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.
Another related mapping study REF highlights that the majority of the studies in software cloud testing present early results, which indicates growing interests across the field and also the potential for much more research to follow the early results.
A Systematic Mapping Study of Empirical Studies on Software Cloud Testing Methods
2017 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C)
2017 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C)
Computer Science