Published January 5, 2022
| Version v1
Dataset
Open
Full results for paper "An Empirical Study on the Impact of Deep Parameters on Mobile App Energy Usage" (SANER 2022)
Authors/Creators
- 1. Purdue University
- 2. IIT Delhi
Description
This directory contains survey and experiment results for the paper "An Empirical Study on the Impact of Deep Parameters on Mobile App Energy Usage" (SANER 2022), along with the survey instrument. Please refer to the README for more details.
The corresponding code for the experiments can be found at https://github.com/qiangxu1996/literal-mutator.
Files
mobile-deep-parameter-results.zip
Files
(2.0 MB)
| Name | Size | Download all |
|---|---|---|
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md5:d534ada911cf3e85daa8d48793c0aed5
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2.0 MB | Preview Download |
Additional details
Related works
- Is supplement to
- Preprint: arXiv:2009.12156 (arXiv)
Funding
- U.S. National Science Foundation
- CSR: Small: Extending Smartphone Battery Life via Prescriptive Energy Profiling 1718854