SEOct 28, 2021

Be Lean -- How to Fit a Model-Based System Architecture Development Process Based on ARP4754 Into an Agile Environment

arXiv:2110.15103v1
Originality Synthesis-oriented
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This work addresses the problem of making rigorous aviation development processes accessible to small teams in the Urban Air Mobility sector, though it is incremental as it adapts existing standards rather than introducing new methods.

The authors tackled the challenge of applying the resource-intensive ARP4754A standard for model-based system architecture development in aviation to small teams, such as startups, by proposing a custom workflow that reduces manual effort through automation and demonstrates compliance with the standard's objectives in a case study.

An emerging service is moving the known aviation sector in terms of technology, paradigms, and key players - the Urban Air Mobility. The reason: new developments in non-aviation industries are driving technological progress in aviation. For instance electrical motors, modern sensor technologies and better energy storage expand the possibilities and enable novel vehicle concepts which require also novel system architectures for flight control systems. Their development is governed by aviation authority and industry recognized standards, guidelines and recommended practices. Comprehensive methods for Model-Based Systems Engineering exist which address these guidance materials but their setup and their application can be quite resource-demanding. Especially the new and rather small key players - start-ups and development teams in an educational environment - can be overwhelmed to setup such development processes. For these clients, the authors propose a custom workflow for the development of system architectures. It shall ensure development rigor, quality and consistency. The authors show how the custom workflow has been established based on the ARP4754A and its level of compliance to the standard's process objectives. Based on automation of life cycle activities, manual effort can be reduced to allow the application even in small teams. The custom workflow's activities are explained and demonstrated within a case study of an Experimental Autopilot system architecture.

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