Test data construction method and construction system

Abstract

The embodiment of the invention provides a test data construction method and a construction system, and the method comprises the steps: collecting test data from different sources, and enabling the test data to comprise interface data, flow data and case combination data; uploading the test data to a unified data resource pool for storage; and classifying the different test data according to a certain rule through machine learning, and combining the classified data obtained after classification to obtain new test data. By collecting and uniformly storing test data from different sources and classifying and combining different test data according to machine learning, new test data are obtained, multiple test data can be quickly and conveniently obtained, the coverage range is wide, and thepreparation efficiency and the coverage rate of the test data are integrally improved.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a method and system for constructing test data. Background technique [0002] At present, most products are composed of many different systems, and there is often a large amount of data interaction between each system, and these data have specific business meanings. During the development and testing process, a large amount of test data needs to be prepared for system function testing and verification, as well as system joint debugging, and these data are not completely random data, but business data with business meaning. [0003] At present, the preparation of these data is basically done manually, that is, testers prepare test data according to different business scenarios. Including different types of interface data of the same interface, as well as joint debugging process data of different interfaces, and use case combination test data formed by combining different proces...

AI Technical Summary

Problems solved by technology

[0004] Preparing these data takes a lot of time and energy, and requires personnel to be very clear about all scenarios. For complex scenarios or process scenarios, the scenarios that testers think of are limited, and it is inevitable that there will be missed tests, and the use cases that testers think of Combinations of may be missing steps due to time constraints etc.

[0005] Therefore, the inventor believes that the above-mentioned test data construction method has great limitations, and preparing these data requires a lot of time and energy, which is inefficient, and there is a problem that it is difficult to fully cover test cases in different scenarios

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