Load testing in large service-oriented architecture (SOA) environments is especially challenging when services are under the control of different teams. It gets even more difficult if services need to be scaled before a load test starts. It is thus important to estimate workloads for services involved in a load test. Service workloads can be specified by the amount of service operation invocations distributed over time. We propose the use of performance models to derive this information for SOA-based applications before executing load tests. In a first step, we use these models to select usage scenarios. Afterwards, these models are transformed in a way that each scenario can be simulated separately from each other. These simulations can predict service workloads for selected usage scenarios and different user counts.     «

Load testing in large service-oriented architecture (SOA) environments is especially challenging when services are under the control of different teams. It gets even more difficult if services need to be scaled before a load test starts. It is thus important to estimate workloads for services involved in a load test. Service workloads can be specified by the amount of service operation invocations distributed over time. We propose the use of performance models to derive this information for SOA-...     »