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Autonomy Requirements Engineering fo...

Neace, Kerry S.

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Autonomy Requirements Engineering for Unmanned Aircraft Systems during Concept Development Phase.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Autonomy Requirements Engineering for Unmanned Aircraft Systems during Concept Development Phase./
Author:	Neace, Kerry S.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
Description:	287 p.
Notes:	Source: Dissertation Abstracts International, Volume: 79-03(E), Section: B.
Contained By:	Dissertation Abstracts International79-03B(E).
Subject:	Robotics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10621458
ISBN:	9780355516630

Autonomy Requirements Engineering for Unmanned Aircraft Systems during Concept Development Phase.
Neace, Kerry S.

Autonomy Requirements Engineering for Unmanned Aircraft Systems during Concept Development Phase. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 287 p.

Source: Dissertation Abstracts International, Volume: 79-03(E), Section: B.

Thesis (Ph.D.)--The George Washington University, 2017.

Designing Unmanned Aircraft Systems (UASs) for the optimal degree of autonomy that meets user requirements can be quite challenging. Researchers have focused on improving autonomy in UASs in conjunction with developing verification methods for autonomous UASs to ensure safe and reliable autonomous behavior, but little research has been conducted on requirements engineering for UASs to answer design questions and explore the trade space for using autonomy to satisfy user requirements.

ISBN: 9780355516630Subjects--Topical Terms:

519753
Robotics.

Autonomy Requirements Engineering for Unmanned Aircraft Systems during Concept Development Phase.
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100 1 $a Neace, Kerry S. $3 3341968
245 1 0 $a Autonomy Requirements Engineering for Unmanned Aircraft Systems during Concept Development Phase.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2017
300 $a 287 p.
500 $a Source: Dissertation Abstracts International, Volume: 79-03(E), Section: B.
500 $a Includes supplementary digital materials.
500 $a Advisers: Robert Roncace; Pavel Fomin.
502 $a Thesis (Ph.D.)--The George Washington University, 2017.
520 $a Designing Unmanned Aircraft Systems (UASs) for the optimal degree of autonomy that meets user requirements can be quite challenging. Researchers have focused on improving autonomy in UASs in conjunction with developing verification methods for autonomous UASs to ensure safe and reliable autonomous behavior, but little research has been conducted on requirements engineering for UASs to answer design questions and explore the trade space for using autonomy to satisfy user requirements.
520 $a This dissertation introduces a method to determine an optimal set of autonomous capabilities that satisfies UAS user requirements in the early stages of concept development. The method uses a modified Autonomy Requirements Engineering (ARE) process that applies quantitative measures and statistical analysis to Goal-Oriented Requirements Engineering (GORE). This method is demonstrated in a case study of a disaster robot UAS for which the autonomous requirements were optimized using a goal model developed in the Goal-oriented Requirement Language (GRL), as implemented in the modeling tool jUCMNav. The disaster robot UAS high-level goals of system performance, cost, and safety were evaluated using the formula-based GRL evaluation algorithm resident in jUCMNav Version 6.0.
520 $a An autonomy trade space study was conducted through a Design and Analysis of Simulation Experiments (DASE). The designed simulation experiment inserted the number of trials (evaluation strategies) and inputs into the goal model, and evaluation data were analyzed to optimize design factors based on user weightings of the response variables. This dissertation presents results and conclusions of ARE for UASs, demonstrating how to optimize autonomous capabilities for different design conditions.
590 $a School code: 0075.
650 4 $a Robotics. $3 519753
650 4 $a Systems science. $3 3168411
690 $a 0771
690 $a 0790
710 2 $a The George Washington University. $b Systems Engineering. $3 1032058
773 0 $t Dissertation Abstracts International $g 79-03B(E).
790 $a 0075
791 $a Ph.D.
792 $a 2017
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10621458