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Perceived needs and gains from an industrial study in cloud testing automation

: Bertolino, Antonia; Calabrò, Antonello; Marchetti, Eda; Cervantes Sala, Anton; Tuñón de Hita, Guioma; Gheorghe-Pop, Ilie-Daniel; Gowtham, Varun


Sill, Alan (ed.) ; Institute of Electrical and Electronics Engineers -IEEE-; Association for Computing Machinery -ACM-:
11th IEEE/ACM International Conference on Utility and Cloud Computing companion, UCC-C 2018. Proceedings : 17-20 December 2018, Zurich, Switzerland
Piscataway, NJ: IEEE, 2019
ISBN: 978-1-72810-359-4
ISBN: 978-1-72810-360-0
International Conference on Utility and Cloud Computing (UCC) <11, 2018, Zurich>
European Commission EC
H2020; 731535; ElasTest
An elastic platform for testing complex distributed large software systems
Fraunhofer FOKUS ()

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.