CN115826932A - 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, belonging to the technical field of system evaluation, wherein the model comprises the following steps: the model layer is used for storing model data and a model view, managing modeling elements, storing related modeling elements and carrying out model combination and model check according to a model configuration result output by the control layer; the control layer is used for responding to the relevant operation of the user, editing the model data and the model view according to the response of the relevant operation of the user and carrying out relevant configuration on the model; and 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. The evaluation model and the evaluation model construction method provided by the application provide a modeling means which is easy to understand and use by evaluators, remarkably reduce the workload of the evaluators in evaluation modeling, and improve the construction efficiency of the evaluation model.
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
Currently, most of the prior art uses a comprehensive performance evaluation system to perform system performance evaluation, and usually, an evaluation model needs to be designed for an evaluated object in each evaluation task, wherein the evaluation model involves a plurality of steps such as building an evaluation index system, configuring a data source, building an evaluation calculation model, and setting a display scheme.
However, in the background of diversified use patterns and organization application conditions in actual combat, the problems of diversity, uncertainty and the like of objects involved in actual engineering exist in the prior art, and the problems that modeling efficiency of evaluators is low and development of projects is affected due to the fact that it is difficult to enumerate all evaluation models required in a target range in advance are also existed.
Disclosure of Invention
The invention aims to provide an evaluation model and an evaluation model construction method to solve the defects in the prior art, and the technical problem to be solved by the invention is realized by the following technical scheme.
The invention provides an evaluation model, which comprises the following components:
the device comprises a model layer, a control layer and a view layer;
the model layer is used for storing the model data and the model view edited by the control layer, managing the modeling elements, storing the related modeling elements, and performing model combination and model check according to the model configuration result output by the control layer;
the control layer is used for responding to the relevant operation of the user, editing model data and model views according to the response of the relevant operation of the user, and carrying out relevant 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, and 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 and 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 and deleting and modifying the 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 and 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.
In the above scheme, the model layer further includes an operator library, and the operator library is configured to store the operators imported through the model management module, and provide corresponding call data sources for the model management module.
In the above scheme, the model layer further includes a model combination module and a model checking module, and the model combination module is configured to combine the meta-model, the operator and the 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.
In the above solution, the control layer includes a user operation response module, a model editing module, and a model configuration module, 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 a response of the user operation response module, and the model configuration module is configured to configure a model interface and model parameters according to a response of the user operation response module.
In the above solution, the view layer includes a model display module, a modeling element display module, and a graph drawing module, and the model display module is configured to set and display icons, layouts, characters, and connecting lines edited by the control layer; the modeling element display module is used for displaying the modeling elements imported through the model layer; the graph 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 meta-model, a CalculateStap package meta-model and a Data2EE package meta-model according to the MOF meta-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 introduced by the model layer, and optimizing the initial evaluation model according to the calculation result to obtain a final evaluation model.
In the above solution, the TopEntry package meta-model is an entry designed for a meta-model, the TopEntry package meta-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, relationship, dataType, output >, where p is a root element Process, input is an Input for importing external data into a performance evaluation calculation Process, output is an Output for exporting an import performance evaluation calculation result to an external environment, step is a calculation Step set in the performance evaluation calculation Process, and Relationship between steps and Input and Output.
In the above solution, the callatestep package meta-model is used to describe the computation steps in the performance evaluation computation flowThe calculation steps comprise an atomic calculation step and a composite calculation step, and the expression of the atomic calculation step is as follows: s atom =<Parameter, Binding, Config, Result>Wherein s is atom The method comprises the following steps that the method belongs to an atom calculation step set, parameter is an input sequence of the atom calculation step and serves as an interface for the calculation step to obtain input from the outside, binding is the association of the atom 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 atom calculation step, result is Result data generated by calculating the Parameter through the calculation program corresponding to the Binding in the atom calculation step under the condition of given Config; the expression of the composite calculation step is as follows: s composite =<Parameter, Step CS , Relation CS , Result>Wherein s is composite Belongs to a composite computation Step set, step CS Belongs to a subset of Step, relation CS Is a subset of relationships, including Step CS All direct relationships that exist between members; the incidence relation comprises different calculation steps and various relations between the calculation steps and input and output, and the relation existing between the calculation steps comprises a sequence relation and a parallel relation.
