WESSBAS: Extraction of Probabilistic Workload Specifications for Load Testing and Performance Prediction
A Model-Driven Approach for Session-Based Application Systems
WESSBAS presents an approach that aims to automate the extraction and transformation of workload specifications for load testing and model-based performance prediction of session-based application systems. The approach (WESSBAS) comprises three main components. First, a system and tool agnostic domain-specific language (DSL) allows the layered modeling of workload specifications of session-based systems. Second, instances of this DSL are automatically extracted from recorded session logs of production systems. Third, these instances are transformed into executable workload specifications of load generation tools and model-based performance evaluation tools. We present transformations to the common load testing tool Apache JMeter and to the Palladio Component Model.
Main reference: C. Vögele, A. van Hoorn, E. Schulz, W. Hasselbring, and H. Krcmar. WESSBAS: extraction of probabilistic workload speciﬁcations for load testing and performance prediction — a model-driven approach for session-based application systems. In Software & Systems Modeling 2016. http://dx.doi.org/10.1007/s10270-016-0566-5 (Open Access)
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André van Hoorn University of Stuttgart, Institute of Software Technology, Reliable Software Systems