E-APK: Energy Pattern Detection in Decompiled Android Applications
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| Title: | E-APK: Energy Pattern Detection in Decompiled Android Applications |
|---|---|
| Authors: | Gregorio, Nelson, orcid:0000-0002-3427-, Fernandes, João, Bispo, João, Medeiros, Sérgio |
| Contributors: | Fernandes, João, Bispo, João, Medeiros, Sérgio |
| Publisher Information: | Zenodo |
| Publication Year: | 2022 |
| Collection: | Zenodo |
| Subject Terms: | code patterns, energy efficiency, static analysis, decompiler, mobile, android, metaprogramming, compilers |
| Description: | E-APK: Energy Pattern Detection In Decompiled Android Applications This repository is a complement to the master's thesis "E-APK: Energy Pattern Detection In Decompiled Android Applications" by Nelson Alexandre Saraiva Gregório and an extension of the published paper [1]. It contains: Setup instructions for all the tools we used Instructions for how to replicate the whole experiment Python notebooks used to analyse the results The raw data collected Energy Pattern literature review Processed dataset Analysis results Inside the zip file are several numbered folders and a README with instructions. [1] N. Gregório, J. Bispo, J. P. Fernandes and S. Q. Medeiros. E-APK: Energy Pattern Detection in Decompiled Android Applications. 26th Brazilian Symposium on Programming Languages, 2022. |
| Document Type: | other/unknown material |
| Language: | English |
| Relation: | https://zenodo.org/communities/specs-feup/; https://zenodo.org/records/7083540; oai:zenodo.org:7083540; https://doi.org/10.5281/zenodo.7083540 |
| DOI: | 10.5281/zenodo.7083540 |
| Availability: | https://doi.org/10.5281/zenodo.7083540 https://zenodo.org/records/7083540 |
| Rights: | Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode |
| Accession Number: | edsbas.F571DD5B |
| Database: | BASE |
| Abstract: | E-APK: Energy Pattern Detection In Decompiled Android Applications This repository is a complement to the master's thesis "E-APK: Energy Pattern Detection In Decompiled Android Applications" by Nelson Alexandre Saraiva Gregório and an extension of the published paper [1]. It contains: Setup instructions for all the tools we used Instructions for how to replicate the whole experiment Python notebooks used to analyse the results The raw data collected Energy Pattern literature review Processed dataset Analysis results Inside the zip file are several numbered folders and a README with instructions. [1] N. Gregório, J. Bispo, J. P. Fernandes and S. Q. Medeiros. E-APK: Energy Pattern Detection in Decompiled Android Applications. 26th Brazilian Symposium on Programming Languages, 2022. |
|---|---|
| DOI: | 10.5281/zenodo.7083540 |
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