Test case scoring model training method and test case selection method

A test case and model training technology, applied in the computer field, can solve the problems of low software testing efficiency and low test case selection efficiency, and achieve the effect of ensuring data privacy

Pending Publication Date: 2021-06-11
WEBANK (CHINA)
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] For a project without sufficient testing experience, the selection of test cases can only be made based on the experience of the testers.
The test cases selected in this way are not necessarily applicable to the current project, resulting in low test case selection efficiency and low software testing efficiency

Method used

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  • Test case scoring model training method and test case selection method
  • Test case scoring model training method and test case selection method
  • Test case scoring model training method and test case selection method

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Embodiment Construction

[0062] An exemplary embodiment of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the drawings, it is understood that the present disclosure can be implemented in various forms and should not be restricted herein. Instead, it is provided to provide more thoroughly understood the present disclosure, and can communicate the scope of the disclosure to those skilled in the art.

[0063] In the software testing process, many test cases generally need to be tested to test software functions as much as possible to test software functionality or logic is issued.

[0064] As software features are more and more, the test cases needed are more. However, in some cases, the restriction of the release time may only be permitted to perform a certain amount of test case. This requires the test cases that can efficiently test software performance as much as possible....

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Abstract

The invention discloses a test case scoring model training method and a test case selection method. The test case scoring model training method comprises the following steps: determining a plurality of historical test cases for software testing; generating a training sample according to the historical test case, wherein the training sample comprises feature information of the historical test case and a defect discovery rate of the historical test case; according to the training sample, in combination with other participants, performing model training based on transverse federated learning, wherein a finally obtained test case scoring model is used for predicting a corresponding defect discovery rate according to feature information of a plurality of alternative test cases, and selecting an actual test case from the plurality of alternative test cases according to the predicted defect discovery rate. The model is trained based on a large amount of sample data by combining a plurality of participants, the method can be used for predicting the defect discovery rate of the test case, effective reference is provided for selection of the test case, the test case selection efficiency is improved, and the software test efficiency is improved.

Description

Technical field [0001] The present invention relates to the field of computer, in particular, to a test case model training method and test case selection method. Background technique [0002] Intelligent equipment is popular, and the software is more and more software. Before the software is released, you need to test the functions of the software, which is used to use the test case. Test case refers to a description of a specific software product to test tasks, reflects test schemes, methods, techniques, and strategies. Its content includes test objectives, test environments, input data, test steps, expected results, test scripts, etc., eventually form a document. [0003] As software features increase, the required test cases are increasing. Limited by the release time, there may be not enough time to perform all use cases. This requires selection of some test cases in many test cases to perform software testing as efficiently as possible. [0004] For projects that are not en...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F11/36
CPCG06F11/3684
Inventor 高苡新濮声颖
Owner WEBANK (CHINA)
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