CN116467860A - Simulation test design method based on evaluation index - Google Patents
Simulation test design method based on evaluation index Download PDFInfo
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- CN116467860A CN116467860A CN202310333448.4A CN202310333448A CN116467860A CN 116467860 A CN116467860 A CN 116467860A CN 202310333448 A CN202310333448 A CN 202310333448A CN 116467860 A CN116467860 A CN 116467860A
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Abstract
The embodiment of the invention discloses a simulation test design method based on an evaluation index, which comprises the following steps: analyzing a wanted file input by a user according to the simulation evaluation index requirement, generating a simulation test factor structure tree, and selecting a required simulation test factor from the simulation test factor structure tree; selecting a test factor horizontal design method to generate a simulation test factor sample; selecting a test scheme design method according to the simulation test factor sample, and generating a simulation test factor combination; generating a simulation test designed file according to the simulation test factor combination; and if the evaluation requirement is met, evaluating and analyzing the simulation test wanted file to find out the optimal factor level combination meeting the evaluation index. According to the invention, through scientific setting parameters, a value space is searched efficiently, an optimal design result is found rapidly, global optimization can be ensured, a plurality of factors influencing the characteristic value of the test result are found, and the factor level combination in the optimal test condition is determined.
Description
Technical Field
The invention relates to a simulation test design method. And more particularly, to a simulation test design method based on evaluation indexes.
Background
In order to improve the quality of products and reduce the resource consumption, a large number of analysis and evaluation tests are required to be carried out, the design arrangement of a simulation test scheme and the analysis and optimization of test results have great influence on the quality of the tests, the test scheme is scientifically and reasonably designed, and the test results which are ideal and correct and suitable for evaluating indexes can be quickly obtained in a shorter test period with fewer test times and cost by adopting a correct test result analysis method. Therefore, the invention provides a simulation test design method based on evaluation indexes, which effectively reduces test times, reduces test cost and improves test speed and accuracy.
Disclosure of Invention
The invention aims to provide a simulation test design method based on evaluation indexes, which aims to solve at least one of the problems existing in the prior art.
In order to achieve the above purpose, the invention adopts the following technical scheme:
the invention provides a simulation test design method based on evaluation indexes, which comprises the following steps:
analyzing a wanted file input by a user according to the simulation evaluation index requirement, generating a simulation test factor structure tree, and selecting a required simulation test factor from the simulation test factor structure tree;
selecting a test factor horizontal design method to generate a simulation test factor sample;
selecting a test scheme design method according to the simulation test factor sample, and generating a simulation test factor combination;
generating a simulation test designed file according to the simulation test factor combination;
and if the evaluation requirement is met, evaluating and analyzing the simulation test wanted file to find out the optimal factor level combination meeting the evaluation index.
Optionally, the user interacts in the visual dialogue window, and analyzes and records the test factor information selected by the user at any time in the user interaction process to form a data mapping relation capable of translating macros in the wanted file.
Optionally, the test factor information includes a current value, a data type, a unit of measure, a maximum value, and a minimum value.
Optionally, the steps further include creating an equipment parameter set after analyzing the wanted file input by the user and generating the structural tree of simulation test factors, and rapidly loading the test factors which have been used in the prior period according to the requirement of the simulation evaluation index.
Optionally, the test factor horizontal design method comprises uniform design, relative design and free design.
Optionally, the test factor level design includes setting a level number, a maximum value and a minimum value, an interval and a reference value for the test factor.
Optionally, the test plan design method comprises a full factorial design, an orthogonal design, a uniform design, a partial factor design and a Latin hypercube sampling design.
Optionally, the test plan design method includes providing a custom plan design method interface, and integrating an external method to design the test plan.
A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the method when executing the program.
A computer readable storage medium having stored thereon a computer program which when executed by a processor implements the method.
