CN115801599B - Evaluation model construction method based on using section - Google Patents
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Abstract
The invention relates to an evaluation model construction method based on a use section, which belongs to the technical field of system evaluation, and comprises the following steps: planning a test scheme and designing a use section; collecting test data; inputting test data into a constructed evaluation index system and an evaluation calculation model to obtain index data; analyzing the obtained index data, and optimizing an evaluation index system and an evaluation calculation model; and taking the section as a source model, and taking the evaluation index system and the evaluation calculation model which are subjected to optimization processing as target models respectively to obtain an evaluation model based on the section. According to the evaluation model construction method based on the use section, the development of efficiency evaluation is guided by using the section, and the development is used as a basis of a test, so that effective evaluation input for an evaluation model is ensured; furthermore, the overall capabilities of the assessment system may be presented; and, the coverage of the evaluated index extends to an index capable of reflecting the supporting capability of the network to different upper layer services.
Description
Technical Field
The invention relates to the technical field of system evaluation, in particular to an evaluation model construction method based on a use section.
Background
The transmission performance of a single network system such as a grid information network, a command control system, a spectrum management system and the like is poor and the whole capability cannot be embodied in the evaluation, and the influence of different upper layer services and use modes on the network is also considered in the evaluation.
In the prior art, in order to better evaluate a complex network such as a grid information network, a performance evaluation framework PAF is developed in China for evaluating the end-to-end performance of the GIG and ensuring that the performance can meet the expectations and demands of end users, the PAF constructs 5000 typical use cases of a plurality of GIGs, and by combining the typical use cases, testers can realize realistic simulation of the use cases of the GIGs and complete analysis and evaluation of network efficiency in a simulation scene; meanwhile, in the field combat reliability evaluation for the Ad-hoc network, a method based on a usage profile is used, and the occurrence and change conditions of upper-layer services are described by constructing the usage profile, and the proposed profile definition mainly comprises two aspects: the time period of service transmission and the possible service types; in addition, some universities and scientific research institutions in China also provide methods for carrying out network evaluation from the use angle, and in order to describe the use condition of a user on a network, a plurality of service modeling methods are also adopted, so that the built model is often related to specific evaluation targets and application fields, and each model has emphasis and thousands of years.
However, in the prior art, under the background of various usage modes and application conditions of organization in actual combat, the end-to-end performance of the multi-network system can be evaluated by using the overall capability and the comprehensive usage efficiency, and meanwhile, the coverage range of the evaluated index cannot be extended to the index capable of reflecting the supporting capability of the network to different upper layer services, and in addition, the influence of different upper layer services and usage modes on the network is not considered in the evaluation.
Disclosure of Invention
The invention aims to provide an evaluation model construction method based on a use section so as 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 construction method based on a use section, which comprises the following steps:
determining and evaluating the number of the usage scenes to be collected in a test planning stage, determining the number of test items corresponding to all the usage scenes, determining the specific design content of each usage scene, and planning a test scheme and designing a usage section comprising a plurality of usage scenes;
in the test implementation stage, carrying out a test according to a planned test scheme and a designed use section, and collecting test data of each use scene;
in the efficiency evaluation stage, taking a planned test scheme and a designed use profile as input, respectively constructing an evaluation index system and an evaluation calculation model based on the use profile, taking collected test data of each use scene as input, and calculating each test item through the constructed evaluation index system and the evaluation calculation model to obtain index data;
analyzing the obtained index data, adjusting or adding the input of the evaluation index system and the evaluation calculation model and the evaluation calculation parameters, and adjusting or adding the use scene so as to optimize the evaluation index system and the evaluation calculation model;
the method comprises the steps of taking a section as a source model, taking an evaluation index system and an evaluation calculation model which are subjected to optimization processing as target models, defining grammar specifications of the source model and the target model at a meta model layer, defining a conversion rule from the source model to the target model, converting the source model into the target model at a model layer, and obtaining the evaluation model based on the section.
In the above scheme, a time sequence formed by a plurality of moments is defined in each use scene, and one or more events can occur at each moment, wherein the events comprise service application events and environment change events, and the service application events are used for describing the conditions that different types of services occur, change or end at a given moment and a given system node, wherein the different types of services comprise voice services and data services; the environmental change event is used to describe a change in external environmental factors associated with the evaluation system, wherein the external environmental factors include electromagnetic environment and spatial location.
In the above-mentioned scheme, the using the profile as the source model, respectively using the evaluation index system and the evaluation calculation model that are subjected to the optimization process as the target model, defining the grammar specifications of the source model and the target model at a meta-model layer, defining the conversion rule from the source model to the target model, and converting the source model into the target model at a model layer, wherein the obtaining the evaluation model based on the using the profile includes:
taking the section as a source model, and taking an evaluation index system and an evaluation calculation model which are subjected to optimization treatment as target models respectively;
defining a source model by using a section model grammar specification at a meta model layer, defining an evaluation index system by using an index system model grammar specification, and defining an evaluation calculation model by using an evaluation calculation model grammar specification;
defining a conversion rule from a use section to an evaluation index system as an index system conversion rule at a meta-model layer, and defining a conversion rule from a use section to an evaluation calculation model as a calculation model conversion rule;
establishing an association relation between the using profile and an evaluation index system in the meta-model layer through an index system conversion rule, and establishing an association relation between the using profile and an evaluation calculation model through a calculation model conversion rule;
embedding the index system conversion rule and the calculation model conversion rule into a model conversion tool positioned at a model layer;
converting the usage profile into an evaluation index system and an evaluation calculation model respectively through a model conversion tool at a model layer;
an assessment model based on the usage profile is obtained.
