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A Systematic Mapping Study of Empirical Studies on Software Cloud Testing Methods

机译:软件云测试方法实证研究的系统映射研究

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Context: Software has become more complicated, dynamic, and asynchronous than ever, making testing more challenging. With the increasing interest in the development of cloud computing, and increasing demand for cloud-based services, it has become essential to systematically review the research in the area of software testing in the context of cloud environments. Objective: The purpose of this systematic mapping study is to provide an overview of the empirical research in the area of software cloud-based testing, in order to build a classification scheme. We investigate functional and non-functional testing methods, the application of these methods, and the purpose of testing using these methods. Method: We searched for electronically available papers in order to find relevant literature and to extract and analyze data about the methods used. Result: We identified 69 primary studies reported in 75 research papers published in academic journals, conferences, and edited books. Conclusion: We found that only a minority of the studies combine rigorous statistical analysis with quantitative results. The majority of the considered studies present early results, using a single experiment to evaluate their proposed solution.
机译:背景:软件比以往任何时候都变得更加复杂,动态和异步,从而使测试更具挑战性。随着对云计算发展的兴趣日益增长,以及对基于云的服务的需求不断增长,在云环境下系统地审查软件测试领域的研究已变得至关重要。目的:本系统制图研究的目的是概述基于软件云的测试领域的实证研究,以建立分类方案。我们研究功能和非功能测试方法,这些方法的应用以及使用这些方法进行测试的目的。方法:我们搜索了可通过电子方式获得的论文,以查找相关文献并提取和分析有关所用方法的数据。结果:我们在学术期刊,会议和编辑著作中发表的75篇研究论文中鉴定出69篇主要研究。结论:我们发现只有少数研究将严格的统计分析与定量结果结合在一起。大多数考虑的研究都通过单个实验评估他们提出的解决方案,从而给出了早期结果。

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