Overview
- Presents a unique approach to handling autonomy requirements
- Provides a unique perspective on how software engineers may efficiently build autonomous spacecraft capable of self-adaptation
- Addresses key issues in unmanned spacecraft engineering
- Delivers a comprehensive "state of the art" on software engineering for aerospace
- Includes supplementary material: sn.pub/extras
Part of the book series: NASA Monographs in Systems and Software Engineering (NASA)
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Table of contents (5 chapters)
Keywords
About this book
Advanced space exploration is performed by unmanned missions with integrated autonomy in both flight and ground systems. Risk and feasibility are major factors supporting the use of unmanned craft and the use of automation and robotic technologies where possible. Autonomy in space helps to increase the amount of science data returned from missions, perform new science, and reduce mission costs.
Elicitation and expression of autonomy requirements is one of the most significant challenges the autonomous spacecraft engineers need to overcome today. This book discusses the Autonomy Requirements Engineering (ARE) approach, intended to help software engineers properly elicit, express, verify, and validate autonomy requirements. Moreover, a comprehensive state-of-the-art of software engineering for aerospace is presented to outline the problems handled by ARE along with a proof-of-concept case study on the ESA's BepiColombo Mission demonstrating the ARE’s ability to handle autonomy requirements.
Authors and Affiliations
Bibliographic Information
Book Title: Autonomy Requirements Engineering for Space Missions
Authors: Emil Vassev, Mike Hinchey
Series Title: NASA Monographs in Systems and Software Engineering
DOI: https://doi.org/10.1007/978-3-319-09816-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-09815-9Published: 09 September 2014
Softcover ISBN: 978-3-319-38403-0Published: 10 September 2016
eBook ISBN: 978-3-319-09816-6Published: 27 August 2014
Series ISSN: 1860-0131
Series E-ISSN: 2197-6597
Edition Number: 1
Number of Pages: XVII, 250
Number of Illustrations: 38 b/w illustrations
Topics: Artificial Intelligence, Software Engineering, Models and Principles, Artificial Intelligence