Test data automatic generation device and test data automatic generation method

Abstract

The invention provides a test data automatic generation device and a test data automatic generation method. The test data automatic generation device comprises a data storage unit, a sample data extraction unit, a data analysis unit, a test path generation unit, a data path generation unit and a test data generation unit, wherein the data storage unit stores a test object, metadata relation information and metadata dictionary value; the sample data extraction unit obtains sample data according to the metadata relation information; the data analysis unit performs hierarchical analysis on the test object according to the metadata dictionary value to obtain the Boolean matrix and the Boolean list; according to the pruning strategy, the test path generation unit treats the redundant parts and the conflict parts of the Boolean matrix and the Boolean list to obtain nodes of a test path, as well as the valid data range and the invalid data range of the Boolean list; according to the test object and the metadata relation information, the data path generation unit obtains nodes of a data path and generates node data of the data path by utilizing the nodes of the data path, the sample data, as well as the valid data range and the invalid data range of the Boolean list; the test data generation unit completes automatic generation of the test data according to the node data of the data path.

Description

technical field [0001] The invention relates to the field of data processing, in particular to a device and method for automatically generating test data. Background technique [0002] With the advent of the era of big data, businesses rely more and more on technology, and at the same time put forward higher requirements for software quality and R&D cycle. As the guardian of product quality, software testing urgently needs to find a A new idea and a new method to deal with the problems of software quality and testing efficiency under large-scale R&D. [0003] In the past, a project was jointly tested by multiple testers, with sufficient test time and sufficient human resources. Manual design of test paths, manual design of test data, and manual verification of test results can basically guarantee test quality. Today, simple manual operations can no longer meet the requirements for software quality under high-efficiency and high-intensity research and development. The main p...

AI Technical Summary

Problems solved by technology

[0008] In order to overcome the problems of omission of test points, incomplete test path coverage, test data not conforming to the business meaning and a large number of repeated manual operation

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