Concepts in testing of autonomous systems : Academic literature and industry practice
(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.
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- author
- Song, Qunying LU ; Engstrom, Emelie LU and Runeson, Per LU
- organization
- publishing date
- 2021-03-12
- 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}}, }