Usage profile and platform independent automated validation of service behavior specifications
Henning Groenda · 2010
Assessing providable service levels based on model-driven prediction approaches requires valid service behavior specifications. Such specifications must be suitable for the requested usage profile and available hardware to make correct predictions and decisions on providable service levels. Assessing the validity of given parameterized performance specifications is often done manually in an ad-hoc way based on the experience of the performance engineer. In this paper, we show how model-based testing can be applied to validate a specification's accuracy and how the attachment of validation settings to specifications can ease validity assessments. The applicability of the approach is shown on a case study. We demonstrate how our approach allows usage profile and platform independent performance validations, as well as point out how validity assessments are eased.