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Título
Metamorphic Testing of Autonomous Vehicles: a Case Study on Simulink
Autor-a
Valle Entrena, Pablo
Fecha de publicación
2021
Versión
Postprint
Tipo de documento
Contribución a congresoContribución a congreso
Idioma
eng
Derechos
© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Acceso
Acceso abierto
URI
https://hdl.handle.net/20.500.11984/5256
Versión de la editorial
https://doi.org/10.1109/ICSE-Companion52605.2021.00048
Publicado en
International Conference on Software Engineering (ICSE)  43. Madrid (Online), 25-28 mayo 2021
Editorial
IEEE
Resumen
Autonomous Vehicles (AVs) will revolutionize the way people travel by car. However, in order to deploy autonomous vehicles, effective testing techniques are required. The driving quality of an AV shou ... [+]
Autonomous Vehicles (AVs) will revolutionize the way people travel by car. However, in order to deploy autonomous vehicles, effective testing techniques are required. The driving quality of an AV should definitely be considered when testing such systems. However, as in other complex systems, determining the outcome of a test in the driving quality on an AV can be extremely complex. To solve this issue, in this paper we explore the application of Quality-of-Service (QoS) aware metamorphic testing to test AVs modeled in MATLAB/Simulink, one of the predominant modeling tools in the market. We first defined a set of QoS measures applied to AVs by considering as input a recent study. With them, we define metamorphic relations. Lastly we assess the approach in an AV modeled in Simulink by using mutation testing. The results suggests that our approach is effective at detecting faults. [-]
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Recolectado por:

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Validado por:

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DSpace