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    <title>Wessbas by Wessbas</title>
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        <h1>Wessbas</h1>
        <h2>Homepage of the WESSBAS Project</h2>
        <a href="https://github.com/Wessbas" class="button"><small>Follow me on</small> GitHub</a>
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<a id="wessbas-extraction-of-probabilistic-workload-specifications-for-load-testing-and-performance-prediction" class="anchor" href="#wessbas-extraction-of-probabilistic-workload-specifications-for-load-testing-and-performance-prediction" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>WESSBAS: Extraction of Probabilistic Workload Specifications for Load Testing and Performance Prediction</h1>

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<a id="a-model-driven-approach-for-session-based-application-systems" class="anchor" href="#a-model-driven-approach-for-session-based-application-systems" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>A Model-Driven Approach for Session-Based Application Systems</h2>

<p>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.</p>

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<a id="publications" class="anchor" href="#publications" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Publications</h3>

<p><b>Main reference:</b> 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 &amp; Systems Modeling 2016. <a href="http://dx.doi.org/10.1007/s10270-016-0566-5">http://dx.doi.org/10.1007/s10270-016-0566-5 (Open Access)</a> </p>

<p>C. Vögele, A. van Hoorn, and H. Krcmar. Automatic extraction of session-based workload specifications for architecture-level performance models. In Proceedings of the 4th International Workshop on Large-Scale Testing (LT), pages 5-8. ACM, 2015.</p>

<p>A. van Hoorn, C. Vögele, E. Schulz, W. Hasselbring, and H. Krcmar. Automatic extraction of probabilistic workload specifications for load testing session-based application systems. In Proceedings of the 8th International Conference on Performance Evaluation Methodologies and Tools (VALUETOOLS), pages 139-146. ACM, 2014.</p>

<p>A. van Hoorn, M. Rohr, and W. Hasselbring. Generating probabilistic and intensity-varying workload for webbased software systems. In Proceedings of the SPEC International Performance Evaluation Workshop 2008, volume 5119 of LNCS, pages 124-143. Springer, 2008.</p>


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<a id="kontakt" class="anchor" href="#kontakt" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Kontakt</h3>

<p><a href="http://www.fortiss.org/ueber-uns/mitarbeiter/christian-voegele/">Christian Vögele</a> (<a href="mailto:voegele@fortiss.org">voegele@fortiss.org</a>)
fortiss GmbH</p>

<p><a href="http://www.iste.uni-stuttgart.de/rss/people/vanhoorn/">André van Hoorn</a>
University of Stuttgart, Institute of Software Technology, Reliable Software Systems</p>
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