In the above solution, the Data2EE package meta-model is used to normalize the Data types used in the performance evaluation calculation process, and the Data2EE package meta-model includes a basic Data type and a user-defined Data type.
The embodiment of the invention has the following advantages:
the evaluation model and the evaluation model construction method provided by the embodiment of the invention support the visual construction and combination of the evaluation model by establishing the evaluation model meta-model, appropriately decouple the callback package meta-model and the Data2EE package meta-model and divide the models into different packages, are favorable for realizing a visual modeling tool, enumerate the required evaluation model in various and uncertain evaluation objects and evaluation methods, provide a modeling means which is easy to be understood and used by evaluators, remarkably reduce the workload of the evaluators during evaluation modeling, and improve the construction efficiency of the evaluation model.
Drawings
FIG. 1 is a schematic diagram of an evaluation model according to the present invention.
FIG. 2 is a step diagram of a method of constructing an assessment model according to the present invention.
FIG. 3 is a block diagram of the composition of the meta model of the present invention.
Detailed Description
It should be noted that, in the present application, the embodiments and features of the embodiments may be combined with each other without conflict. The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
As shown in fig. 1, the present invention provides an evaluation model, comprising:
the device comprises a model layer, a control layer and a view layer;
the model layer is used for storing the model data and the model view edited by the control layer, managing the modeling elements, storing the related modeling elements, and performing model combination and model check according to the model configuration result output by the control layer;
the control layer is used for responding to the relevant operation of the user, editing model data and model views according to the response of the relevant operation of the user, and carrying out relevant 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 checking module, and 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 and 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 and 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 requirements of the evaluation model to form a sub-model and 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 the operators imported by the model management module and providing corresponding calling data sources for the model management module; the model combination module is used for combining the meta-model, the operator and the sub-model according to the 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.
Furthermore, the model management module is mainly responsible for management of modeling elements, including importing and deleting the modeling elements, and can ensure uniqueness, interface normalization and the like of each modeling element identifier.
Further, in a visual modeling interface, selecting an operator to be added in an operator library by using a mouse, dragging the operator to the modeling interface, releasing the mouse, then enabling an element icon corresponding to the operator to appear in the interface, enabling a parameter configuration dialog box of the operator to appear, and completing the import process of the operator after the parameters are configured; the modification of the operator can be realized by opening a parameter interface of the operator in a mode of double clicking an operator icon in the visual interface by a mouse and directly modifying; operator deletion can be realized by a mouse right-click menu and a keyboard hot key.
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 a user's operation on a mouse, a shortcut key, a toolbar, and a menu, the model editing module is configured to edit model data and a model view according to a response of the user operation response module, and the model configuration module is configured to configure a model interface and model parameters according to a 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 graph drawing module, where the model display module is used to set and display an icon, a layout, a text, and a connection line edited by the control layer; the modeling element display module is used for displaying the modeling elements imported through the model layer; the graph 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, including:
step S1: defining and constructing a TopEntry package meta-model, a CalculateStap package meta-model and a Data2EE package meta-model according to the MOF meta-modeling specification;
step S2: combining the constructed meta-models according to the requirements of the evaluation model to form sub-models;
and step S3: constructing an initial evaluation model comprising a model layer, a control layer and a view layer through the formed sub-model;
and step S4: and calculating the output of the evaluation model through an operator introduced by the model layer, and optimizing the initial evaluation model according to the calculation result to obtain a final evaluation model.
In this embodiment, a TopEntry package meta-model, a callatesource package meta-model, and a Data2EE package meta-model are constructed in a visual modeling tool adopting an MVC design architecture, the constructed meta-models are imported and dragged in a visual interface of the modeling tool according to requirements of an evaluation model, so that the constructed meta-models are 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 including a model layer, a control layer, and a view layer is constructed, an operator is imported in the visual interface of the modeling tool, output of the evaluation model is calculated through the operator, the initial evaluation model is optimized according to a calculation result, and a final evaluation model is obtained.