The beneficial effects of the invention are as follows:
according to a certain probability statistical rule, the invention designs a simulation test design method, and through scientific parameter (factor and level) setting combination, the invention efficiently searches a value space, quickly finds out the optimal design result and can ensure global optimization; in the evaluation process, the result scientific analysis can determine the factor level combination under the optimal test condition among a plurality of factors influencing the characteristic value of the test result; an interface integrating an external method is provided for a test scheme design method, so that the problems of single test scheme and repeated development of the test scheme are solved; and through setting the equipment parameter set, the operation times of the test factors are effectively reduced.
Drawings
The following describes the embodiments of the present invention in further detail with reference to the drawings.
FIG. 1 shows a flow chart of a simulation test design method based on evaluation indexes.
FIG. 2 shows a simulation test design flow diagram of one embodiment of the present invention.
Detailed Description
In order to more clearly illustrate the present invention, the present invention will be further described with reference to examples and drawings. Like parts in the drawings are denoted by the same reference numerals. It is to be understood by persons skilled in the art that the following detailed description is illustrative and not restrictive, and that this invention is not limited to the details given herein.
1-2, one embodiment of the present invention provides a simulation test design method based on evaluation indexes, including the steps of:
analyzing a wanted file input by a user according to the simulation evaluation index requirement, generating a simulation test factor structure tree, and selecting a required simulation test factor from the simulation test factor structure tree; selecting a test factor horizontal design method to generate a simulation test factor sample;
selecting a test scheme design method according to the simulation test factor sample, and generating a simulation test factor combination;
generating a simulation test designed file according to the simulation test factor combination;
and if the evaluation requirement is met, evaluating and analyzing the simulation test wanted file to find out the optimal factor level combination meeting the evaluation index.
In a specific example, according to the evaluation index requirement, the invention analyzes the composition of the simulation test factors, determines the design method of the simulation test factors and the method of the simulation test scheme, and generates the simulation test scheme file. The evaluation index is an external input, the invention uses an XML file to store the data mapping relation of a simulation model formed by a wanted editor, and uses an XML file parser (QXml stream reader) provided by a Qt program development framework to extract the data information of a designated node from an XML document, wherein an extensible markup language XML (eXtensible Markup Language) has strong data description capability and platform adaptation capability and is used for configuration information parsing based on XML description. The test design generation is a batch simulation test design file generated by combining test factors generated according to a test scheme design. By utilizing the automatically generated batch simulation test expected file, a user can more quickly find out the optimal factor level combination meeting the evaluation index, the experimental efficiency and the experimental speed are improved, and meanwhile, the file generated by the simulation test scheme provides factors which can influence the characteristic value of the test result for analysis and evaluation and assists the user in determining the factor level combination of the optimal test condition. The invention evaluates and analyzes the generated experimental scheme, and finds out the most suitable one through an evaluation and analysis system.
In one possible implementation manner, the user interacts in the visual dialogue window, and analyzes and records the test factor information selected by the user at any time in the user interaction process to form a data mapping relation capable of translating macros in the wanted file.
In a specific example, the visual wizard provides a wizard type dialog window for a user, analyzes a wanted file to form a simulation test factor structure tree, and analyzes and records test factor information selected by the user, such as a current value, a data type, a measurement unit, a maximum and minimum value, at any time in the user interaction process to form a data mapping relation capable of translating macros in the wanted file. The invention completes the process of visually analyzing the simulation model through the visual guide, solves the problem of equipment parameter visualization, is convenient for quick treatment, and improves the efficiency of simulation test design.
In one possible implementation, the trial factor information includes a current value, a data type, a unit of measure, a maximum value, and a minimum value.
In one possible implementation manner, the steps further include creating an equipment parameter set after analyzing the wanted file input by the user and generating the simulation test factor structure tree, and rapidly loading the test factors used in the prior period according to the simulation evaluation index requirement.
In a specific example, the equipment parameter set can store a plurality of test factor combination templates screened in previous tests and is used for assisting in quickly searching and positioning equipment parameters to be designed, in the process of loading analysis test factors, used test factors in the early stage are quickly loaded according to simulation evaluation index requirements, repeated selection of the factors is avoided, the speed of selecting the test factors is improved, and the operation times of the test factors are effectively reduced.
