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.
Random testing, also known as statistical or operational
testing, is used for many types of testing. These range 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 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