A numerical-real fusion test scene and model reconstruction method
By deconstructing test requirements and evaluating test scenarios and model libraries, and adjusting their composition and parameters, the high cost problem in data-real fusion testing was solved, achieving the effect of rapid setup and cost savings.
Patent Information
- Application Number
- CN202411804891.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-10
- Publication Date
- 2026-01-06
- Estimated Expiration
- 2044-12-10
AI Technical Summary
In current technologies, the cost of building test scenarios and test models in data-real fusion testing is relatively high, and an effective method is needed to reduce costs.
By deconstructing test requirements into functional and non-functional test requirements, developing test plans, evaluating test scenarios and model libraries, identifying usable and refactorable scenarios and models, and adjusting their composition and parameters, rapid deployment can be achieved.
It enables the rapid setup of test scenarios and models, reducing testing costs.
Smart Images

Figure CN119669101B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The application belongs to the field of electronic engineering and computer science, and particularly relates to a digital-real fusion test scene and model reconstruction method. BACKGROUND
[0002] Under the development trend of digital transformation in various industries, digital-real fusion testing has become an important trend. Among them, the test scene and test model are important contents to realize digital-real fusion testing. For each test content, it often needs a lot of cost to rebuild the test scene and test model. Therefore, selecting the test scene and test model that can be modified and used from the already constructed test scene and test model provides an effective method for cost reduction and efficiency improvement of the test process. For this purpose, the application discloses a digital-real fusion test scene and model reconstruction method, which realizes the rapid construction of the test scene and test model to a certain extent, and saves the test cost by analyzing and determining the test items, formulating the test scheme, and reconstructing the test scene and test model. SUMMARY
[0003] In order to solve the above technical problems, the application discloses a digital-real fusion test scene and model reconstruction method, which is suitable for testing by using the digital-real fusion method, and in particular when the test scene is a physical scene and the test model is a digital model, the reconstruction of the test scene and test model can be realized by the digital-real fusion test scene and model reconstruction method, which realizes the rapid construction of the test scene and test model to a certain extent, and saves the test cost.
[0004] The application solves the technical problems by adopting the following technical solutions:
[0005] The digital-real fusion test scene and model reconstruction method of the application comprises the following steps:
[0006] Step (1), determining the test items, decomposing the test requirements into functional test requirements and non-functional test requirements, and determining the functional test items and non-functional test items;
[0007] Step (2), formulating the test scheme corresponding to the test items, reconstructively evaluating the test scenes stored in the test scene library, and determining the available test scenes, available test models, test scenes that need to be reconstructed, and test models that need to be reconstructed;
[0008] Step (3), determining the test scene to be reconstructed, and adjusting the composition and layout of the test scene to be reconstructed according to the test scene requirements to obtain the test scene that needs to be reconstructed;
[0009] Step (4), determining the test model to be reconstructed, and adjusting the structure and parameters of the test model to be reconstructed according to the test model requirements to obtain the test model that needs to be reconstructed.
[0010] The advantages of this invention compared to the prior art are:
[0011] This invention provides a method for reconstructing test scenarios and models for data-real fusion testing by deconstructing test requirements into functional and non-functional test requirements. It identifies functional and non-functional test items by developing corresponding test plans for each item and conducting a refactoring evaluation of test scenarios stored in the test scenario library to determine available test scenarios, available test models, test scenarios requiring refactoring, and test models requiring refactoring. By identifying the test scenarios to be refactored and adjusting their composition and layout according to their requirements, test scenario refactoring is achieved. Finally, by identifying the test models to be refactored and adjusting their structure and parameters according to their requirements, test model refactoring is achieved. This invention provides a method for refactoring test scenarios and models for data-real fusion testing, enabling rapid construction of test scenarios and test models to a certain extent and saving testing costs. Attached Figure Description
[0012] Figure 1 This is a flowchart of a data-real fusion test scenario and model reconstruction method according to the present invention. Detailed Implementation
[0013] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention. Furthermore, the technical features involved in the various embodiments of this invention described below can be combined with each other as long as they do not conflict with each other. To achieve the above objectives, this invention adopts the following technical solution.
[0014] This invention relates to a data-real fusion test scenario and model reconstruction method, which includes determining functional and non-functional test items, formulating test plans, and reconstructing test scenarios and test models. It can achieve rapid construction of test scenarios and test models to a certain extent and save test costs.
[0015] The flowchart of this invention is as follows Figure 1 As shown, the specific implementation method is as follows:
[0016] Step (1) Determine the test items, specifically as follows:
[0017] Step (1.1) For a specific physical entity, deconstruct the test requirements into functional test requirements and non-functional test requirements;
[0018] Step (1.2) Determine the functional test items, and the determined functional test items shall meet the functional test requirements of step (1.1);
[0019] Step (1.3) Identify non-functional test items, and the identified non-functional test items shall meet the non-functional test requirements of step (1.1);
[0020] Step (1.4) Perform a test item completeness review to determine whether the functional test items in step (1.2) and the non-functional test items in step (1.3) cover the test requirements in step (1.1). If the test requirements are not covered, repeat step (1.1).
[0021] Step (2) Develop a test plan, which is implemented as follows:
[0022] Step (2.1) For each test item determined in step (1), formulate a corresponding test plan and determine the required test scenario and required test model of the test plan;
[0023] Step (2.2) Perform a reconstructive evaluation on the required test scenario in step (2.1) and the test scenarios stored in the test scenario library. If the evaluation is consistent, the test scenarios in the test scenario library are determined to be usable test scenarios; if the required test scenario cannot be consistent with the evaluation of the test scenarios stored in the test scenario library, the required test scenario is recorded as a test scenario that needs to be reconstructed.
