Abstract
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 largescale, 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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 20th International Systems and Software Product Line Conference, SPLC 2016 |
| Editors | Hong Mei, Christoph Elsner, Antonio Ruiz Cortés, Andrzej Wąsowski, Jun Wei, Li Zhang |
| Place of Publication | New York NY USA |
| Publisher | Association for Computing Machinery (ACM) |
| Pages | 271-275 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781450340502 |
| DOIs | |
| Publication status | Published - 2016 |
| Externally published | Yes |
| Event | International Software Product Line Conference 2016 - Beijing Friendship Hotel, Beijing, China Duration: 19 Sep 2016 → 23 Sep 2016 Conference number: 20th http://splc2016.net/ |
Conference
| Conference | International Software Product Line Conference 2016 |
|---|---|
| Abbreviated title | SPLC 2016 |
| Country | China |
| City | Beijing |
| Period | 19/09/16 → 23/09/16 |
| Internet address |
Keywords
- Android
- AppVariants
- Mining Software Repositories
- Reverse Engineering
- Software Product Line Engineering
Cite this
}
Mining families of Android applications for extractive SPL adoption. / Li, Li; Martinez, Jabier; Ziadi, Tewfik; Bissyandé, Tegawendé F.; Klein, Jacques; Traon, Yves Le.
Proceedings - 20th International Systems and Software Product Line Conference, SPLC 2016. ed. / Hong Mei; Christoph Elsner; Antonio Ruiz Cortés; Andrzej Wąsowski; Jun Wei; Li Zhang. New York NY USA : Association for Computing Machinery (ACM), 2016. p. 271-275.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research
TY - GEN
T1 - Mining families of Android applications for extractive SPL adoption
AU - Li, Li
AU - Martinez, Jabier
AU - Ziadi, Tewfik
AU - Bissyandé, Tegawendé F.
AU - Klein, Jacques
AU - Traon, Yves Le
PY - 2016
Y1 - 2016
N2 - 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 largescale, 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.
AB - 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 largescale, 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.
KW - Android
KW - AppVariants
KW - Mining Software Repositories
KW - Reverse Engineering
KW - Software Product Line Engineering
UR - http://www.scopus.com/inward/record.url?scp=84991628275&partnerID=8YFLogxK
U2 - 10.1145/2934466.2946047
DO - 10.1145/2934466.2946047
M3 - Conference Paper
AN - SCOPUS:84991628275
SP - 271
EP - 275
BT - Proceedings - 20th International Systems and Software Product Line Conference, SPLC 2016
A2 - Mei, Hong
A2 - Elsner, Christoph
A2 - Ruiz Cortés, Antonio
A2 - Wąsowski, Andrzej
A2 - Wei, Jun
A2 - Zhang, Li
PB - Association for Computing Machinery (ACM)
CY - New York NY USA
ER -