An Accuracy Information Annotation Model for Validated Service Behavior Specifications

Abstract

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 precision 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 the accuracy of a specification can be assessed and stated and how validation settings of model-based testing can ease precision assessments. The applicability of the approach is shown on a case study. We demonstrate how our approach allows accuracy statements and can be used in combination with usage profile and platform independent performance validations, as well as point out how accuracy assessments are eased.