Abstract: Aiming at the pain points of high labor and time costs, limited testing sites, complex data semantics, and difficultity on control of test risks in current testing scenarios of synchronization, this paper proposes a test inspection technical solution based on artificial intelligence technology for synchronizaiton. In this scheme, firstly the synchronization testing pattern classification and anomaly detection algorithm are implemented, secondly, relying on the cloud computing plus big data platform, the synchronization test inspection system is developed, and finally the related experiment verification is carried out. The experimental results show that the technical solution can automatically perform synchronization test intelligent inspections, discovering test abnormalities in time, improving test efficiency and reducing test risks to a certain extent.

Key words: artificial intelligence, synchronization, testing inspection, big data, cloud computing