Testing method, device, equipment, medium and program product for online system

By building a multi-layer message node network and using graph embedding technology and neural network models, the online system automatically learns the categories and group relationships of business messages, solving the problem of heavy workload in online system update and upgrade testing and achieving an efficient and accurate testing process.

CN118194174BActive Publication Date: 2025-09-12CHINA UNIONPAY
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Patent Information

Application Number
CN202410331354.8
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-03-21
Publication Date
2025-09-12
Estimated Expiration
2044-03-21

AI Technical Summary

Technical Problem

During the update and upgrade process of the existing online system, the testing workload is large, and the addition of new business categories or external interactive interfaces requires manual development and configuration, resulting in low testing efficiency.

Method used

By building a multi-layer message node network and utilizing graph embedding technology and neural network models, we can automatically learn the categories and group relationships of business messages, realize automatic division and sending of business messages, and reduce manual development and configuration work.

Benefits of technology

It improves the efficiency and accuracy of online system testing, reduces development workload, and can automatically adapt to new message categories or changes in external interactive interfaces.

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Abstract

The present application discloses a testing method, device, equipment, medium and program product for an online system, which belongs to the field of data processing. The method includes: constructing a multi-layer message node network based on the business message characteristics of the acquired business message, the multi-layer message node network includes message nodes and connection edges between message nodes; according to the multi-layer message node network, using graph embedding technology and neural network model, obtaining the category of the business message; according to the business message, the category of the business message and the pre-trained business message family division model, obtaining at least one target business message family, the business message family division model is obtained based on the training of the known business message families in the production environment, and the business message family is a collection of business messages of the categories required to realize the business function; according to the set test strategy, sending the business messages in the target business message family to the test application. According to the embodiment of the present application, the development workload of online system testing can be reduced.
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