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The amount of software running on mobile devices is constantly growing asconsumers and industry purchase more battery powered devices. On the otherhand, tools that provide developers with feed- back on how their softwarechanges affect battery life are not widely available. This work employs GreenMining, the study of the rela- tionship between energy consumption and softwarechangesets, and n-gram language models to evaluate if source code changesetperplex- ity correlates with change in energy consumption. A correlation be-tween perplexity and change in energy consumption would permit the developmentof a tool that predicts the impact a code changeset may have on a softwareapplications energy consumption. The case study results show that there is weakto no correlation between cross en- tropy and change in energy consumption.Therefore, future areas of investigation are proposed.

Investigation of the relationship between code change set n-grams and change in energy consumption