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On the Practices of Autonomous Systems Development: Survey-based Empirical FindingsAutonomous systems have gained an important role in many industry domains and are beginning to change everyday life. However, due to dynamically emerging applications and often proprietary constraints, there is a lack of information about the practice of developing autonomous systems. This paper presents the first part of the longitudinal study focused on establishing state-of-the-practice, identifying and quantifying the challenges and benefits, identifying the processes and standards used, and exploring verification and validation (V&V) practices used for the development of autonomous systems. The results presented in this paper are based on data about software systems that have autonomous functionality and may employ model-based software engineering (MBSwE) and reuse. These data were collected using an anonymous online survey that was administered in 2019 and were provided by experts with experience in the development of autonomous systems and / or the use of MBSwE. Our current work is focused on repeating the survey to collect more recent data and discover how the development of autonomous systems has evolved over time.
Document ID
20250003960
Acquisition Source
Ames Research Center
Document Type
Preprint (Draft being sent to journal)
Authors
Katerina Goseva-Popstojanova
(West Virginia University Morgantown, West Virginia, United States)
Denny Hood
(West Virginia University Morgantown, West Virginia, United States)
Johann Schumann
(KBR Wyle)
Noble Nkwocha
(Katherine Johnson Independent Verification and Validation Facility Fairmont, United States)
Date Acquired
April 21, 2025
Publication Date
May 1, 2025
Publication Information
Publication: arXiv
Publisher: Cornell University
URL: arxiv.org
Subject Category
Computer Systems
Computer Programming and Software
Funding Number(s)
CONTRACT_GRANT: ISRDS-3
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
NASA Peer Committee
Keywords
survey
software reuse
model-based software engineering
autonomous systems
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