Preparing Future SQA Professionals: An Experience Report of Metamorphic Exploration of an Autonomous Driving System

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Preparing Future SQA Professionals: An Experience Report of Metamorphic Exploration of an Autonomous Driving System

Yifan Zhang, Matthew Pike, Dave Towey, Jia Cheng Han, Zhi Quan Zhou

IEEE Global Engineering Education Conference (EDUCON) | 2022 | View on Publisher's Website

Abstract

This paper presents an experience report of using Metamorphic Exploration (ME) on the Baidu Apollo Autonomous Driving System (ADS). The experience included identifying an apparent problem in Apollo, which was later confirmed to be a misunderstanding, but which illustrated the potential for ME to scaffold learning how to perform Software Quality Assurance (SQA) on such complex systems. The report highlights the challenges of testing ADSs, particularly due to the lack of test oracles, and demonstrates how ME can be used to better understand and test these systems. The findings are of benefit to ADS developers and testers, other SQA professionals, and especially to SQA trainers and educators, as ME offers a valuable approach to teaching and training future SQA professionals.