Digital-real fusion test scene and model reconstruction method

Abstract

The invention discloses a data-real fusion test scene and model reconstruction method, which comprises the following steps of: 1, deconstructing a test demand into a functional test demand and a non-functional test demand, and determining a functional test item and a non-functional test item; step 2, making a test scheme corresponding to the test item, performing reconstruction evaluation on the test scene stored in the test scene library, and determining an available test scene, an available test model, a to-be-reconstructed test scene and a to-be-reconstructed test model; 3, determining a to-be-reconstructed test scene, and adjusting the composition and layout of the to-be-reconstructed test scene according to the test scene requirement to obtain a to-be-reconstructed test scene; and 4, determining a to-be-reconstructed test model, and adjusting the structure and parameters of the to-be-reconstructed test model according to the test model requirements to obtain the to-be-reconstructed test model. According to the invention, a test scene and model reconstruction method can be provided for a digital-real fusion test, the test scene and the test model can be quickly built to a certain extent, and the test cost is saved.

Description

Technical Field

[0001] The present invention belongs to the fields of electronic engineering and computer science, and specifically relates to a digital-real fusion test scenario and a model reconstruction method. Background Art

[0002] Under the development trend of digital transformation in various industries, digital-real fusion testing has become an important development trend. Among them, test scenarios and test models are important contents for realizing digital-real fusion testing. For each test content, rebuilding the test scenario and test model often requires a lot of cost. Therefore, selecting test scenarios and test models that can be modified and used from the constructed test scenarios and test models provides an effective method for reducing costs and increasing efficiency in the testing process. To this end, the present invention discloses a method for reconstructing a digital-real fusion test scenario and model, which can achieve rapid construction of test scenarios and test models to a certain extent and save testing costs by analyzing and determining test items, formulating test plans, and reconstructing test scenarios and test models. Summary of the invention

[0003] In order to solve the above technical problems, the present invention discloses a digital-real fusion test scenario and a model reconstruction method, which is suitable for tests using the digital-real fusion method, especially when the test scenario is a physical scene and the test model is a digital model. The digital-real fusion test scenario and the model reconstruction method can be used to reconstruct the test scenario and the test model, thereby realizing the rapid construction of the test scenario and the test model to a certain extent and saving the testing cost.

[0004] The present invention solves the technical problem by adopting the following technical solutions:

[0005] A digital-real fusion test scenario and model reconstruction method of the present invention comprises the following steps:

[0006] Step (1), determine the test items, deconstruct the test requirements into functional test requirements and non-functional test requirements, and determine the functional test items and non-functional test items;

[0007] Step (2), formulate a test plan corresponding to the test item, conduct a reconstruction evaluation on the test scenarios stored in the test scenario library, and determine the available test scenarios, available test models, test scenarios that need to be reconstructed, and test models that need to be reconstructed;

[0008] Step (3), determining the test scenario to be reconstructed, and adjusting the composition and layout of the test scenario to be reconstructed according to the test scenario requirements, to obtain the test scenario to be reconstructed;

[0009] Step (4): determine the test model to be reconstructed, and adjust the structure and parameters of the test model to be reconstructed according to the test model requirements to obtain the test model to be reconstructed.

[0010] The advantages of the present invention compared with the prior art are:

[0011] By deconstructing the test requirements into functional test requirements and non-functional test requirements, functional test items and non-functional test items are determined; by formulating the test schemes corresponding to the test items, the test scenarios stored in the test scenario library are reconstructed and evaluated, and available test scenarios, available test models, test scenarios to be reconstructed and test models to be reconstructed are determined; by determining the test scenarios to be reconstructed, and adjusting the composition and layout of the test scenarios to be reconstructed according to the test scenario requirements, the test scenario reconstruction is realized; by determining the test models to be reconstructed, and adjusting the structure and parameters of the test models to be reconstructed according to the test model requirements, the test model reconstruction is realized. The present invention can provide a test scenario and a model reconstruction method for digital-real fusion testing, realize the rapid construction of test scenarios and test models to a certain extent, and save test costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 This is a flowchart of a digital-real fusion test scenario and model reconstruction method of the present invention. DETAILED DESCRIPTION

[0013] In order to make the purpose, technical scheme and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. In addition, the technical features involved in each embodiment of the present invention described below can be combined with each other as long as they do not conflict with each other. To achieve the above-mentioned purpose, the present invention adopts the following technical scheme.

[0014] The present invention relates to a digital-real fusion test scenario and model reconstruction method, which includes determining functional test items 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, saving test costs.

[0015] The flowchart of the present invention is as follows Figure 1 As shown, the specific implementation is as follows:

[0016] Step (1) determines the test items, which is specifically implemented as follows:

[0017] Step (1.1) For a certain 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 meet the functional test requirements of step (1.1);

[0019] Step (1.3) Determine the non-functional test items, and the determined non-functional test items meet the non-functional test requirements of step (1.1);

[0020] Step (1.4) Conduct a completeness review of the test items 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) formulates a test plan, which is implemented as follows:

[0022] Step (2.1) For each test item determined in step (1), a corresponding test plan is formulated to determine the required test scenarios and required test models of the test plan;

[0023] Step (2.2) The required test scenario in step (2.1) is reconstructed and evaluated with the test scenario stored in the test scenario library. If the evaluations are consistent, the test scenario in the test scenario library is determined to be an available test scenario. If the required test scenario cannot be consistent with the test scenario 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) The required test model in step (2.1) is evaluated for reconstructability with the test model stored in the test model library. If the evaluation is consistent, the test model in the test model library is determined to be an available test model; if the required test model cannot be evaluated consistently with the test model stored in the test model library, the required test model is recorded as a test model that needs to be reconstructed.

