Compared to the past, today's vehicles provide a great deal of additional functionality, such as stability programs and driver assistance systems. More and more features of this kind are being developed, making the software in the various control units of a vehicle increasingly complex. At this point, problems can arise when these features interact with each other. The growing number of features will make it increasingly difficult to detect such feature interactions. The aim of this work was therefore to systematically detect feature interactions. For this purpose, suitable metrics should be used - so-called coupling metrics. In principle, features in vehicles can be distributed over several control units. Within the frame of this work, a concept for the detection of feature interactions was investigated using the software of an engine control unit as an example. For this purpose, the present software was initially examined for existing features. Subsequently, a tool chain was developed that parses the software and applies the metrics to the features of this engine control unit software. Furthermore the tool chain makes it possible to visualize the results of the coupling metrics. On the basis of these results it is discussed whether and how potential feature interactions can be detected with the help of coupling metrics. Detected feature interactions are analyzed. In addition, it is examined whether or which further statements about feature interactions can be made by means of coupling metrics.