Test evidence obtaining method and device, model training method and device, equipment and storage medium

Abstract

The invention discloses a test evidence obtaining method and device, a model training method and device, equipment and a storage medium. The test evidence obtaining method comprises the steps of obtaining and executing a test case to be subjected to evidence obtaining; performing screen recording on screen display content when the test case is executed, and obtaining a screen recording video; comparing each video frame of the screen recording video with evidence obtaining content to obtain a comparison result; and performing evidence obtaining operation on the corresponding video frame according to the comparison result. Through the invention, automatic evidence obtaining can be carried out on output and important test processes in the whole test process, automatic test evidence obtaining is realized, manual intervention is not needed in the whole process, and thus the test efficiency is improved.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, and involves but is not limited to a test and evidence collection method, a model training method, a device, a device, and a storage medium. Background technique [0002] During the software testing process, it is often necessary to take corresponding screenshots as proof and attach them to the software testing system (such as Testrail) or the software testing report. [0003] In the related technology, the test evidence collection method in the test mode includes manual screenshot forensics and automatic screenshot forensics. In the manual screenshot forensics, the tester manually takes screenshots, and manually renames, saves and uploads them to a designated location, which is very inefficient. And because most of the tests need to be carried out overnight, it is easy for people to make mistakes at night. In addition, once a screenshot is missed, the test work needs t...

AI Technical Summary

Problems solved by technology

[0006] Then, for the above-mentioned test and evidence collection methods in related technologies, generally speaking, there are the following significant disadvantages: 1) complete manual intervention, low efficiency, high error rate, high test cost, and at the same time, rework is often required; 2) related technologies The RPA technology in it can only solve simple and repetitive test scenarios, which are less than 5% in the usual software testing work; 3) For the situation where intermediate output needs to be captured, since the screen is always outputting code, manual operation It is difficult to capture accurately and it is easy to interrupt the testing process

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