KIZAM

The requirements for the vehicle development process are highly complex. The definition of requirements, such as specifications, serves as the starting point for all subsequent functional, operational, and solution principles. As a result, quality is of enormous importance in terms of unambiguous, complete, and non-redundant requirements. Thus far, traditional databases have been used to compensate for the increasing requirements due to the number of variations and complexity, but these methods are becoming increasingly limited. To support future digital development processes, all complex interactions and requirements must be described without the need for manual and time-consuming checks.

The KIZAM project aims to research the use of AI methods in requirements management for vehicle development. This involves developing machine-readable, optimized, and consistent requirements in vehicle development through adapted software solutions and AI algorithms. These algorithms build on existing systems and solutions and can be easily and quickly adapted if the project is successful. Moreover, the use of AI in requirements management allows for the fast and efficient comparison of all relevant requirements data, identifying interactions even across requirements levels, process interfaces, and system boundaries. This significantly improves the quality of the requirements catalogue.