Model-in-loop test method and device

Abstract

The invention discloses a model-in-the-loop test method and device, and relates to the technical field of embedded system testing. The method for importing the test case data into the test model is optimized; meanwhile, attribute information of the imported test case data can be flexibly increased according to test requirements during importing, the designed test case can meet the function requirement and the coverage degree, and testers can perform traceability, maintenance and alteration easily; according to the main technical scheme, the method comprises: obtaining test case data from a test case template, wherein the test case data comprise at least one set of test cases, each set of test cases corresponds to one function requirement, and the test cases comprise a plurality of piecesof attribute information; generating a test input module corresponding to the test case data by calling a preset script, wherein the test input module is loaded with the test case data; and calling the test input module, executing the test case data loaded in the test input module, and outputting a test report. The method and device are applied to the optimization model in-loop test.

Description

technical field [0001] The invention relates to the technical field of embedded system testing, in particular to a model-in-the-loop testing method and device. Background technique [0002] Model-in-the-Loop (MIL) testing is a test and verification method in the development and design process using Model-based (MBD), which is aimed at testing from model to requirements. MIL testing is usually used to verify the implementation of functions and ensure that the model can accurately and completely capture the requirements. It is a common method for engineers to verify algorithms. [0003] When conducting MIL testing, the first critical step is the design of test cases. At present, the following two methods are usually used to design test cases: one is to use the components that come with the Matrix Laboratory (Matlab) to generate test cases, but this method can only verify the rationality of the logic in terms of coverage The other is to design test cases according to function...

AI Technical Summary

Problems solved by technology

At present, the following two methods are usually used to design test cases: one is to use the components of the Matrix Laboratory (Matlab) to generate test cases, but this method can only verify the rationality of the logic from the coverage The other is to design test cases according to functional requirements, for example, write a large number of test cases in Excel, and then import them into the test input module (Signal Builder), but if the test cases are not satisfied during the import process When the import format is required, the test input module cannot successfully load the test case, so it is necessary to only follow the fixed format when writing the test case. For example, only edit the test case in Excel to include the test time and test input. If there are more One attribute information (such as: expected output), then it does not meet the test case import format requirements, so this method makes editing test cases too rigid, which is not convenient for traceability, maintenance and modification of test execution

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