In this embodiment, the view layer includes a model display module, a modeling element display module, and a graph drawing module, where the model display module is used to set and display an icon, a layout, a text, and a connection line edited by the control layer; the modeling element display module is used for displaying the modeling elements imported through the model layer; the graph 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 TopEntry package meta-model is an entry designed for a meta-model, the TopEntry package meta-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, relationship, dataType, output >, where p is a root element Process, input is an Input for importing external data into a performance evaluation calculation Process, output is an Output for exporting an import performance evaluation calculation result to an external environment, step is a calculation Step set in the performance evaluation calculation Process, and Relationship between steps and Input and Output.
In this embodiment, the callatestep package meta-model is used to describe various computation steps in a computation step set in a performance evaluation computation flow, the callatestep package meta-model includes a computation step and an association relationship, the computation step includes an atomic computation step and a composite computation step, and an expression of the atomic computation step is: s atom =<Parameter, Binding, Config, Result>Wherein s is atom The method belongs to an atom calculation step set, wherein Parameter is an input sequence of an atom calculation step and is used as an interface for acquiring input from the outside of the calculation step, binding is the association of the atom 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 atom calculation step, result is the configuration information of the given atom calculation stepUnder the condition of Config, calculating the Parameter by a calculation program corresponding to Binding in the atomic calculation step to generate result data; the expression of the composite calculation step is as follows: s composite =<Parameter, Step CS , Relation CS , Result>Wherein s is composite Belongs to a composite computation Step set, step CS Belongs to a subset of Step, relation CS Is a subset of relationships, including Step CS All direct relationships that exist between members; the incidence relation comprises different calculation steps and a plurality of relations between the calculation steps and input and output, and the relation existing between the calculation steps comprises a sequence relation and a parallel relation.
Further, the computation step can be formalized as:
wherein AtomStep is an atomic calculation step, and ComositeStep is a composite calculation step; the association can be formally expressed as:
wherein Input is Input and Output is Output.
Furthermore, the difference between the sequential relationship and the parallel relationship mainly appears in the aspect of execution sequence and data transmission, namely sa 8811sb represents the sequential relationship, sa | sb represents the parallel relationship, and s represents i Representing calculated steps, times(s) i ) Represents s i Time at which execution is started, timef(s) i ) Represents s i Time point when execution is ended, input(s) i ) Represents s i Input data set, output(s) of i ) Represents s i The order relation and the parallel relation can be expressed in a formalized way in the execution order as follows:
the sequential relationship and the parallel relationship can be expressed in a data transfer formalized as:
further, the constraint expression of the composite computation step includes:
In this embodiment, the Data2EE package meta model is used to specify the Data type used in the performance evaluation calculation process, and the Data2EE package meta model includes a basic Data type and a user-defined Data type.
In this embodiment, the main reason for dividing the Data2EE package meta-model into one package is:
the calculation step combination is mainly concerned by the callateTep package meta-model, the design is relatively stable, the cohesion is high, the independence is strong, the Data2EE package meta-model mainly faces to the efficiency evaluation input Data and the index Data, certain changeability is achieved, the expandability problem needs to be considered in the meta-model design, and the meta-model needs to be adjusted to adapt to a new Data type, so that the callateTep package meta-model and the Data evaluation meta-model are independently separated to reduce the influence of Data type change on the callateTep package meta-model to the maximum extent;
the calculation step and the Data2EE package meta-model are relatively complex, and the separated management can avoid the over-high local complexity, thereby avoiding the adverse effect on the design and maintenance of the meta-model;
the computation step and the data type modeling are completed in different views, so that the meta-models of the computation step and the data type modeling are reasonably decoupled and divided into different packages, and the realization of a visual modeling tool is facilitated.
It should be noted that the above detailed description is exemplary and is intended to provide further explanation of the disclosure. 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 according to the present application. As used herein, the singular is intended to include the plural unless the context clearly dictates 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 combinations thereof.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements 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 other sequences than those illustrated or otherwise described herein.
