A dataset from the daily use of features in Android devices
Description
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 by collecting data from features while using the Android operating system. This is a database generated using Tucandeira Data Collector from the daily use of smartphones and tablets while performing everyday tasks. The dataset contains 98 features and 10,331,114 records related to dynamic, background, list of applications, and static data. Device records were collected daily 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.
Files
Steps to reproduce
Steps to reproduce: 1. Install the Data Collection App: Begin by installing the Tucandeira Data Collector application on your Android device. 2. Daily Data Collection: Allow the application to collect data daily. Ensure the app is running consistently to gather a comprehensive and concise dataset over time. 3. Transfer Data to Computer: Once enough data has been collected, copy the data files from the device to your computer. 4. Process the Data: Use the script provided in this repository to process the data. This script is designed to: • Clean and prepare the data if necessary. • Provide an overview of the data distribution. • Conduct some basic statistical analyses on the collected data.