Aircraft design and development programs must comply with many certification requirements described in natural language provided in a complex collection of document-based regulations and associated guidance material. As a result, individual design organizations develop internal processes detailing how regulatory requirements should be met within their aircraft design programs. Subject matter experts develop these processes, which are subjective interpretations of the regulations and can vary significantly between development programs and organizations. Model-based approaches are increasingly used to manage the complexity of the aircraft design and development process. Regulatory documentation, however, remains document-based, making certification a costly component of the design process. This paper reviews three approaches to modeling regulatory documentation of process mapping, ontological modeling, and Unified Modeling Language (UML) and compares their utility in the context of reducing ambiguity, reflecting complexity, and leveraging subject matter expertise. A case study is presented using the advisory circular AC 21.101-1B Establishing the Certification Basis of Changed Aeronautical Products to illustrate the comparison.


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    Title :

    Clarifying Ambiguity in Aircraft Regulatory Documentation: A Review of Modeling Approaches


    Contributors:

    Published in:

    Publication date :

    2025-01-01




    Type of media :

    Conference paper , Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English







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