E-APK: Energy Pattern Detection in Decompiled Android Applications

Saved in:
Bibliographic Details
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
Description
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