Software updates made by developers often achieve their intendedpurpose, but these updates may also lead to an anomalous behaviorpreviously unknown to the developers. This might be due to theirinteraction with other parts of the system. If the developers had a toolwhich could help them to visually see these changes as a behavioralmodel, it would benefit them to actually know how the changes haveaffected the behavior of the system. Thus, empowering them to fixany side effects or bugs that arise as a part of their update.

Thus, in order to visualize and compare learned behavioral models,a tool was created which would model the behavior from traces generatedby scenarios based on the related work in the area of inferringmodels of software systems. This tool was specifically intended forembedded software. So, to compare changes based on updates andfunctional changes of embedded software, behavioral models of scenarioswere obtained for different versions of a Real Time OperatingSystem (RTOS) Kernel. The visual comparison algorithm proved tobe effective in visualizing the differences between behavioral modelsfor a particular scenario across the versions.