FLT1 - Dev4Test

The automotive industry is undergoing a transformation towards an increasing share of software in vehicles to offer complex and intelligent functions to an increasingly demanding customer base. This allows new features and functions to be delivered quickly and integrated flexibly into existing vehicles via over-the-air software updates. At the same time, rising quality requirements are essential for customer acceptance. However, traditional quality assurance methods are increasingly failing in the context of growing functional complexity and frequent software updates, as they do not account for the continuity of software development processes.

Aim

Guided by the vision of "Design for Test" the project Dev4Test aims to establish testing as a central aspect of the product development process. In the future, testing will no longer be a downstream activity but will be integrated from the very beginning. Test-centered development ensures continuous and consistent consideration of testing throughout the product lifecycle. The project develops a modular toolkit of concepts, processes, methods, and tools to meet the increasing demands for quality and flexibility in reliable, software-defined mobility systems.

The project goal is to create a toolkit that enables test-centered development of high-quality, flexible, software-defined mobility systems, while considering software testing as a central and continuous aspect.

Approach

Key methodologies and approaches in the project:

• Design of an end-to-end, test-centered development process considering the specific characteristics of future mobility systems.
• Integration of AI-supported methods to increase validation, verification, and development productivity.
• Comprehensive experiments with various vehicle and system architectures to evaluate the developed toolkit.
• Development of a demonstrator as a representative reference and for clear visualization and demonstration of project results.

Benefit

Developers and testers are provided with tools and methods that are perfectly suited to test-centered development. AI supports development and test processes are automated in order to increase productivity in the development and quality assurance of software. For the future vehicle owner, this means that the vehicle software meets higher quality requirements and new functionalities are available more quickly.