Quality-of-Experience driven configuration of WebRTC services through automated testing

Autor: Antonello Calabrò, Guglielmo De Angelis, Antonia Bertolino, Michel Maes, Francisco Gortázar, Guiomar Tunon, Francesca Lonetti
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: IEEE 20th International Conference on Software Quality, Reliability, and Security (QRS), pp. 152–159, Macau, China, 11-14/12/2020
info:cnr-pdr/source/autori:Bertolino A.; Calabró A.; De Angelis G.; Gortázar F.; Lonetti F.; Maes M.; Tuñón G./congresso_nome:IEEE 20th International Conference on Software Quality, Reliability, and Security (QRS)/congresso_luogo:Macau, China/congresso_data:11-14%2F12%2F2020/anno:2020/pagina_da:152/pagina_a:159/intervallo_pagine:152–159
QRS
Popis: Quality of Experience (QoE) refers to the end users level of satisfaction with a real-time service, in particular in relation to its audio and video quality. Advances in WebRTC technology have favored the spread of multimedia services through use of any browser. Provision of adequate QoE in such services is of paramount importance. The assessment of QoE is costly and can be done only late in the service lifecycle. In this work we propose a simple approach for QoE-driven non-functional testing of WebRTC services that relies on the ElasTest open-source platform for end-to-end testing of large complex systems. We describe the ElasTest platform, the proposed approach and an experimental study. In this study, we compared qualitatively and quantitatively the effort required in the ElasTest supported scenario with respect to a "traditional" solution, showing great savings in terms of effort and time.
Databáze: OpenAIRE