In one possible implementation, the test factor level design method includes uniform design, relative design, and free design.
In a specific example, test factor design selects test factors to be designed from the designed and performance parameters according to visual guidance, and provides a plurality of test factor level design methods, including selection of test factors, uniform design, relative design and free design, and assists user design to set the level number, the maximum value and the minimum value of the test factors, so as to complete test factor sample generation, wherein according to the selected test factor design method, the combination of the test factors and the test factor levels is set, so that a value space can be searched efficiently, and the efficiency of simulation factor design is improved; it should be noted that the three design methods of uniform design, relative design and free design are independent, and any one of the three design methods may be selected for each factor, for example: the factor 1 selects a uniform design, the factor 2 selects a relative design, the factor 3 selects a free design, and the factor 4 selects a relative design.
In one possible implementation, the test factor level design includes setting a level number, a maximum value, a minimum value, a section, a reference value, and the like for the test factor.
In one possible implementation, the trial design method includes a full factorial design, an orthogonal design, a uniform design, a partial factor design, and a Latin hypercube design.
In a specific example, the test plan design selects a corresponding test plan design method according to requirements according to test factor samples generated by the test plan design, such as comprehensive factorization, orthogonal design, uniform design, partial factor design, latin hypercube sampling and other test plan design methods, assists a user in designing test factor combinations, and simultaneously provides a user-defined plan design method interface, so that repeated development of test plans is avoided.
Wherein, the comprehensive factorization design: the method is also called full factor experimental design, and different levels of all the experimental factors are subjected to full permutation and combination;
orthogonal design: selecting partial representative points from the comprehensive test by using an orthogonal table for the test, wherein the representative points have the characteristics of uniform dispersion and regular comparability;
and (3) uniformly designing: selecting design points to be uniformly scattered in an experimental range by using a uniform design method, so that the most information can be obtained by using fewer experimental points;
partial factor design: the design is also called 2k-P, k refers to the number of experimental factors, each factor adopts two levels to carry out experiments, and P refers to the number of non-independent factors;
latin hypercube sampling: the method belongs to a constrained design method, after the experiment times N are determined, an interval is equally divided into N sub-intervals which are complementarily overlapped, and then independent equal probability sampling is respectively carried out on each sub-interval.
The invention carries out simulation scheme design by depending on the design of the simulation test factors, combines the simulation test factors, can quickly find out the best design result and ensures global optimization.
In one possible implementation, the test plan design method includes providing a custom plan design method interface, integrating external methods to implement the design of the test plan.
In a specific example, the invention provides an interface for integrating an external method aiming at a test scheme design method, and solves the problems of single test scheme and repeated development of the test scheme.
According to the invention, through setting the equipment parameter set, the operation times of the test factors are effectively reduced, and the efficiency of test analysis is improved. Meanwhile, according to a certain probability statistical rule, a simulation test design method, a simulation scheme design method and a custom simulation test scheme design method are designed, so that the problems of single test scheme and repeated development of the test scheme are solved. Through scientific parameter (factor and level) combination setting, the value space is searched efficiently, the optimal design result is found rapidly, global optimization can be ensured, a plurality of factors influencing the characteristic value of the test result are found in the analysis and evaluation process, and the factor level combination in the optimal test condition is determined.
Another embodiment of the present invention provides a computer apparatus including a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the method of the present invention when executing the program, the computer system adapted to implement the simulation test design method based on evaluation index provided in the above embodiment, including a central processing module (CPU) that can perform various appropriate actions and processes according to the program stored in a Read Only Memory (ROM) or the program loaded from a storage section into a Random Access Memory (RAM). In the RAM, various programs and data required for the operation of the computer system are also stored. The CPU, ROM and RAM are connected by a bus. An input/output (I/O) interface is also connected to the bus.
