Perceived Needs and Gains from an Industrial Study in Cloud Testing Automation

Autor: Varun Gowtham, Antonia Bertolino, Anton Cervantes Sala, Eda Marchetti, Ilie Daniel Gheorghe Pop, Guiomar Tunon de Hita, Antonello Calabrò
Jazyk: angličtina
Předmět:
Zdroj: 2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion (UCC Companion)
2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion (UCC Companion), pp. 238–244, Zurich, Switzerland, 17-20/12/2018
info:cnr-pdr/source/autori:Bertolino A.; Calabrò A.; Marchetti E.; Cervantes Sala A.; Tunon De Hita G.; Gheorghe Pop I.D.; Gowtham V./congresso_nome:2018 IEEE%2FACM International Conference on Utility and Cloud Computing Companion (UCC Companion)/congresso_luogo:Zurich, Switzerland/congresso_data:17-20%2F12%2F2018/anno:2018/pagina_da:238/pagina_a:244/intervallo_pagine:238–244
UCC Companion
DOI: 10.1109/ucc-companion.2018.00062
Popis: 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.
Databáze: OpenAIRE