Testing remains the primary means by which the efficacy of software is assessed. It is, however, labour-intensive, slow, and highly reliant on the specialized skills of human testers, in themselves error prone. The automation of testing processes is therefore a topic of considerable practical importance; Random Testing represents a relatively simple and practical method of doing so, and has been used in a variety of industrial applications. It is used for many types of testing, from unit debug testing to reliability and performance assessments of complete systems. Its sheer simplicity is also of theoretical interest, as an easily modelled baseline that other testing techniques can be compared to.

The goal of this workshop is to bring together researchers, engineers, and practitioners to discuss and evaluate the latest challenges and breakthroughs in the field of Random Testing and to identify future trends and problems in this area. The combination of people from both academia and industry is intended to help on the one hand transferring problems from industry to academia and on the other hand providing practical applications for theoretical research results.