CN115826932B - Evaluation model and evaluation model construction method - Google Patents
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Abstract
The invention relates to an evaluation model and an evaluation model construction method, which belong to the technical field of system evaluation, wherein the model comprises the following components: a model layer for storing model data and model views, managing modeling elements, storing related modeling elements, and performing model combination and model inspection according to a model configuration result output by the control layer; the control layer is used for responding to the related operation of the user, editing model data and model views according to the response to the related operation of the user and performing related configuration on the model; and a view layer for displaying the model data and the model view edited by the control layer, displaying the modeling elements imported through the model layer, and drawing the displayed related data. The assessment model and the assessment model construction method provide modeling means which are easy for assessment staff to understand and use, the workload of the assessment staff in assessment modeling is obviously reduced, and the construction efficiency of the assessment model is improved.
Description
Technical Field
The invention relates to the technical field of system evaluation, in particular to an evaluation model and an evaluation model construction method.
Background
At present, most of the prior art utilizes a comprehensive performance evaluation system to perform system performance evaluation, and in general, an evaluation model needs to be designed for an evaluated object in each evaluation task, wherein the steps of constructing an evaluation index system, configuring a data source, constructing an evaluation calculation model, setting a display scheme and the like are involved.
However, in the prior art, under the background of various practical combat use modes and organization application conditions, objects involved in practical engineering have problems of diversity, uncertainty and the like, and the problem that the modeling efficiency of an evaluator is low and the development of projects is affected due to the fact that all evaluation models required in a target range are difficult to enumerate in advance is also solved.
Disclosure of Invention
The invention aims to provide an evaluation model and an evaluation model construction method, which are used for solving the defects in the prior art, and the technical problems to be solved by the invention are realized by the following technical scheme.
The evaluation model provided by the invention comprises the following components:
a model layer, a control layer and a view layer;
the model layer is used for storing the model data and model views edited by the control layer, managing modeling elements, storing related modeling elements, and carrying out model combination and model inspection according to the model configuration result output by the control layer;
the control layer is used for responding to related operations of the user, editing model data and model views according to the responses to the related operations of the user, and performing related configuration on the model;
the view layer is used for displaying the model data and the model view edited by the control layer, displaying the modeling elements imported through the model layer and drawing the displayed related data.
In the above scheme, the model layer includes a model storage module and a model management module, where the model storage module is configured to store model data and model views edited by the control layer; the model management module comprises a meta model management unit, an operator management unit, a sub model management unit, a model maintenance unit and a model query unit, wherein the meta model management unit is used for constructing a meta model, importing, exporting and modifying the constructed meta model, the operator management unit is used for importing an operator for calculating the output of an evaluation model, deleting and modifying an operator stored in an operator library, the sub model management unit is used for combining the constructed meta model according to the requirement of the evaluation model to form a sub model, importing, exporting and modifying the formed sub model, the model maintenance unit is used for maintaining modeling elements comprising the meta model, the operator and the sub model, and the model query unit is used for providing a query function of the modeling elements comprising the meta model, the operator and the sub model.
In the above scheme, the model layer further includes an operator library, where the operator library is configured to store operators imported by the model management module, and provide a corresponding call data source for the model management module.
In the above scheme, the model layer further includes a model combination module and a model checking module, where the model combination module is configured to perform meta-model, operator and sub-model combination according to a model configuration result output by the control layer; and the model checking module is used for carrying out grammar checking and error positioning according to the model configuration result output by the control layer.
In the above scheme, the control layer includes a user operation response module, a model editing module and a model configuration module, where the user operation response module is used to respond to the user operation of the mouse, the shortcut key, the toolbar and the menu, the model editing module is used to edit the model data and the model view according to the response of the user operation response module, and the model configuration module is used to configure the model interface and the model parameters according to the response of the user operation response module.
In the above scheme, the view layer includes a model display module, a modeling element display module and a graphic drawing module, where the model display module is used to set and display icons, layouts, characters and connecting lines edited by the control layer; the modeling element display module is used for displaying modeling elements imported through the model layer; the graphic drawing module is used for drawing the connecting lines, the ports, the icons and the characters displayed by the model display module.
The evaluation model construction method provided by the invention comprises the following steps:
defining and constructing a TopEntry package model, a calculteStep package model and a Data2EE package model according to the MOF package modeling specification;
combining the constructed meta-models according to the requirements of the evaluation model to form sub-models;
constructing an initial evaluation model comprising a model layer, a control layer and a view layer through the formed sub-model;
and calculating the output of the evaluation model through an operator imported by the model layer, and optimizing the initial evaluation model according to a calculation result to obtain a final evaluation model.
