2016 to 23-09-2016
Manifestation à portée :
International
Titre de l'ouvrage principal :
The 20th International Systems and Software Product Line Conference (SPLC 2016)
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