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"Metamorphic Testing Harness for the Baidu Apollo Perception-Camera Mod" by Yifan Zhang, Dave Towey et al.

As the complexity of autonomous driving systems (ADSs) increases, the question of how to organize testing in an efficient manner has become a serious issue. This study investigates the potential for metamorphic testing (MT) to evaluate the perception-camera module of an open-source autonomous driving system (ADS), namely Baidu's Apollo ADS. The experiments revealed inconsistent obstacle identification results when increasing the brightness of a specific region of the driving scenarios, both in individual and sequential frames, demonstrating the ability of MT to address the oracle problem when testing the perception module of ADSs. Furthermore, this paper presents an MT harness to facilitate ADS testing, which would increase efficiency and help testers to better organize the testing procedure. We also present an industry case study to demonstrate its use in actual production phases. ....

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"Preparing Future SQA Professionals: An Experience Report of Metamorphi" by Yifan Zhang, Matthew Pike et al.

Computing systems are becoming increasingly complex and sophisticated. Technologies such as artificial intelligence, big data, and autonomous vehicles are pushing the boundaries of system size, complexity, and comprehensibility beyond anything seen before. These advances, however, have left the associated software quality assurance (SQA) tools and processes behind. This is compounded by many training and education programs also not attempting to address this inadequacy in the preparation of future software engineering professionals. We face a situation of extensively-deployed advanced computing systems, many of which lack sufficient SQA support. Metamorphic Testing (MT) and Metamorphic Exploration (ME) are SQA approaches that have a record of being able to alleviate some of the challenges associated with the advanced computer systems. This paper reports on an MT/ME experience with the Baidu Apollo autonomous driving system (ADS). The experience included identifying an apparent problem ....

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