Empirical Evaluation of Cloud-based Testing Techniques: A Systematic Review

Software Testing is a challenging activity for many software engi-neering projects, especially for large scale systems. The amount of tests cases can range from a few hundred to several thousands, requiring significant computing resources and lengthy execution times. Cloud computing offers the potential to address both of these issues: it offers resources such as virtualized hardware, ef-fectively unlimited storage, and software services that can aid in reducing the execution time of large test suites in a cost-effective manner. In this paper we report on a systematic review of cloud based testing techniques published in major software engineer-ing journals and conferences conducted by other researchers. Re-search papers were gathered from various scholarly databases us-ing provided search engines within a given period of time. A total of 82 research papers are analyzed in this systematic review and we classified it into four categories according to issues addressed by them. We identified majority of the research papers focused on Cloud based Testing and Issues (38 papers) and 23 papers fo-cused on Cloud based Testing Frameworks. By looking at the areas focused by existing researchers, gaps and untouched areas of cloud based testing can be discovered