A dataset from the daily use of features in Android devices

The energy consumption of Android devices, measured via data collection from features, is a recurring theme in the literature. To evaluate the performance of such devices, databases are generated through the collection of data from features while using the Android operating system. This is a database generated from the daily use of smartphones and tablets while performing everyday tasks. The dataset contains 98 features and 10,330,458 records related to dynamic, background, list of applications, and static data. Device records were collected every day from ten distinct devices and stored in CSV files that were later organized to generate a database by cleaning and preprocessing the data that are publically available in the Mendeley Data Repository. The dataset formed an integral component of the SWPERFI RD&I Project, a research, development, and innovation initiative aimed at improving the performance and energy optimization of mobile devices. This project was undertaken at the Federal University of Amazonas.通过特征采集获取数据以衡量的安卓（Android）设备能耗问题，始终是学术文献中反复探讨的核心议题。为评估此类设备的性能，研究人员会在运行安卓操作系统的场景下，通过采集各类特征数据构建数据库。本数据集源自日常使用智能手机与平板电脑完成各类日常任务时采集的数据，以此构建而成。该数据集共包含98项特征与10330458条记录，涵盖动态数据、后台数据、应用列表数据与静态数据四类。研究人员从10台不同的设备中每日采集设备运行记录，将其存储为CSV文件，随后通过数据清洗与预处理对文件进行整理，最终生成可供公开获取的数据库，该数据库现已发布于Mendeley数据仓储（Mendeley Data Repository）。该数据集是SWPERFI RD&I项目的核心组成部分。该项目是一项旨在提升移动设备性能与能耗优化水平的研究、开发与创新计划，由亚马逊联邦大学（Federal University of Amazonas）牵头实施。

搜集汇总

背景与挑战

背景概述

该数据集是一个关于Android设备日常使用特征的数据库，通过Tucandeira Data Collector从十台智能手机和平板电脑的日常任务中收集生成，包含98个特征和超过1000万条记录，涵盖动态、后台、应用列表和静态数据类型。数据集是SWPERFI RD&I项目的一部分，由巴西亚马孙联邦大学开发，旨在优化移动设备性能和能耗，适用于软件工程、移动计算等研究领域。