Staged workload prediction method and system based on composite variable characteristics

A prediction method and workload technology, applied in prediction, software testing/debugging, error detection/correction, etc., can solve the problems of insufficient accuracy and inability to refine the testing workload

Pending Publication Date: 2022-03-25
CHINA CITIC BANK
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  • Claims
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AI Technical Summary

Problems solved by technology

Although the principles of these existing methods are different, most of them are related to the development workload, and other influencing factors are considered limited. The estimated testing workload is often not accurate enough, and cannot be refined to each stage of the project testing work

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  • Staged workload prediction method and system based on composite variable characteristics
  • Staged workload prediction method and system based on composite variable characteristics
  • Staged workload prediction method and system based on composite variable characteristics

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Embodiment Construction

[0046] In order to understand the content of the present invention more clearly, it will be described in detail with reference to the drawings and embodiments.

[0047] Such as figure 1 Shown is a schematic flow chart of the staged workload prediction method based on the compound variable characteristics of the present invention, which mainly includes:

[0048] S1. Establish a test workload forecasting model structure comprising several independent variables and model parameters according to the characteristics of each relevant variable of the project test, as shown in formula 1, the independent variables match specific variable characteristics respectively;

[0049]

[0050] in, To predict the total workload, w 1 ,w 2 ,w 3 ,w 4 ,w 5 ,w 6 ,w 7 , b is the model parameter;

[0051] x 1 to x 7 is the variable characteristic, x 1 Development workload for the project, in person / day; x 2It is the project test execution mode, and the value range is any integer from 0...

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Abstract

The invention relates to a staged workload prediction method and system based on composite variable characteristics, and the method comprises the steps: building a test workload prediction model and a staged workload prediction model, and firstly, obtaining the total prediction workload through the test workload prediction model; the total prediction workload is used as input, a staged workload prediction model is used for calculation to obtain the predicted staged workload, and aiming at the problem of how to evaluate the project test workload, on the basis of fully considering various influence factors, a linear regression algorithm and a variational self-encoding VAE algorithm are used for evaluating the project test workload. And predicting the overall test workload of the project and the workload of each stage of the project test work so as to achieve the purpose of accurately predicting the project test workload.

Description

technical field [0001] The invention relates to the technical field of software system development and testing, in particular to a stage-by-stage workload prediction method and system based on compound variable characteristics. Background technique [0002] The test cycle is a very important link in the whole test process. When each project is countersigned, testers need to evaluate the test workload of the project based on the existing project information. The more accurate the test workload evaluation, the better the grasp of the overall rhythm of the project. It is more beneficial, and it is related to the overall launch plan and version rhythm of the project. To determine the test cycle, the workload of the test must first be evaluated. The more accurate the evaluation of the test workload, the better the grasp of the overall rhythm of the project. Too much workload evaluation will affect the overall progress of the project, and the work intensity and efficiency of the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F11/36G06Q10/04
CPCG06F11/3672G06Q10/04
Inventor 周勖高蕊冷炜龙飞陈希
Owner CHINA CITIC BANK
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