The following components are connected to the I/O interface, including the input part of the keyboard, mouse, etc.; an output section including a display such as a Liquid Crystal Display (LCD) and a speaker; a storage section including a hard disk or the like; and a communication section including a network interface card such as a LAN card, a modem, and the like. The communication section performs communication processing via a network such as the internet. The drives are also connected to the I/O interfaces as needed. Removable media such as magnetic disks, optical disks, magneto-optical disks, semiconductor memories, and the like are mounted on the drive as needed so that a computer program read therefrom is mounted into the storage section as needed.
In particular, according to the present embodiment, the procedure described in the above flowcharts may be implemented as a computer software program. For example, the present embodiments include a computer program product comprising a computer program tangibly embodied on a computer-readable medium, the computer program containing program code for performing the method shown in the flowchart. In such embodiments, the computer program may be downloaded and installed from a network via a communication portion, and/or installed from a removable medium.
On the other hand, the present embodiment also provides a nonvolatile computer storage medium, which may be the nonvolatile computer storage medium included in the apparatus in the above embodiment or may be a nonvolatile computer storage medium existing separately and not incorporated in the terminal. The non-volatile computer storage medium stores one or more programs that, when executed by an apparatus, cause the apparatus to implement the evaluation index-based simulation test design method.
In the description of the present invention, it should be noted that the azimuth or positional relationship indicated by the terms "upper", "lower", etc. are based on the azimuth or positional relationship shown in the drawings, and are merely for convenience of describing the present invention and simplifying the description, and are not indicative or implying that the apparatus or element in question must have a specific azimuth, be constructed and operated in a specific azimuth, and thus should not be construed as limiting the present invention. Unless specifically stated or limited otherwise, the terms "mounted," "connected," and "coupled" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art according to the specific circumstances.
It is further noted that in the description of the present invention, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
It should be understood that the foregoing examples of the present invention are provided merely for clearly illustrating the present invention and are not intended to limit the embodiments of the present invention, and that various other changes and modifications may be made therein by one skilled in the art without departing from the spirit and scope of the present invention as defined by the appended claims.
Claims (10)
1. The simulation test design method based on the evaluation index is characterized by comprising the following steps:
analyzing a wanted file input by a user according to the simulation evaluation index requirement, generating a simulation test factor structure tree, and selecting a required simulation test factor from the simulation test factor structure tree;
selecting a test factor horizontal design method to generate a simulation test factor sample;
selecting a test scheme design method according to the simulation test factor sample, and generating a simulation test factor combination;
generating a simulation test designed file according to the simulation test factor combination;
and if the evaluation requirement is met, evaluating and analyzing the simulation test wanted file to find out the optimal factor level combination meeting the evaluation index.
2. The simulation test design method based on the evaluation index according to claim 1, wherein the user interacts in a visual dialogue window, and analyzes and records test factor information selected by the user at any time in the user interaction process to form a data mapping relation capable of translating macros in a wanted file.
3. The method for designing a simulated test based on an evaluation index according to claim 2, wherein the test factor information includes a current value, a data type, a unit of measure, a maximum value and a minimum value.
4. The method for designing a simulation test based on evaluation indexes according to claim 1, wherein the steps further comprise creating a set of equipment parameters after analyzing a desired file input by a user to generate a structural tree of simulation test factors, and rapidly loading test factors which have been used in the past according to the requirements of the simulation evaluation indexes.
5. The method of claim 1, wherein the test factor level design method comprises uniform design, relative design, and free design.
6. The method of claim 5, wherein the trial factor level design includes setting a level number, a maximum value, a minimum value, a zone, and a reference value for the trial factor.
7. The method of claim 1, wherein the trial design method comprises a full factorial design, an orthogonal design, a uniform design, a partial factor design, and a latin hypercube design.
8. The method of claim 1, wherein the test plan design method comprises providing a custom plan design method interface, integrating external methods to achieve the design of the test plan.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any of claims 1-8 when the program is executed by the processor.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the method according to any of claims 1-8.
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