Generation method and device for test data of bank application

Abstract

The application provides a generation method and device for test data of a bank application. The method comprises the following steps: receiving test data demand information inputted according to a demand parameter configuration list, wherein the test data demand information comprises numbers and / or characters with business meanings; searching business rules corresponding to the test data demand information in a database and generating initial test data corresponding to the business rules according to the business rules; and integrating the initial test data and generating the test data of thebank application. By applying all embodiments of the application, automatic generation of the test data of the bank application is achieved. Generation efficiency and accuracy of the test data of thebank application are improved.

Description

Technical field [0001] This application belongs to the technical field of software testing, and in particular relates to a method and device for generating bank application test data. Background technique [0002] In the software development process, in order to verify the stability of the software, software testing is usually required. A very important job in the software testing process is to generate and maintain test data, and this job is tedious, repetitive and error-prone. The difference between the test data of banking applications and the test data of other industries is that the test data itself often has certain business implications. Therefore, the rapid generation of test data for banking applications is the key to the development of banking applications. [0003] In the prior art, the main sources for obtaining bank-type test data are: the first is to construct complete data based on the analysis of the test system requirements and for normal business, abnormal condit...

AI Technical Summary

Problems solved by technology

The first method requires developers to have a high level of business understanding, and complete the analysis of the entire business process at the beginning of the unit test phase and the assembly test phase, which requires a high level of comprehensive ability for testers

Especially in the process of parallel task development, incomplete test analysis and missing test points are prone to occur, resulting in low quality test data and affecting test quality

In the second method, due to the sensitivity of banking business data, production data cannot be used directly. If it is used, it must be based on maintaining the characteristics of the original data and eliminating sensitive information.

Even if the production data is used after data bleaching, some specific business scenarios (special outliers, etc.) have limitations and cannot be adapted to all test scenarios

Moreover, the production volume of banking applications is huge (about 4T can be used after discarding part of the data), and the whole process takes a lot of time from the time of data acquisition to the completion of data loading, and the preparation time of test data is too long

The third method is that the current manual generation of test data is generally generated through front-end interface function calls or interface calls. When performing performance tests on the system, it is often necessary to generate a large amount of test data in the background database, which cannot be satisfied by manual operations alone. Batch data generation conditions, further affecting test quality

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