Predicting the energy consumption level of Java classes in Android apps

Author:

Iannone Emanuele1,De Stefano Manuel1,Pecorelli Fabiano2,De Lucia Andrea1

Affiliation:

1. University of Salerno, Italy

2. Tampere University, Finland

Publisher

ACM

Reference42 articles.

1. Karan Aggarwal , Chenlei Zhang , Joshua Charles Campbell , Abram Hindle , and Eleni Stroulia . 2014 . The Power of System Call Traces: Predicting the Software Energy Consumption Impact of Changes . In Proceedings of 24th Annual International Conference on Computer Science and Software Engineering (Markham , Ontario, Canada) (CASCON '14). IBM Corp., USA, 219--233. Karan Aggarwal, Chenlei Zhang, Joshua Charles Campbell, Abram Hindle, and Eleni Stroulia. 2014. The Power of System Call Traces: Predicting the Software Energy Consumption Impact of Changes. In Proceedings of 24th Annual International Conference on Computer Science and Software Engineering (Markham, Ontario, Canada) (CASCON '14). IBM Corp., USA, 219--233.

2. Multinomial logistic regression algorithm

3. L. Breiman J. Friedman C.J. Stone and R.A. Olshen. 1984. Classification and Regression Trees. Taylor & Francis. https://books.google.it/books?id=JwQx-WOmSyQC L. Breiman J. Friedman C.J. Stone and R.A. Olshen. 1984. Classification and Regression Trees . Taylor & Francis. https://books.google.it/books?id=JwQx-WOmSyQC

4. Exploring the Energy Consumption of Data Sorting Algorithms in Embedded and Mobile Environments

5. Investigating the energy impact of Android smells

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