Projekt per år
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.
|Titel på värdpublikation||Proceedings - 2021 IEEE/ACM 1st Workshop on AI Engineering - Software Engineering for AI, WAIN 2021|
|Förlag||IEEE - Institute of Electrical and Electronics Engineers Inc.|
|Status||Published - 2021|
|Evenemang||1st IEEE/ACM Workshop on AI Engineering - Software Engineering for AI, WAIN 2021 - Virtual, Online|
Varaktighet: 2021 maj 30 → 2021 maj 31
|Namn||Proceedings - 2021 IEEE/ACM 1st Workshop on AI Engineering - Software Engineering for AI, WAIN 2021|
|Konferens||1st IEEE/ACM Workshop on AI Engineering - Software Engineering for AI, WAIN 2021|
|Period||2021/05/30 → 2021/05/31|
FingeravtryckUtforska forskningsämnen för ”Concepts in testing of autonomous systems: Academic literature and industry practice”. Tillsammans bildar de ett unikt fingeravtryck.
Software testing of autonomous systems
Song, Q., Runeson, P. & Engström, E.
2020/01/01 → …
WASP Software Engineering Cluster
2020/01/01 → 2021/08/31