In-Test Adaptation of Workload in Enterprise Application Performance Testing

Abstract

Performance testing is used to assess if an enterprise application can fulfil its expected Service Level Agreements. However, since some performance issues depend on the input workloads, it is common to use time-consuming and complex iterative test methods, which heavily rely on human expertise. This paper presents an automated approach to dynamically adapt the workload so that issues (e.g. bottlenecks) can be identified more quickly as well as with less effort and expertise. We present promising results from an initial validation prototype indicating an 18-fold decrease in the test time without compromising the accuracy of the test results, while only introducing a marginal overhead in the system.