In the above scheme, the topentary primitive model is an entry designed by a meta model, the topentary primitive model includes a root element Process of the meta model, and an expression of the root element Process of the meta model is: p= < Input, step, relation, dataType, output >, wherein p is the root element Process, input is Input for importing external data into the performance evaluation calculation flow, output is Output for exporting the imported performance evaluation calculation result to the external environment, step is the calculation Step set in the performance evaluation calculation flow, relation is the interrelationship between Step and Input, output.
In the above solution, the calcualestep package model is used for describing various calculation steps in a calculation step set in a performance evaluation calculation flow, the calcualestep package model includes a calculation step and an association relation, the calculation step includes an atomic calculation step and a composite calculation step, and an expression of the atomic calculation step is: s is(s) atom =<Parameter, Binding, Config, Result>Wherein s is atom The method comprises the steps of acquiring an input interface from the outside as a calculation step, wherein Binding is the association from the atomic calculation step to a specific calculation program and is used for determining and calling the corresponding calculation program to complete a specified calculation function, config is configuration information of the atomic calculation step, and Result is Result data generated by calculating the Parameter through a calculation program corresponding to Binding in the atomic calculation step under the condition of given Config; the expression of the composite calculation step is as follows: s is(s) composite =<Parameter, Step CS , Relation CS , Result>Wherein s is composite Belongs to a composite calculation Step set, step CS Belonging to a subset of Step, the Relation CS Is a subset of the relationship, including Step CS All direct relationships existing between members; the association relation comprises different calculation steps and various relations between the calculation steps and the input and output, and the relation between the calculation steps comprises a sequential relation and a parallel relation.
In the above scheme, the Data2EE primitive model is used for standardizing Data types used in the performance evaluation computation flow, and the Data2EE primitive model includes a basic Data type and a user-defined Data type.
The embodiment of the invention has the following advantages:
according to the assessment model and the assessment model construction method provided by the embodiment of the invention, the assessment model meta-model is created, the visual construction and combination of the assessment model are supported, the calcuatieStep meta-model and the Data2EE meta-model are appropriately decoupled and divided into different packages, so that the implementation of a visual modeling tool is facilitated, in the assessment objects and the assessment methods which relate to various and uncertain, the required assessment model is enumerated, a modeling means which is easy to understand and use by an assessment staff is provided, the workload of the assessment staff in the assessment modeling is obviously reduced, and the construction efficiency of the assessment model is improved.
Drawings
FIG. 1 is a schematic diagram of the structure of an evaluation model of the present invention.
Fig. 2 is a step diagram of an evaluation model construction method of the present invention.
Fig. 3 is a structural diagram of the meta model of the present invention.
Detailed Description
It should be noted that, in the case of no conflict, the embodiments and features in the embodiments may be combined with each other. The invention will be described in detail below with reference to the drawings in connection with embodiments.
As shown in fig. 1, the present invention provides an evaluation model including:
a model layer, a control layer and a view layer;
the model layer is used for storing the model data and model views edited by the control layer, managing modeling elements, storing related modeling elements, and carrying out model combination and model inspection according to the model configuration result output by the control layer;
the control layer is used for responding to related operations of the user, editing model data and model views according to the responses to the related operations of the user, and performing related configuration on the model;
the view layer is used for displaying the model data and the model view edited by the control layer, displaying the modeling elements imported through the model layer and drawing the displayed related data.
In this embodiment, the model layer includes a model storage module, a model management module, an operator library, a model combination module, and a model inspection module, where the model storage module is configured to store model data and a model view edited by the control layer; the model management module comprises a meta model management unit, an operator management unit, a sub model management unit, a model maintenance unit and a model query unit, wherein the meta model management unit is used for constructing a meta model, importing, exporting and modifying the constructed meta model, the operator management unit is used for importing operators for calculating the output of an evaluation model, deleting and modifying operators stored in an operator library, the sub model management unit is used for combining the constructed meta model according to the requirement of the evaluation model to form a sub model, importing, exporting and modifying the formed sub model, the model maintenance unit is used for maintaining modeling elements comprising the meta model, the operators and the sub model, and the model query unit is used for providing a query function of the modeling elements comprising the meta model, the operators and the sub model; the operator library is used for storing operators imported through the model management module and providing corresponding call data sources for the model management module; the model combination module is used for combining a meta model, an operator and a sub model according to a model configuration result output by the control layer; and the model checking module is used for carrying out grammar checking and error positioning according to the model configuration result output by the control layer.
