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

Al-Said Ahmad, A; Brereton, OP; Andras, PE

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Authors

OP Brereton

PE Andras



Abstract

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.

Start Date Jul 25, 2017
End Date Jul 29, 2017
Acceptance Date May 26, 2017
Publication Date Aug 18, 2017
Publicly Available Date Mar 29, 2024
Series Title International Workshop on Automation Testing of Cyber-Physical Systems in the Cloud (cpsATcloud)
Book Title 2017 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C)
ISBN 9781538620724
DOI https://doi.org/10.1109/QRS-C.2017.94

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