Furthermore, the terms "comprising" and "having," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements explicitly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
For ease of description, spatially relative terms such as "over 8230 \ 8230;,"' over 8230;, \8230; upper surface "," above ", etc. may be used herein to describe the spatial relationship of one device or feature to another device or feature as shown in the figures. It will be understood that the spatially relative terms are intended to encompass different orientations of the device in use or operation in addition to the orientation depicted in the figures. For example, if a device in the figures is turned over, devices described as "above" or "on" other devices or configurations would then be oriented "below" or "under" the other devices or configurations. Thus, the exemplary terms "at 8230; \8230; 'above" may include both orientations "at 8230; \8230;' above 8230; 'at 8230;' below 8230;" above ". The device may also be oriented in other different ways, such as by rotating it 90 degrees or at other orientations, and the spatially relative descriptors used herein interpreted accordingly.
In the foregoing 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 dictates 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 here.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. An assessment model, wherein said model comprises:
the device comprises a model layer, a control layer and a view layer;
the model layer is used for storing the model data and the model view edited by the control layer, managing the modeling elements, storing the related modeling elements, and performing model combination and model check according to the model configuration result output by the control layer;
the control layer is used for responding to the relevant operation of the user, editing model data and model views according to the response of the relevant operation of the user, and carrying out relevant 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.
2. The assessment model of claim 1, wherein the model layer comprises a model storage module and a model management module, the model storage module is used for storing 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 and 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 and deleting and modifying the 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 and 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.
3. The evaluation model of claim 2, wherein the model layer further comprises an operator library, and the operator library is configured to store operators imported by the model management module and provide a corresponding calling data source for the model management module.
4. The evaluation model of claim 3, wherein the model layer further comprises a model combination module and a model checking module, and the model combination module is used for combining the meta model, the operator and the sub model according to the 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.
5. The assessment model of claim 1, wherein the control layer comprises a user operation response module for responding to user operations of a mouse, a shortcut key, a toolbar and a menu, a model editing module for editing model data and model views according to the response of the user operation response module, and a model configuration module for configuring model interfaces and model parameters according to the response of the user operation response module.
6. The evaluation model of claim 1, wherein the view layer comprises a model display module, a modeling element display module and a graphic drawing module, and the model display module is used for setting and displaying icons, layouts, texts and connecting lines edited by the control layer; the modeling element display module is used for displaying the modeling elements imported through the model layer; the graph drawing module is used for drawing the connecting lines, the ports, the icons and the characters displayed by the model display module.
7. An evaluation model construction method, characterized by comprising:
defining and constructing a TopEntry package meta-model, a CalculateStap package meta-model and a Data2EE package meta-model according to the MOF meta-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 introduced by the model layer, and optimizing the initial evaluation model according to the calculation result to obtain a final evaluation model.
8. The method according to claim 7, wherein the TopEntry package meta-model is an entry designed for a meta-model, the TopEntry package meta-model includes a root Process of the meta-model, and the root Process of the meta-model has an expression: p = < Input, step, relationship, dataType, output >, where p is a root element Process, input is an Input for importing external data into a performance evaluation calculation Process, output is an Output for exporting an import performance evaluation calculation result to an external environment, step is a calculation Step set in the performance evaluation calculation Process, and Relationship between steps and Input and Output.
9. The method for constructing an evaluation model according to claim 8, wherein the callatestep package meta-model is used to describe various computation steps in a set of computation steps in a performance evaluation computation process, the callatestep package meta-model includes a computation step and an association relationship, the computation step includes an atomic computation step and a composite computation step, and the atomic computation step has the following expression: s atom = <Parameter, Binding, Config, Result>Wherein s is atom The method comprises the following steps that the method belongs to an atom calculation step set, parameter is an input sequence of the atom calculation step and serves as an interface for the calculation step to obtain input from the outside, binding is the association of the atom 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 atom calculation step, result is Result data generated by calculating the Parameter through the calculation program corresponding to the Binding in the atom calculation step under the condition of given Config; the expression of the composite calculation step is as follows: s composite = <Parameter, Step CS , Relation CS , Result>Wherein s is composite Belongs to a composite computation Step set, step CS Belongs to a subset of Step, relation CS Is a subset of relationships, including Step CS All direct relationships that exist between members; the incidence relation comprises different calculation steps and a plurality of relations between the calculation steps and input and output, and the relation existing between the calculation steps comprises a sequence relation and a parallel relation.
10. The method as claimed in claim 7, wherein the Data2EE package meta-model is used to specify the Data types used in the performance evaluation calculation process, and the Data2EE package meta-model includes basic Data types and user-defined Data types.
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