VIRTUAL AND AUGMENTED REALITY FOR TESTING OF SELF-OPTIMIZING SYSTEMS
This paper presents the use of Virtual Reality (VR) and Augmented Reality (AR) for the analysis of systematic tests of self-optimizing systems. Self-optimizing systems are advanced mechatronic systems, which react autonomously and flexible on changing operation conditions. These systems demand formal methods for the test of the controlling and self-optimizing information processing. One method is the so-called systematic testing, which tests the behavior of a system on basis of a formal method. VR and AR are necessary for planning, analysis and evaluation of systematic tests.