Software testing method and device, equipment and storage medium
A testing method and software testing technology, applied in the field of artificial intelligence, can solve problems such as difficult backtracking and long trading software testing cycle, and achieve the effects of improving accuracy, facilitating data reference and calibration, and improving reliability and authenticity
Pending Publication Date: 2022-04-05
PING AN SECURITIES CO LTD
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Problems solved by technology
[0004] The main purpose of this application is to provide a software testing method, device, medium and equipment, aiming to solve the technical problems of the transaction software testing period in the prior art that is long and difficult to trace back
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[0046] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.
[0047] refer to figure 1 , in order to achieve the purpose of the above invention, this embodiment proposes a software testing method, the method comprising:
[0048] S1: Obtain time information in response to the software test instruction, and select pre-stored calculation rules in the database according to the time information;
[0049] S2: Obtain discrete historical data according to the time information, and perform time alignment on the discrete historical data to obtain a historical fluctuation data set;
[0050] S3: Analyzing and obtaining initial transaction data...
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The invention relates to the technical field of artificial intelligence, and discloses a software testing method and device, a medium and equipment, and the method comprises the steps: obtaining time information in response to a software testing instruction, and selecting a pre-stored calculation rule in a database according to the time information; obtaining discrete historical data according to the time information, and performing time alignment on the discrete historical data to obtain a historical fluctuation data set; analyzing the software test instruction to obtain initial transaction data, and calibrating the initial transaction data according to the historical fluctuation data set to obtain target transaction data; and calculating the transaction test result corresponding to the target transaction data through the calculation rule based on a pre-trained test model, thereby reducing the overall test period of transaction software and improving the traceability of the test.
Description
technical field [0001] This application relates to the technical field of artificial intelligence, in particular to a software testing method, device, medium and equipment. Background technique [0002] At present, there are various fixed-income business products, and there are complex trading relationships between various financial products. The quantitative strategy trading program is a product developed to help traders conduct automated transactions, and the quantitative strategy trading program often contains many strategy parameters, which need to be carried out Continuous parameter tuning can maximize the accuracy of quantitative strategy trading program calculations and avoid trading losses due to wrong parameter configurations. [0003] However, there is a lack of effective backtesting methods for quantitative strategy trading programs in the prior art, resulting in new quantitative strategy trading program software tools that can only be backtested through actual tr...
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Inventor 杨力坤
Owner PING AN SECURITIES CO LTD