Automated WAIT for cloud-based application testing

Cloud computing is causing a paradigm shift in the provision and use of software. This has changed the way of obtaining, managing and delivering computing services and solutions. Similarly, it has brought new challenges to software testing. A particular area of concern is the performance of cloud-based applications. This is because the increased complex-ity of the applications has exposed new areas of potential failure points, complicating all performance-related activi-ties. This situation makes the performance testing of cloud applications very challenging. Similarly, the identification of performance issues and the diagnosis of their root causes are time-consuming and complex, usually require multiple tools and heavily rely on expertise. To simplify these tasks, hence increasing the productivity and reducing the depen-dency on human experts, this paper presents a lightweight approach to automate the usage of expert tools in the per-formance testing of cloud-based applications. In this paper, we use a tool named Whole-system Analysis of Idle Time to demonstrate how our research work solves this problem. The validation involved two experiments, which assessed the overhead of the approach and the time savings that it can bring to the analysis of performance issues. The results proved the benefits of the approach by achieving a signif-icant decrease in the time invested in performance analysis while introducing a low overhead in the tested system