Further, the model management module is mainly responsible for managing modeling elements, including importing and deleting the modeling elements, so that uniqueness, interface standardability and the like of each modeling element identification can be guaranteed, and meanwhile, the model management module can provide a query function of the modeling elements, so that a user can conveniently query the modeling elements according to names or identifications during modeling.
Further, in the visual modeling interface, selecting an operator to be added in an operator library by using a mouse, then dragging the operator to the modeling interface, releasing the mouse to enable an element icon corresponding to the operator to appear in the interface, and enabling a parameter configuration dialog box of the operator to appear, so that the importing process of the operator is completed after the parameters are configured; the operator can be modified by opening a parameter interface of the operator in a mode of double-clicking an operator icon in the visual interface by using a mouse; the operator deletion can be realized through two modes of a right mouse button menu and a keyboard hot button.
In this embodiment, the control layer includes a user operation response module, a model editing module, and a model configuration module, where the user operation response module is configured to respond to operations of a mouse, a shortcut key, a toolbar, and a menu by a user, the model editing module is configured to edit model data and a model view according to the response of the user operation response module, and the model configuration module is configured to configure a model interface and model parameters according to the response of the user operation response module.
In this embodiment, the view layer includes a model display module, a modeling element display module, and a graphics drawing module, where the model display module is configured to set and display icons, layouts, characters, and connection lines edited by the control layer; the modeling element display module is used for displaying modeling elements imported through the model layer; the graphic drawing module is used for drawing the connecting lines, the ports, the icons and the characters displayed by the model display module.
As shown in fig. 2 and 3, the present invention provides an evaluation model construction method, which includes:
step S1: defining and constructing a TopEntry package model, a calculteStep package model and a Data2EE package model according to the MOF package modeling specification;
step S2: combining the constructed meta-models according to the requirements of the evaluation model to form sub-models;
step S3: constructing an initial evaluation model comprising a model layer, a control layer and a view layer through the formed sub-model;
step S4: and calculating the output of the evaluation model through an operator imported by the model layer, and optimizing the initial evaluation model according to a calculation result to obtain a final evaluation model.
In this embodiment, a topentary meta-model, a calculteStep meta-model and a Data2EE meta-model are constructed in a visual modeling tool adopting an MVC design architecture, the constructed meta-model is imported, the constructed meta-model is dragged according to the requirements of an evaluation model in a visual interface of the modeling tool, so that the constructed meta-model is combined to form a sub-model, the formed sub-model is imported, the imported sub-model is dragged in the visual interface of the modeling tool, an initial evaluation model comprising a model layer, a control layer and a view layer is constructed, an operator is imported in the visual interface of the modeling tool, the output of the evaluation model is calculated through the operator, the initial evaluation model is optimized according to the calculation result, and the final evaluation model is obtained.
In this embodiment, the view layer includes a model display module, a modeling element display module, and a graphics drawing module, where the model display module is configured to set and display icons, layouts, characters, and connection lines edited by the control layer; the modeling element display module is used for displaying modeling elements imported through the model layer; the graphic drawing module is used for drawing the connecting lines, the ports, the icons and the characters displayed by the model display module.
In this embodiment, the topentary primitive model is an entry designed for a meta model, where the topentary primitive model includes a root element Process of the meta model, and an expression of the root element Process of the meta model is: p= < Input, step, relation, dataType, output >, wherein p is the root element Process, input is Input for importing external data into the performance evaluation calculation flow, output is Output for exporting the imported performance evaluation calculation result to the external environment, step is the calculation Step set in the performance evaluation calculation flow, relation is the interrelationship between Step and Input, output.
In this embodiment, the calculteStep package model is used for describing various calculation steps in a calculation step set in a performance evaluation calculation flow, the calculteStep package model includes a calculation step and an association relation, the calculation step includes an atomic calculation step and a composite calculation step, and an expression of the atomic calculation step is: s is(s) atom =<Parameter, Binding, Config, Result>Wherein s is atom The method comprises the steps of acquiring an input interface from the outside as a calculation step, wherein Binding is the association from the atomic calculation step to a specific calculation program and is used for determining and calling the corresponding calculation program to complete a specified calculation function, config is configuration information of the atomic calculation step, and Result is Result data generated by calculating the Parameter through a calculation program corresponding to Binding in the atomic calculation step under the condition of given Config; the expression of the composite calculation step is as follows: s is(s) composite =<Parameter, Step CS , Relation CS , Result>Wherein s is composite Belongs to a composite calculation Step set, step CS Belonging to a subset of Step, the Relation CS Is a subset of the relationship, including Step CS All direct relationships existing between members; the association relation comprises different calculation steps and various relations between the calculation steps and the input and output, and the relation between the calculation steps comprises a sequential relation and a parallel relation.
