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.

中文翻译：

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云测试自动化：工业需求和ElasTest响应

尽管在当前文献中非常强调利用云进行测试的潜力，但作者们从现实世界的工业环境中获得的事实证据很少，与采用自动云测试技术相关的动机，缺点和好处有关。在这项研究中，作者提出了正在进行的欧洲项目ElasTest内进行的一项经验研究，该项目已经开发了一个用于大型分布式系统的端到端测试的开源平台。这项研究旨在验证ElasTest解决方案，包括评估属于不同应用领域的四个演示者，这些领域分别是电子商务，5G网络，WebRTC和物联网。他们为每位示威者收集了不同的要求，并取得了积极和消极的不同结果，