Cloud testing tools

Xiaoying Bai, Muyang Li, Bin Chen, W. Tsai, J. Gao
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引用次数: 107

Abstract

Cloud platform provides an infrastructure for resource sharing, software hosting and service delivering in a pay-per-use approach. To test the cloud-based software systems, techniques and tools are necessary to address unique quality concerns of the cloud infrastructure such as massive scalability and dynamic configuration. The tools can also be built on the cloud platform to benefit from virtualized platform and services, massive resources, and parallelized execution. The paper makes a survey of representative approaches and typical tools for cloud testing. It identifies the needs for cloud testing tools including multi-layer testing, SLA-based testing, large scale simulation, and on-demand test environment. To address the needs, it investigates the new architecture and techniques for designing testing tools for the cloud and in the cloud. Tool implementations are surveyed considering different approaches including migrated conventional tools, research tools, commercial tools and facilities like benchmark and testbed. Based on the analysis of state-of-the-art practices, the paper further investigates future trend of testing tool research and development from both capability and usability perspectives.
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云测试工具
云平台以按次付费的方式为资源共享、软件托管和服务交付提供了基础设施。为了测试基于云的软件系统,需要技术和工具来解决云基础设施的独特质量问题,例如大规模可伸缩性和动态配置。这些工具还可以构建在云平台上,以受益于虚拟化平台和服务、海量资源和并行执行。本文综述了云测试的代表性方法和典型工具。它确定了对云测试工具的需求,包括多层测试、基于sla的测试、大规模模拟和按需测试环境。为了满足这些需求,本文研究了为云和云中设计测试工具的新体系结构和技术。工具实现的调查考虑了不同的方法,包括迁移的传统工具、研究工具、商业工具和基准和测试平台等设施。本文在分析现有实践的基础上,从能力和可用性两个角度进一步探讨了测试工具研究与开发的未来趋势。
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