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Test result classification model training method and device and test result classification method and device

A classification model and test result technology, applied in the financial field, can solve problems such as high cost of manual classification, poor classification effect, and classification limitations, and achieve the effect of overcoming poor classification effect and high classification accuracy

Pending Publication Date: 2021-10-19
INDUSTRIAL AND COMMERCIAL BANK OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the process of realizing the concept of the present disclosure, the inventor found that there are at least technical problems in related technologies such as limited classification, poor classification effect and high cost of manual classification

Method used

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  • Test result classification model training method and device and test result classification method and device
  • Test result classification model training method and device and test result classification method and device
  • Test result classification model training method and device and test result classification method and device

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Embodiment Construction

[0066] Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. It should be understood, however, that these descriptions are exemplary only, and are not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the present disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. Also, in the following description, descriptions of well-known structures and techniques are omitted to avoid unnecessarily obscuring the concepts of the present disclosure.

[0067] The terminology used herein is for the purpose of describing particular embodiments only, and is not intended to be limiting of the present disclosure. The terms "comprising", "comprising", etc. used herein indicate the presence of stated features,...

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Abstract

The invention provides a test result classification model training method which is applied to the financial field, the artificial intelligence field or other fields. The test result classification model training method comprises the steps that a plurality of log texts are obtained, and each log text comprises a case of automatic test execution failure; a training sample data set is generated according to the multiple log texts, and the training sample data set comprises a word vector matrix and label information of the word vector matrix; and the to-be-trained test result classification model is trained by using the training sample data set to obtain a test result classification model for classifying the automatic test results. The invention further provides a test result classification method, a test result classification model training device, a test result classification device, electronic equipment, a computer readable storage medium and a computer program product.

Description

technical field [0001] The present disclosure relates to the financial field and the technical field of artificial intelligence, and more specifically, to a test result classification model training method, classification method, device, electronic equipment, computer readable storage medium and computer program product. Background technique [0002] As the importance of automated testing becomes higher and higher, the corresponding execution frequency is also faster and faster. Each execution will generate a large number of results. Among them, the failed execution results need to be manually classified by testers. In related technologies, some The keyword and the comparison rule of the category, the key error log of the failed execution result and the preset keyword rules are used for string matching, and the matching results are classified according to the matching results to achieve the purpose of analysis. [0003] In the process of realizing the concept of the present ...

Claims

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Application Information

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IPC IPC(8): G06F16/35G06F11/36G06N3/04G06N3/08
CPCG06F16/353G06F16/355G06F11/3692G06N3/084G06N3/048G06N3/045
Inventor 丁乐乐冯城城郭晟郑华美
Owner INDUSTRIAL AND COMMERCIAL BANK OF CHINA
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