TY - GEN
T1 - GreenHub Farmer
T2 - 16th IEEE/ACM International Conference on Mining Software Repositories, MSR 2019
AU - Matalonga, Hugo
AU - Cabral, Bruno
AU - Castor, Fernando
AU - Couto, Marco
AU - Pereira, Rui
AU - De Sousa, Simao Melo
AU - Fernandes, Joao Paulo
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/5
Y1 - 2019/5
N2 - As mobile devices are supporting more and more of our daily activities, it is vital to widen their battery up-time as much as possible. In fact, according to the Wall Street Journal, 9/10 users suffer from low battery anxiety. The goal of our work is to understand how Android usage, apps, operating systems, hardware and user habits influence battery lifespan. Our strategy is to collect anonymous raw data from devices all over the world, through a mobile app, build and analyze a large-scale dataset containing real-world, day-to-day data, representative of user practices. So far, the dataset we collected includes 12 million+ (anonymous) data samples, across 900+ device brands and 5.000+ models. And, it keeps growing. The data we collect, which is publicly available and by different channels, is sufficiently heterogeneous for supporting studies with a wide range of focuses and research goals, thus opening the opportunity to inform and reshape user habits, and even influence the development of both hardware and software for mobile devices.
AB - As mobile devices are supporting more and more of our daily activities, it is vital to widen their battery up-time as much as possible. In fact, according to the Wall Street Journal, 9/10 users suffer from low battery anxiety. The goal of our work is to understand how Android usage, apps, operating systems, hardware and user habits influence battery lifespan. Our strategy is to collect anonymous raw data from devices all over the world, through a mobile app, build and analyze a large-scale dataset containing real-world, day-to-day data, representative of user practices. So far, the dataset we collected includes 12 million+ (anonymous) data samples, across 900+ device brands and 5.000+ models. And, it keeps growing. The data we collect, which is publicly available and by different channels, is sufficiently heterogeneous for supporting studies with a wide range of focuses and research goals, thus opening the opportunity to inform and reshape user habits, and even influence the development of both hardware and software for mobile devices.
KW - Android
KW - Data mining
KW - Energy efficiency
KW - Green software
UR - http://www.scopus.com/inward/record.url?scp=85072339967&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85072339967&partnerID=8YFLogxK
U2 - 10.1109/MSR.2019.00034
DO - 10.1109/MSR.2019.00034
M3 - Conference contribution
AN - SCOPUS:85072339967
T3 - IEEE International Working Conference on Mining Software Repositories
SP - 171
EP - 175
BT - Proceedings - 2019 IEEE/ACM 16th International Conference on Mining Software Repositories, MSR 2019
PB - IEEE Computer Society
Y2 - 26 May 2019 through 27 May 2019
ER -