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Skip to Search Results- 4Software energy consumption
- 2Machine learning
- 1Android
- 1App development
- 1Automatic software testing
- 1Energy consumption
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2015
Aggarwal, K., Hindle, Abram, Stroulia, E.
Change-impact analysis, namely “identifying the potential consequences of a change” is an important and well studied problem in software evolution. Any change may potentially affect an application's behaviour, performance, and energy consumption profile. Our previous work demonstrated that...
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2018
Chowdhury, S., Borle, S., Romansky, S., Hindle, Abram
Software energy consumption is a performance related non-functional requirement that complicates building software on mobile devices today. Energy hogging applications (apps) are a liability to both the end-user and software developer. Measuring software energy consumption is non-trivial,...
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The Power of System Call Traces: Predicting the Software Energy Consumption Impact of Changes
Download2014
Aggarwal, K., Chenlei, Z., Campbell, J., Hindle, Abram, Stroulia, E.
Battery is a critical resource for smartphones. Software developers as the builders and maintainers of applications, are responsible for updating and deploying energy efficient applications to end users. Unfortunately, the impact of software change on energy consumption is still unclear....
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What can Android mobile app developers do about the energy consumption of machine learning?
Download2018
McIntosh, A., Hassan, S., Hindle, Abram
Machine learning is a popular method of learning functions from data to represent and to classify sensor inputs, multimedia, emails, and calendar events. Smartphone applications have been integrating more and more intelligence in the form of machine learning. Machine learning functionality now...