Evolutionary functional testing of continuous control systems

Authors:
Andreas Windisch;Felix Lindlar;Sebastian Topuz;Stefan Wappler
Affiliations:
Daimler Center for Automotive IT Innovations, Technische Universität Berlin, Berlin, Germany;Daimler Center for Automotive IT Innovations, Technische Universität Berlin, Berlin, Germany;Daimler AG, Sindelfingen, Germany;Berner & Mattner Systemtechnik GmbH, Berlin, Germany
Venue:
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Year:
2009

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Abstract

Evolutionary functional testing is an approach to automatically generating test cases that violate a certain functional system requirement. This paper proposes an approach suitable for efficiently testing complex continuous control systems using an evolutionary testing framework that has been optimized for deployment in the industrial domain. Features of this test environment include the ability of automatically generating and optimizing continuous test data sets. The efficiency of the method is assessed by performing an experimental case study and by comparison with random testing. Results of this work indicate high usability and efficiency of the proposed method.