Dissertation/Thesis Abstract

A Dissertation on the Testing Approaches of Autonomous Cyber-Physical Systems
by Behles, Cody, Ph.D., The University of Memphis, 2020, 118; 28002820
Abstract (Summary)

Testing is among the most critical parts of the development of any system. As technology becomes more advanced, and we continue towards a world defined by integration of advanced features and capabilities (such as being able to think for themselves) in every object, the ability to test these objects becomes infinitely more complicated. This work addresses the testing of autonomous cyber-physical systems (TACPS) by examining current industry best practices as ascertained from interviews with professionals working in the field. Through the interview data provided this work seeks a better understanding of how these systems are tested, the integrated approaches used in testing these systems, and the direction of the industry in the near future. Of interest to readers is investigation of the role of simulation in these testing environments because this work shows how a mix of simulation approaches is combined to overcome development timeline limitations while also addressing a high threshold of safety concerns in a vacuum of clearly defined standards. The results of this work include a series of best practices for professionals performing TACPS and seeks to provide a snapshot of a rapidly evolving landscape defined by emerging technologies that will eventually transform the way all people interact with the physical world. Given the uncertainty and lack of a comprehensive set of defined standards for TACPS, this research seeks to answer the question: How are autonomous cyber-physical systems (ACPS) tested?

Indexing (document details)
Advisor: Gillenson, Mark
Commitee: Poston, Robin
School: The University of Memphis
Department: Liberal Studies
School Location: United States -- Tennessee
Source: DAI-B 82/1(E), Dissertation Abstracts International
Subjects: Systems science, Artificial intelligence
Keywords: Autonomous cyber-physical systems, Autonomous systems, Cyber-physical systems, Digital twin, Simulation testing, Systems testing
Publication Number: 28002820
ISBN: 9798662404014
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