Metamorphic testing has become one mainstream technique to address the notorious oracle problem in software testing, thanks to its great successes in revealing real-life bugs in a wide variety of software systems. Metamorphic relations, the core component of metamorphic testing, have continuously attracted research interests from both academia and industry. In the last decade, a rapidly increasing number of studies have been conducted to systematically generate metamorphic relations from various sources and for different application domains. In this article, based on the systematic review on the state of the art for metamorphic relations' generation, we summarize and highlight visions for further advancing the theory and techniques for identifying and constructing metamorphic relations, and discuss potential research trends in related areas.
Search-Based Metamorphic Testing of Vision-Language Models in Autonomous Underwater Robotic Software
Simula Research Laboratory（Simula 研究实验室）；Oslo Metropolitan University（奥斯陆都市大学）；Mondragon University（蒙德拉贡大学）；National Institute of Informatics（国立情报学研究所）；Group Research and Development, DNV AS（DNV AS 集团研发部）
MR-Coupler: Automated Metamorphic Test Generation via Functional Coupling Analysis
The Hong Kong University of Science and Technology（香港科学与技术大学）；Guangzhou HKUST Fok Ying Tung Research Institute（广州HKUST傅以刚研究所）；University of Auckland（奥克兰大学）
The Future of Generative AI in Software Engineering: A Vision from Industry and Academia in the European GENIUS Project
Akkodis Germany Solutions GmbH（德国Akkodis解决方案公司）；University of Hildesheim（希尔德斯海姆大学）；University of Innsbruck（因斯布鲁克大学）；Bilkent University（比尔肯特大学）；King’s College London（伦敦国王学院）
