Enhancing ADS Testing: An Open Educational Resource for Metamorphic Testing

Yifan Zhang; Dave Towey; Matthew Pike; Zhi Quan Zhou; Tsong Yueh Chen

doi:10.1109/COMPSAC61105.2024.00029

Enhancing ADS Testing: An Open Educational Resource for Metamorphic Testing

Yifan Zhang, Dave Towey, Matthew Pike, Zhi Quan Zhou, Tsong Yueh Chen

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

Abstract

This study introduces a website serving as an Open Educational Resource (OER), dedicated to Metamorphic Testing (MT) and Metamorphic Relation (MR) generation, with a specific focus on Autonomous Driving Systems (ADSs). It offers a comprehensive introduction to MT and ADSs, and presents a specially designed scenario template that simplifies the MR generation process for ADS functions. This template enhances accessibility, making it more user-friendly for a wider audience, and facilitates systematic application, ensuring that users can apply test case and MR generation in a structured and organized manner. The MR generation guidelines that work with the template lower the learning barrier for beginners in MT, thus facilitating easier adoption and application of MT to ADSs.

Original language	English
Title of host publication	2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC)
Publisher	IEEE
Pages	138-147
Number of pages	10
ISBN (Electronic)	9798350376968
ISBN (Print)	9798350376975
DOIs	https://doi.org/10.1109/COMPSAC61105.2024.00029
Publication status	Published - 2024

Keywords

Metamorphic testing
open educational resource
autonomous driving system
metamorphic relation
driving scenarios

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10.1109/COMPSAC61105.2024.00029

Cite this

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title = "Enhancing ADS Testing: An Open Educational Resource for Metamorphic Testing",

abstract = "This study introduces a website serving as an Open Educational Resource (OER), dedicated to Metamorphic Testing (MT) and Metamorphic Relation (MR) generation, with a specific focus on Autonomous Driving Systems (ADSs). It offers a comprehensive introduction to MT and ADSs, and presents a specially designed scenario template that simplifies the MR generation process for ADS functions. This template enhances accessibility, making it more user-friendly for a wider audience, and facilitates systematic application, ensuring that users can apply test case and MR generation in a structured and organized manner. The MR generation guidelines that work with the template lower the learning barrier for beginners in MT, thus facilitating easier adoption and application of MT to ADSs.",

keywords = "Metamorphic testing, open educational resource, autonomous driving system, metamorphic relation, driving scenarios",

author = "Yifan Zhang and Dave Towey and Matthew Pike and Zhou, {Zhi Quan} and Chen, {Tsong Yueh}",

year = "2024",

doi = "10.1109/COMPSAC61105.2024.00029",

language = "English",

isbn = "9798350376975",

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booktitle = "2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC)",

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T1 - Enhancing ADS Testing: An Open Educational Resource for Metamorphic Testing

AU - Zhang, Yifan

AU - Towey, Dave

AU - Pike, Matthew

AU - Zhou, Zhi Quan

AU - Chen, Tsong Yueh

PY - 2024

Y1 - 2024

N2 - This study introduces a website serving as an Open Educational Resource (OER), dedicated to Metamorphic Testing (MT) and Metamorphic Relation (MR) generation, with a specific focus on Autonomous Driving Systems (ADSs). It offers a comprehensive introduction to MT and ADSs, and presents a specially designed scenario template that simplifies the MR generation process for ADS functions. This template enhances accessibility, making it more user-friendly for a wider audience, and facilitates systematic application, ensuring that users can apply test case and MR generation in a structured and organized manner. The MR generation guidelines that work with the template lower the learning barrier for beginners in MT, thus facilitating easier adoption and application of MT to ADSs.

AB - This study introduces a website serving as an Open Educational Resource (OER), dedicated to Metamorphic Testing (MT) and Metamorphic Relation (MR) generation, with a specific focus on Autonomous Driving Systems (ADSs). It offers a comprehensive introduction to MT and ADSs, and presents a specially designed scenario template that simplifies the MR generation process for ADS functions. This template enhances accessibility, making it more user-friendly for a wider audience, and facilitates systematic application, ensuring that users can apply test case and MR generation in a structured and organized manner. The MR generation guidelines that work with the template lower the learning barrier for beginners in MT, thus facilitating easier adoption and application of MT to ADSs.

KW - Metamorphic testing

KW - open educational resource

KW - autonomous driving system

KW - metamorphic relation

KW - driving scenarios

U2 - 10.1109/COMPSAC61105.2024.00029

DO - 10.1109/COMPSAC61105.2024.00029

M3 - Conference contribution

SN - 9798350376975

SP - 138

EP - 147

BT - 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC)

PB - IEEE

ER -

Enhancing ADS Testing: An Open Educational Resource for Metamorphic Testing

Abstract

Keywords

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