Further, the calculation step may be formally expressed as:
wherein atom step is an atomic calculation step, and compoiste step is a composite calculation step; association relation formalized tableThe method is shown as follows:
where Input is the Input and Output is the Output.
Further, the difference between the sequential relationship and the parallel relationship mainly relates to the execution sequence and the data transfer, and sa ≫ sb represents the sequential relationship, sa represents the parallel relationship, s i Representing the calculation steps, times(s) i ) Represents s i Time of start of execution, time (s i ) Represents s i The time of ending execution, input (s i ) Represents s i Input data set, output(s) i ) Represents s i The sequential and parallel relationships may be formalized separately in execution order as:
the sequential and parallel relationships may be formally represented on data transfer as:
further, the constraint expression of the composite calculation step includes:
In this embodiment, the Data2EE primitive model is used to normalize Data types used in the performance evaluation computation flow, and the Data2EE primitive model includes a basic Data type and a user-defined Data type.
In this embodiment, the main reason for separating the Data2EE packet meta-model into one packet is:
the CalrulateStep package element model mainly focuses on the combination of calculation steps, the design is relatively stable, the cohesion degree is high, the independence is strong, the Data2EE Bao Yuan model mainly aims at efficiency evaluation input Data and index Data, the design of the element model has a certain variability, the problem of expandability needs to be considered, and the element model needs to be supported to adapt to new Data types through adjustment, so that the two elements are independent, and the influence of the Data types to the CalrulateStep package element model can be furthest reduced;
the calculation steps and the Data2EE package meta-model are complex, and the local complexity is prevented from being too high by separate management, so that adverse effects on meta-model design and maintenance are avoided;
the computation steps and data type modeling will be done in different views, so that moderate decoupling and partitioning of the metamodels of both into different packages is advantageous for the implementation of the visual modeling tool.
It should be noted that the foregoing detailed description is exemplary and is intended to provide further explanation of the invention. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments in accordance with the present application. As used herein, the singular is intended to include the plural unless the context clearly indicates otherwise. Furthermore, it will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, steps, operations, devices, components, and/or groups thereof.
It should be noted that the terms "first," "second," and the like in the description and claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the terms so used are interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or otherwise described herein.
Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those elements but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Spatially relative terms, such as "above … …," "above … …," "upper surface at … …," "above," and the like, may be used herein for ease of description to describe one device or feature's spatial location relative to another device or feature as illustrated in the figures. It will be understood that the spatially relative terms are intended to encompass different orientations in use or operation in addition to the orientation depicted in the figures. For example, if the device in the figures is turned over, elements described as "above" or "over" other devices or structures would then be oriented "below" or "beneath" the other devices or structures. Thus, the exemplary term "above … …" may include both orientations of "above … …" and "below … …". The device may also be positioned in other different ways, such as rotated 90 degrees or at other orientations, and the spatially relative descriptors used herein interpreted accordingly.
In the above detailed description, reference is made to the accompanying drawings, which form a part hereof. In the drawings, like numerals typically identify like components unless context indicates otherwise. The illustrated embodiments described in the detailed description, drawings, and claims are not meant to be limiting. Other embodiments may be utilized, and other changes may be made, without departing from the spirit or scope of the subject matter presented herein.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. An evaluation model construction method, characterized in that the method comprises:
defining and constructing a TopEntry package element model, a calculteStep package element model and a Data2EE package element model according to an MOF package element modeling specification, wherein the TopEntry package element model is an entry designed by the meta model, the TopEntry package element model comprises a root element Process of the meta model, and the expression of the root element Process of the meta model is as follows: p= < Input, step, relation, dataType, output >, wherein p is root element Process, input is Input for importing external data into the efficiency evaluation calculation flow, output is Output for exporting the imported efficiency evaluation calculation result to the external environment, step is a calculation Step set in the efficiency evaluation calculation flow, relation is interrelation between Step and Input, output;
the CalrulateStep package element model and the Data2EE package element model are moderately decoupled and divided into different packages;
combining the constructed meta-models according to the requirements of the evaluation model to form sub-models;
constructing an initial evaluation model comprising a model layer, a control layer and a view layer through the formed sub-model;
and calculating the output of the evaluation model through an operator imported by the model layer, and optimizing the initial evaluation model according to a calculation result to obtain a final evaluation model.
