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: |
021110 strategic
defence & security studies business.industry Computer science 0211 other engineering and technologies 020207 software engineering Cloud computing 02 engineering and technology Data science Automation WebRTC Cloud testing Empirical research Software bug Industrial demonstrator Quasi experiment Business intelligence 0202 electrical engineering electronic engineering information engineering business 5G |
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 |
Externí odkaz: |