Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Concepts in testing of autonomous systems : Academic literature and industry practice

Song, Qunying LU orcid ; Engstrom, Emelie LU orcid and Runeson, Per LU orcid (2021) 1st IEEE/ACM Workshop on AI Engineering - Software Engineering for AI, WAIN 2021 In Proceedings - 2021 IEEE/ACM 1st Workshop on AI Engineering - Software Engineering for AI, WAIN 2021 p.74-81
Abstract

Testing of autonomous systems is extremely important as many of them are both safety-critical and security-critical. The architecture and mechanism of such systems are fundamentally different from traditional control software, which appears to operate in more structured environments and are explicitly instructed according to the system design and implementation. To gain a better understanding of autonomous systems practice and facilitate research on testing of such systems, we conducted an exploratory study by synthesizing academic literature with a focus group discussion and interviews with industry practitioners. Based on thematic analysis of the data, we provide a conceptualization of autonomous systems, classifications of challenges... (More)

Testing of autonomous systems is extremely important as many of them are both safety-critical and security-critical. The architecture and mechanism of such systems are fundamentally different from traditional control software, which appears to operate in more structured environments and are explicitly instructed according to the system design and implementation. To gain a better understanding of autonomous systems practice and facilitate research on testing of such systems, we conducted an exploratory study by synthesizing academic literature with a focus group discussion and interviews with industry practitioners. Based on thematic analysis of the data, we provide a conceptualization of autonomous systems, classifications of challenges and current practices as well as of available techniques and approaches for testing of autonomous systems. Our findings also indicate that more research efforts are required for testing of autonomous systems to improve both the quality and safety aspects of such systems.

(Less)
Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
autonomous system, Software testing
host publication
Proceedings - 2021 IEEE/ACM 1st Workshop on AI Engineering - Software Engineering for AI, WAIN 2021
series title
Proceedings - 2021 IEEE/ACM 1st Workshop on AI Engineering - Software Engineering for AI, WAIN 2021
article number
9474374
pages
8 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
1st IEEE/ACM Workshop on AI Engineering - Software Engineering for AI, WAIN 2021
conference location
Virtual, Online
conference dates
2021-05-30 - 2021-05-31
external identifiers
  • scopus:85113237901
  • scopus:85113237901
ISBN
9781665444705
DOI
10.1109/WAIN52551.2021.00018
project
WASP Software Engineering Cluster
Software testing of autonomous systems
language
English
LU publication?
yes
id
e07a8849-9bf2-40c4-aa37-da808ffea86c
alternative location
https://arxiv.org/abs/2103.07157
date added to LUP
2021-03-22 16:49:38
date last changed
2022-05-05 00:33:39
@inproceedings{e07a8849-9bf2-40c4-aa37-da808ffea86c,
  abstract     = {{<p>Testing of autonomous systems is extremely important as many of them are both safety-critical and security-critical. The architecture and mechanism of such systems are fundamentally different from traditional control software, which appears to operate in more structured environments and are explicitly instructed according to the system design and implementation. To gain a better understanding of autonomous systems practice and facilitate research on testing of such systems, we conducted an exploratory study by synthesizing academic literature with a focus group discussion and interviews with industry practitioners. Based on thematic analysis of the data, we provide a conceptualization of autonomous systems, classifications of challenges and current practices as well as of available techniques and approaches for testing of autonomous systems. Our findings also indicate that more research efforts are required for testing of autonomous systems to improve both the quality and safety aspects of such systems. </p>}},
  author       = {{Song, Qunying and Engstrom, Emelie and Runeson, Per}},
  booktitle    = {{Proceedings - 2021 IEEE/ACM 1st Workshop on AI Engineering - Software Engineering for AI, WAIN 2021}},
  isbn         = {{9781665444705}},
  keywords     = {{autonomous system; Software testing}},
  language     = {{eng}},
  month        = {{03}},
  pages        = {{74--81}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{Proceedings - 2021 IEEE/ACM 1st Workshop on AI Engineering - Software Engineering for AI, WAIN 2021}},
  title        = {{Concepts in testing of autonomous systems : Academic literature and industry practice}},
  url          = {{http://dx.doi.org/10.1109/WAIN52551.2021.00018}},
  doi          = {{10.1109/WAIN52551.2021.00018}},
  year         = {{2021}},
}