Predictive engineering of an of an unmanned aerial system (UAS) using the Architecture Analysis and Design Language (AADL)

In this paper, we describe the results of applying predictive software-dependent system engineering practices using the SAE International Architectural Analysis and Design Language (AADL) in the modeling and analysis of an unmanned aerial system (UAS), part of a search and rescue (SAR) system. The SAR system embodies many of the challenges associated with engineering complex software-dependent systems, such as achieving stringent performance requirements and ensuring effective resource utilization. The results of this work demonstrated that model-based software system engineering practices employing the AADL can be used to analyze important system aspects early in architectural development, and can be an integral element in making informed decisions throughout an engineering effort.