Enhancing ADS Testing: An Open Educational Resource for Metamorphic Testing

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Enhancing ADS Testing: An Open Educational Resource for Metamorphic Testing

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

IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC) | 2024 | View on Publisher's Website

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.