[0025] Step (3) reconstructs the test scenario, which is specifically implemented as follows:

[0026] Step (3.1) performs a reconstruction evaluation on the test scenarios stored in the test scenario library and the test scenarios to be reconstructed, and determines the test scenarios to be reconstructed in the test scenario library;

[0027] Step (3.2) According to the required test scenario requirements of 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) reconstructs the test model, which is specifically implemented as follows:

[0029] Step (4.1) performing a reconstruction evaluation on the test models stored in the test model library and the test models to be reconstructed, and determining the test models to be reconstructed in the test model library;

[0030] Step (4.2) According to the required test model requirements of 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 evaluation includes the following steps:

[0032] The test capability set of the test scenario is , where A capability that a test scenario possesses.

[0033] The test scenario capabilities required for the test items are: , is a test scenario stored in the test scenario library. satisfy ,but is an available test scenario; if the test scenario satisfy ,but The test scenario to be reconstructed;

[0034] The test model reconstruction evaluation includes the following steps:

[0035] The feature set of the test model is , is a certain characteristic of the test model. The test model characteristics required by the test item are , is a test model stored in the test model library. If the test model satisfy ,but is an available test model; if the test model satisfy ,but The test model to be reconstructed.

[0036] The contents not described in detail in the specification of the present invention belong to the prior art known to the professional and technical personnel in this field.

[0037] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A digital-real fusion test scenario and model reconstruction method, characterized in that: The steps include: Step (1), determine the test items, deconstruct the test requirements into functional test requirements and non-functional test requirements, and determine the functional test items and non-functional test items; Step (2), formulate a test plan corresponding to the test item, conduct a reconstruction evaluation on the test scenarios stored in the test scenario library, and determine the available test scenarios, available test models, test scenarios that need to be reconstructed, and test models that need to be reconstructed; Step (3), determining the test scenario to be reconstructed, and adjusting the composition and layout of the test scenario to be reconstructed according to the test scenario requirements, to obtain the test scenario to be reconstructed; Step (4): determine the test model to be reconstructed, and adjust the structure and parameters of the test model to be reconstructed according to the test model requirements to obtain the test model to be reconstructed.

2. A digital-real fusion test scenario and model reconstruction method according to claim 1, characterized in that: Step 1 is implemented as follows: Step (1.1) For a certain physical entity, deconstruct the test requirements into functional test requirements and non-functional test requirements; Step (1.2) Determine the functional test items, and the determined functional test items meet the functional test requirements of step (1.1); Step (1.3) Determine the non-functional test items, and the determined non-functional test items meet the non-functional test requirements of step (1.1); Step (1.4) Conduct a completeness review of the test items 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).

3. A digital-real fusion test scenario and model reconstruction method according to claim 2, characterized in that: Step 2 is implemented as follows: Step (2.1) For each test item determined in step (1), a corresponding test plan is formulated to determine the required test scenarios and required test models of the test plan; Step (2.2) Perform a reconstruction evaluation on the required test scenario in step (2.1) and the test scenario stored in the test scenario library. If the evaluation is consistent, the test scenario in the test scenario library is determined to be an available test scenario; If the required test scenario cannot be consistent with the test scenario evaluation stored in the test scenario library, the required test scenario is recorded as a test scenario that needs to be reconstructed; Step (2.3) Perform a reconstruction evaluation on the required test model in step (2.1) and the test model stored in the test model library. If the evaluation is consistent, the test model in the test model library is determined to be an available test model; If the required test model cannot be evaluated consistent with the test model stored in the test model library, the required test model is recorded as a test model that needs to be reconstructed.

4. A digital-real fusion test scenario and model reconstruction method according to claim 3, characterized in that: Step 3 is implemented as follows: Step (3.1) Perform a reconstruction evaluation on the test scenarios stored in the test scenario library and the test scenarios to be reconstructed, and determine the test scenarios to be reconstructed in the test scenario library; Step (3.2) According to the required test scenario requirements of 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.

5. A digital-real fusion test scenario and model reconstruction method according to claim 4, characterized in that: Step 4 is implemented as follows: Step (4.1) performing a reconstruction evaluation on the test models stored in the test model library and the test models to be reconstructed, and determining the test models to be reconstructed in the test model library; Step (4.2) According to the required test model requirements of 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.

6. A digital-real fusion test scenario and model reconstruction method according to claim 3, characterized in that: The test scenario reconstruction evaluation includes the following steps: The test capability set of the test scenario is , where It is a certain capability possessed by the test scenario. The test scenario capability required by the test item is , is a test scenario stored in the test scenario library. satisfy ,but is an available test scenario; if the test scenario satisfy ,but This is the test scenario to be reconstructed.

7. A digital-real fusion test scenario and model reconstruction method according to claim 4, characterized in that: The test model reconstruction evaluation includes the following steps: The feature set of the test model is , is a certain characteristic of the test model. The test model characteristics required by the test item are , is a test model stored in the test model library. If the test model satisfy ,but is an available test model; if the test model satisfy ,but The test model to be reconstructed.

Images