@article{(Open Science Index):https://publications.waset.org/pdf/10002793,
	  title     = {Towards the Use of Software Product Metrics as an Indicator for Measuring Mobile Applications Power Consumption},
	  author    = {Ching Kin Keong and  Koh Tieng Wei and  Abdul Azim Abd. Ghani and  Khaironi Yatim Sharif},
	  country	= {},
	  institution	= {},
	  abstract     = {Maintaining factory default battery endurance rate
over time in supporting huge amount of running applications on
energy-restricted mobile devices has created a new challenge for
mobile applications developer. While delivering customers’
unlimited expectations, developers are barely aware of efficient use
of energy from the application itself. Thus, developers need a set of
valid energy consumption indicators in assisting them to develop
energy saving applications. In this paper, we present a few software
product metrics that can be used as an indicator to measure energy
consumption of Android-based mobile applications in the early of
design stage. In particular, Trepn Profiler (Power profiling tool for
Qualcomm processor) has used to collect the data of mobile
application power consumption, and then analyzed for the 23
software metrics in this preliminary study. The results show that
McCabe cyclomatic complexity, number of parameters, nested block
depth, number of methods, weighted methods per class, number of
classes, total lines of code and method lines have direct relationship
with power consumption of mobile application.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {9},
	  number    = {11},
	  year      = {2015},
	  pages     = {2325 - 2334},
	  ee        = {https://publications.waset.org/pdf/10002793},
	  url   	= {https://publications.waset.org/vol/107},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 107, 2015},
	}