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

被引:18
|
作者
Ahmad, Amro Al-Said [1 ]
Brereton, Pearl [1 ]
Andras, Peter [1 ]
机构
[1] Keele Univ, Sch Comp & Math, Keele, Staffs, England
关键词
systematic mapping study; cloud software testing methods; software testing; empirical studies; SERVICE; BENCHMARKING; PERFORMANCE; MODEL;
D O I
10.1109/QRS-C.2017.94
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
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.
引用
收藏
页码:555 / 562
页数:8
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