Copyright © 2017-2019 Universidad Rey Juan Carlos. Licensed under Apache 2.0 License.
This repository contains practical examples aimed to support the research line of the ElasTest project aimed to measure the Quality of Experience (QoE) of WebRTC applications.
In order to carry out this QoE assessment, a process made up by three stage is proposed:
- Generate input video. This step is done using a the bash script generate_input_video.sh.
- Run an automated test based on Selenium, JUnit, and Docker. This step is done using a test case, for example OpenViduBasicConferencePacketLossTest or AppRtcAdvancedTest.
- Calculate QoE metrics. This step is aimed to post process video recordings and generate objective (VMAF, SSIM, PSNR, VIFp, etc) results using the bash script calculate_qoe_metrics.sh.
This repository also contains the result data (objective and subjective) of a experiment done using OpenVidu basic video conference demo as System Under Test.
This repository is part of ElasTest, which is a flexible open source testing platform aimed to simplify the end-to-end testing processes for different types of applications, including web and mobile, among others.
The objective of ElasTest is to provide advance testing capabilities aimed to increase the scalability, robustness, security and quality of experience of large distributed systems. All in all, ElasTest will make any software development team capable of delivering software faster and with fewer defects.
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