2. The method for constructing an evaluation model according to claim 1, wherein the calculteStep package model is used for describing various calculation steps in a calculation step set in a performance evaluation calculation flow, the calculteStep package model comprises a calculation step and an association relation, the calculation step comprises an atomic calculation step and a composite calculation step, and the expression of the atomic calculation step is as follows: satom= < Parameter, binding, config, result >, wherein satom belongs to an atomic calculation step set, parameter is an input sequence of an atomic calculation step, the Parameter is an interface for acquiring input from the outside as a calculation step, binding is an association from the atomic calculation step to a specific calculation program and is used for determining and calling a corresponding calculation program to complete a specified calculation function, config is configuration information of the atomic calculation step, and Result is Result data generated by calculating the Parameter through a calculation program corresponding to Binding in the atomic calculation step under the condition of given Config; the expression of the composite calculation step is as follows: scomposite= < Parameter, stepCS, relationCS, result >, wherein scomposite belongs to a complex set of computation steps, stepCS belongs to a subset of Step, and relationship cs is a subset of relationship, including all direct relationships existing between StepCS members; the association relation comprises different calculation steps and various relations between the calculation steps and the input and output, and the relation between the calculation steps comprises a sequential relation and a parallel relation.
3. The method of claim 1, wherein the Data2EE meta-model is used to normalize Data types used in a performance evaluation computing process, the Data2EE meta-model comprising a base Data type and a user-defined Data type.
4. An evaluation model constructed by the evaluation model construction method according to any one of claims 1 to 3, characterized in that the model comprises:
a model layer, a control layer and a view layer;
the model layer is used for storing model data and model views edited by the control layer, managing modeling elements, storing related modeling elements, and carrying out model combination and model inspection according to model configuration results output by the control layer, wherein the model layer comprises a model management module, the model management module comprises a meta-model management unit, an operator management unit, a sub-model management unit, a model maintenance unit and a model query unit, the meta-model management unit is used for constructing a meta-model, importing, exporting and modifying the constructed meta-model, the operator management unit is used for importing an operator for calculating the output of an evaluation model, deleting and modifying an operator stored in an operator library, the sub-model management unit is used for combining the constructed meta-model according to the requirements of the evaluation model to form a sub-model, importing, exporting and modifying the formed sub-model, the model maintenance unit is used for maintaining modeling elements comprising the meta-model, the operator and the sub-model, and the model query unit is used for providing a query function of the modeling elements comprising the meta-model, the operator and the sub-model;
the control layer is used for responding to related operations of a user, editing model data and model views according to the responses to the related operations of the user and carrying out related configuration on the models, wherein the control layer comprises a user operation response module, a model editing module and a model configuration module, the user operation response module is used for responding to operations of a mouse, a shortcut key, a toolbar and a menu by the user, the model editing module is used for carrying out model data and model views according to the responses of the user operation response module, and the model configuration module is used for carrying out configuration on model interfaces and model parameters according to the responses of the user operation response module;
the view layer is used for displaying the model data and the model view edited by the control layer, displaying the modeling elements imported through the model layer and drawing the displayed related data.
5. The assessment model of claim 4, wherein the model layer comprises a model storage module for storing model data and model views compiled by the control layer.
6. The assessment model of claim 5, wherein the model layer further comprises an operator library for storing operators imported by the model management module and providing the model management module with corresponding call data sources.
7. The assessment model of claim 6, wherein the model layer further comprises a model combination module and a model inspection module, the model combination module configured to perform meta-model, operator and sub-model combinations based on model configuration results output by the control layer; and the model checking module is used for carrying out grammar checking and error positioning according to the model configuration result output by the control layer.
8. The assessment model of claim 4, wherein the view layer comprises a model display module, a modeling element display module, and a graphics rendering module, the model display module being configured to set and display icons, layouts, words, and connection lines edited by the control layer; the modeling element display module is used for displaying modeling elements imported through the model layer; the graphic drawing module is used for drawing the connecting lines, the ports, the icons and the characters displayed by the model display module.
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