Efficient Engineering Solutions

Methodological Competence in Systems Engineering

Efficient Engineering Solutions

Innovations such as autonomous driving, Industrie 4.0, Internet of Things, or Big Data only become possible because of software. However, various challenges still exist in this regard, such as cyber-security or safety, which need to be mastered in terms of the efficient engineering of software-based systems.

In the context of our service "Efficient Engineering Solutions", we are providing a portfolio of innovative and proven processes, methods, and tools. These processes are adapted to your organization and support you in successfully applying them in projects.

The engineering of modern software-based systems increasingly poses challenges for organizations:

  • Collaborative Development: Clear interfaces among all partners involved in the development and appropriate tools enable efficient collaboration.
  • Complexity: Functional as well as non-functional requirements are becoming more complex.
  • Variety: Systems of systems integrate a multitude of different systems.
  • Uncertainty: Quality guarantees must also be given at runtime in terms of system performance, functional safety, data protection, or data sovereignty.
  • Safety/Security: Data access (Security) and functional safety (Safety) must assure both system qualities during operation in order to prevent risks for life and limb.
  • Usability: The focus is on the human as the user; therefore, usability must be considered across all involved systems.
  • Intelligence and Autonomy: The smart usage of data plays an ever greater role in autonomous or semi-autonomous systems.
  • Innovation Cycles: In concepts such as DevOps, development and operation are already being fused into one, which allows responding flexibly and quickly to customer requirements.

Safe & Rapid Delivery


Agile Transformation

We support you in exploiting the potential of agile processes and DevOps and in transforming existent processes. Scalability, firm entrenchment of the processes in the organization, and collaboration with classical processes and external development partners are factors that play an important role in this regard.

Engineering Quality – Ensuring Quality



Systems are open, adaptive, and increasingly interconnected. Established safety engineering methods are therefore only usable to a certain extent. Safety-related guarantees are offered by our ConSerts approach.



IT and data security play a very large role for organizations. In terms of systems engineering, Fraunhofer IESE supports you in validating the design of a system and in balancing security needs with other system qualities. 


User Experience

Good usability and functionality of a system are no longer enough to ensure success with users. We work with you to design systems in such a way that users are not only supported effectively and efficiently, but also have a positive User Experience (UX).

Systems Engineering – Mastering Complexity



Products can only be developed when the needs and wishes of the stakeholders are known. Our support for you ranges from creativity techniques for requirements elicitation to the systematic management of complex requirements in all areas of requirements engineering.



Architecture is of fundamental importance in the development of high-value software systems with predictable and adequate quality within time and budget constraints. Our ACES method supports you in defining and documenting your architecture.

Variation Management

Increasingly complex products and a rapidly increasing number of variants and versions are the result of providing and maintaining customer-specific solutions. With our variation management approach, which we have been using successfully for many years, we help you to master this complexity and make sure that you can continue to evolve and adapt your systems in the future.

Virtual Engineering – Early Evaluation and Validation


FERAL: Virtual Architecture Development and Evaluation of Software Designs

Our virtual engineering approach provides tools that allow you to evaluate functions early on in a realistic system context. Our FERAL framework makes it possible to execute existing or prototypical behavior components in a simulated environment.