With the increasing complexity of software information systems, software quality assurance faces enormous challenges. The software information system is more and more complex, and the quality requirements are getting higher and higher. The traditional automated test methods and tools can not adapt to the changing test requirements. The research on the independent controllable intelligent test platform based on cloud computing and big data will be carried out. The combination of platform and software testing not only reduces test costs, but also improves test efficiency and effectiveness. This paper analyzes the status quo and gaps of the intelligent cloud test platform at home and abroad, and presents the research content and technical solutions of an autonomous and controllable intelligent cloud test platform. First, we make research on the rapid construction technology of large-scale test environment for heterogeneous independent platforms,that is, mirror virtualization and rapid combined deployment technology of software testing tool environment;secondly,we study complex business scenario model generation technologies, including domain analysis and modeling of information systems, formal definition of model-based complex business scenarios and rapid construction technology;finally, we study the automatic generation technology of test cases for complex business scenarios, aiming to make full use of complex business scenario models and full-link historical test data.