Open AccessCloud testing automation: industrial needs and ElasTest response
Author(s) -
Bertolino Antonia,
Calabrò Antonello,
Marchetti Eda,
Cervantes Sala Anton,
Tuñón de Hita Guiomar,
Gheorghe Pop Ilie Daniel,
Gowtham Varun
Publication year - 2020
Publication title -
iet software
Language(s) - English
Resource type - Journals
ISSN - 1751-8814
DOI - 10.1049/iet-sen.2019.0140
Subject(s) - cloud computing , cloud testing , automation , computer science , webrtc , the internet , test strategy , software engineering , systems engineering , engineering management , process management , engineering , world wide web , cloud computing security , software , operating system , mechanical engineering
While great emphasis is given in the current literature about the potential of leveraging the cloud for testing purposes, the authors have scarce factual evidence from real‐world industrial contexts about the motivations, drawbacks and benefits related to the adoption of automated cloud testing technology. In this study, the authors present an empirical study undertaken within the ongoing European Project ElasTest, which has developed an open source platform for end‐to‐end testing of large distributed systems. This study aims at validating the ElasTest solution, and consists of the assessment of four demonstrators belonging to different application domains, namely e‐commerce, 5G networking, WebRTC and Internet of Things. For each demonstrator, they collected differing requirements, and achieved varying results, both positive and negative, showing that cloud testing needs careful assessment before adoption.