[0024] Step (2.3) Perform a refactoring evaluation on the required test model in step (2.1) and the test models stored in the test model library. If the evaluation is consistent, the test model in the test model library is determined to be a usable test model; if the required test model cannot be consistent with the evaluation of the test models stored in the test model library, the required test model is recorded as a test model that needs to be refactored.
[0025] Step (3) involves reconstructing the test scenario, specifically as follows:
[0026] Step (3.1) compare the test scenarios stored in the test scenario library with the test scenarios that need to be reconstructed to determine the test scenarios to be reconstructed in the test scenario library;
[0027] Step (3.2) Based on the required test scenario requirements in Step (2.1), adjust the composition and layout of the test scenario to be reconstructed in Step (3.1), and store the reconstructed test scenario in the test scenario library as the test scenario to be reconstructed.
[0028] Step (4) involves reconstructing the test model, specifically as follows:
[0029] Step (4.1) Compare the test models stored in the test model library with the test models that need to be reconstructed to determine the test models to be reconstructed in the test model library;
[0030] Step (4.2) Based on the required test model requirements in Step (2.1), adjust the structure and parameters of the test model to be reconstructed in Step (4.1), and store the reconstructed test model in the test model library as the test model to be reconstructed.
[0031] The test scenario reconstruction assessment includes the following steps:
[0032] The set of testing capabilities possessed by the test scenario is as follows: In the formula To test a specific capability of the testing scenario.
[0033] The required test scenario capabilities for the test items are: , For a given test scenario stored in the test scenario library, if the test scenario... satisfy ,but This is an available test scenario; if the test scenario satisfy ,but For the test scenario to be reconstructed;
[0034] The refactorable evaluation of the test model includes the following steps:
[0035] The set of features possessed by the test model is , To test a certain characteristic of the model, the required test model characteristic for the test item is: , For a given test model stored in the test model library, if the test model... satisfy ,but This is a usable test model; if the test model satisfy ,but This is the test model to be reconstructed.
[0036] The contents not described in detail in this specification are existing technologies known to those skilled in the art.
[0037] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.
Claims
1. A method for reconstructing a test scene and model by combining real and virtual numbers, characterized in that, The method comprises the following steps: Step (1), determining test items, decomposing test requirements into functional test requirements and non-functional test requirements, and determining functional test items and non-functional test items; Step (2), formulating test schemes corresponding to the test items, and reconfiguring the test scenarios stored in the test scenario library to determine available test scenarios, available test models, test scenarios requiring reconfiguration and test models requiring reconfiguration; Step (3), determining test scenarios requiring reconfiguration, and adjusting the composition and layout of the test scenarios requiring reconfiguration according to test scenario requirements to obtain test scenarios requiring reconfiguration; Step (4), determining test models requiring reconfiguration, and adjusting the structure and parameters of the test models requiring reconfiguration according to test model requirements to obtain test models requiring reconfiguration; Step 2 is specifically implemented as follows: Step (2.1), for each test item determined in step (1), formulating a corresponding test scheme, and determining the required test scenarios and the required test models of the test scheme; Step (2.2), reconfiguring the required test scenarios in step (2.1) and the test scenarios stored in the test scenario library, and determining that the test scenarios in the test scenario library are available test scenarios if the reconfiguration is consistent; If the required test scenarios cannot be reconfigured with the test scenarios stored in the test scenario library, the required test scenarios are recorded as test scenarios requiring reconfiguration; Step (2.3), reconfiguring the required test models in step (2.1) and the test models stored in the test model library, and determining that the test models in the test model library are available test models if the reconfiguration is consistent; if the required test models cannot be reconfigured with the test models stored in the test model library, the required test models are recorded as test models requiring reconfiguration; Step 3 is specifically implemented as follows: Step (3.1), reconfiguring the test scenarios stored in the test scenario library and the test scenarios requiring reconfiguration, and determining the test scenarios requiring reconfiguration in the test scenario library; Step (3.2), adjusting the composition and layout of the test scenarios requiring reconfiguration in step (3.1) according to the test scenario requirements in step (2.1), and storing the reconfigured test scenarios in the test scenario library as test scenarios requiring reconfiguration; Step 4 is specifically implemented as follows: Step (4.1), reconfiguring the test models stored in the test model library and the test models requiring reconfiguration, and determining the test models requiring reconfiguration in the test model library; Step (4.2), adjusting the structure and parameters of the test models requiring reconfiguration in step (4.1) according to the test model requirements in step (2.1), and storing the reconfigured test models in the test model library as test models requiring reconfiguration; The test scenario reconfiguration comprises the following steps: The test capability set possessed by the test scenario is , wherein is a certain capability possessed by the test scenario, the test item required test scenario capability is , is a certain test scenario stored in the test scenario library, if the test scenario satisfies , then is an available test scenario; if the test scenario satisfies , then is a test scenario to be reconstructed; The test model reconfiguration comprises the following steps: The set of properties possessed by a test model is , The test item required test model property for a test model property possessed by a test model is , A test model stored in the test model library is satisfies , then is a usable test model; if the test model satisfies , then is a test model to be reconfigured.
2. The method according to claim 1, wherein, Step 1 is specifically implemented as follows: Step (1.1), for a certain physical entity, decomposing test requirements into functional test requirements and non-functional test requirements; Step (1.2), determining functional test items, and the determined functional test items meeting the functional test requirements in step (1.1); Step (1.3) determines non-functional test items, and the determined non-functional test items meet the non-functional test requirements of step (1.1); Step (1.4) performs test item integrity review to determine whether the functional test items of step (1.2) and the non-functional test items of step (1.3) cover the test requirements in step (1.1), and if the test requirements are not covered, repeat step (1.1).
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