Title :
Predictive engineering of an of an unmanned aerial system (UAS) using the Architecture Analysis and Design Language (AADL)
Author :
Barott, Jeanette B. ; Gluch, David P. ; Kirby, Savannah L.
Author_Institution :
Electr., Comput., Software, & Syst. Eng. Dept., Embry-Riddle Aeronaut. Univ., Daytona Beach, FL, USA
Abstract :
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.
Keywords :
aircraft; avionics; mobile robots; remotely operated vehicles; software engineering; architecture analysis and design language; model based software system engineering practices; predictive software dependent system engineering practices; resource utilization; search and rescue system; unmanned aerial system; Analytical models; Atmospheric modeling; Bandwidth; Batteries; Libraries; Predictive models; AADL; UAS; model-based software engineering; predictive engineering;
Conference_Titel :
Systems Conference (SysCon), 2011 IEEE International
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4244-9494-1
DOI :
10.1109/SYSCON.2011.5929086