A Roadmap for Software Testing in Open-Collaborative and AI-Powered Era

Internet technology has given rise to an open-collaborative software development paradigm, necessitating the open-collaborative schema to software testing. It enables diverse and globally distributed contributions, but also presents significant challenges to efficient testing processes, coordination among personnel, and management of testing artifacts. At the same time, advancements in AI have enhanced testing capabilities and enabling automation, while also introducing new testing needs and unique challenges for AI-based systems. In this context, this article explores software testing in the open-collaborative and AI-powered era, focusing on the interrelated dimensions of process, personnel, and technology. Among them, process involves managing testing workflows and artifacts to improve efficiency, personnel emphasizes the role of individuals in ensuring testing quality through collaboration and contributions, while technology refers to AI methods that enhance testing capabilities and address challenges in AI-based systems. Furthermore, we delve into the challenges and opportunities arising from emerging technologies such as Large Language Models (LLMs) and the AI model-centric development paradigm.