Perceived Needs and Gains from an Industrial Study in Cloud Testing Automation
Antonia Bertolino, Antonello Calabrò, Eda Marchetti, Anton Cervantes Sala, Guiomar Tuñón de Hita, Ilie Daniel Gheorghe Pop, Varun Gowtham · 2018
Challenges, methods and tools for testing in the Cloud have been actively researched, however there is lack of evidence about the actual motivations, issues and gains for adoption of automated cloud testing technology in real world industrial contexts. In this paper we report our findings from an empirical study involving four quasi-experiments within different application domains, namely e-commerce, 5G networking, WebRTC and IoT. The study is part of the ElasTest validation strategy, aiming at assessing the impact of the ElasTest open source platform for end-to-end testing of large distributed systems.