In the above solution, the index system conversion rule includes: grouping the usage scenes as first-level indexes in an evaluation index system, wherein each usage scene in the usage profile is taken as one group; grouping the system nodes as second-level indexes in an evaluation index system, wherein the importance level corresponding to each system node corresponds to one group; and grouping the service categories as third-level indexes in the evaluation index system, wherein the importance level corresponding to each service corresponds to one group.
In the above solution, the calculation model conversion rule includes: a calculation branch is established for each use scene and used for calculating network efficiency indexes under each use scene, and a data acquisition operator is added for each use scene and used for extracting test data related to each use scene; and combining the system nodes and the service classes of different importance levels under the same use scene, establishing a calculation branch for each combination, setting data filtering conditions corresponding to each calculation branch, and calculating and evaluating the service quality index of the corresponding service on the corresponding system node by the system through the calculation branch.
In the above scheme, the specific design content of each usage scenario includes a service application event, an environment change event, and occurrence timings of various events.
In the above-mentioned scheme, the test scheme includes corresponding test items arranged for each use scenario, and the order to be developed corresponding to all the test items.
In the above-described scheme, the index data includes system performance index data, comprehensive use performance index data, and combat suitability evaluation index data.
In the above scheme, the importance level corresponding to the system node includes importance and general.
In the above-described scheme, the importance levels corresponding to the traffic classes include important, general and unimportant.
The embodiment of the invention has the following advantages:
according to the evaluation model construction method based on the use section, the development of efficiency evaluation is guided by using the section, and meanwhile, the evaluation model construction method is used as a basis for implementing a system simulation test, so that effective evaluation input is provided for an evaluation model, and the obtained evaluation result can reflect the service guarantee capability of the model to the use scene; in addition, the end-to-end performance of the evaluation crossing the multi-network system is improved, and the overall capability of the evaluation system can be presented; the coverage of the evaluated metrics extends to metrics that reflect the network's support capabilities for different upper layer services, and the impact of different upper layer services and usage patterns on the network is taken into account in the evaluation.
Drawings
FIG. 1 is a flow chart of steps of an embodiment of an assessment model construction method based on a usage profile of the present invention.
Fig. 2 is a schematic structural view of a use section of the present invention.
FIG. 3 is a flow chart of construction and use of the usage profile.
Fig. 4 is a schematic structural diagram of acquiring an evaluation model based on a usage profile.
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 a method for constructing an evaluation model based on a usage profile, the method comprising:
step S1: and determining and evaluating the number of the usage scenes to be collected in the test planning stage, determining the number of test items corresponding to all the usage scenes, determining the specific design content of each usage scene, and planning a test scheme and a design to comprise the usage profiles of a plurality of the usage scenes.
In this embodiment, the usage profile refers to a time sequence description of events and environments experienced by the evaluation object during the usage process of the user, that is, in a time period for completing the specified task, and is mainly used for describing the usage situation of the evaluation object by the user.
As shown in fig. 2, the usage profile may be further defined as: in different scenarios, the usage profile may contain one or more usage scenarios, each describing one usage scenario for the system under evaluation, such as: daily battle duty, field maneuver, etc., defining a time sequence of several moments in each usage scenario, each moment having one or more events, including a business application event and an environment change event, the business application event describing a situation in which different classes of traffic occur, change, or end at a given moment, on a given system node, wherein the different classes of traffic include voice traffic and data traffic; the environment change event is used for describing the change situation of external environment factors related to the evaluation system, wherein the external environment factors comprise electromagnetic environment and spatial position, the environment change event is independent of the evaluation system and nodes thereof, and the business application event is located on a certain node of the evaluation system, so that a located association relationship exists between the environment change event and the business application event.
In this embodiment, the specific design content of each usage scenario includes a service application event, an environment change event, and an occurrence timing of various events.
Step S2: and in the test implementation stage, carrying out a test according to the planned test scheme and the designed use profile and collecting test data of each use scene.
In this embodiment, the test scheme includes a corresponding test item arranged for each usage scenario, and an order to be developed corresponding to all the test items.
Step S3: and in the efficiency evaluation stage, taking a planned test scheme and a designed use profile as input, respectively constructing an evaluation index system and an evaluation calculation model based on the use profile, taking collected test data of each use scene as input, and calculating each test item through the constructed evaluation index system and the evaluation calculation model to obtain index data.
In this embodiment, the index data includes system performance index data, comprehensive use performance index data, and combat suitability evaluation index data.
In this embodiment, the type differences in system performance, comprehensive utilization performance, and combat suitability evaluation are shown in table 1.
TABLE 1 type gap Table of efficacy
As shown in fig. 3, taking the example of the grid network, from constructing the usage profile to conducting the test and evaluation according to the usage profile, the following three stages can be divided:
the first stage is a test planning stage, mainly used for planning a test scheme and designing a use profile, mainly completed by a test management control system, and when a comprehensive use efficiency evaluation task based on the use profile is carried out, a tester needs to add content about the design of the system use profile at the stage, and the method specifically comprises two works: firstly, giving an overall plan of a typical usage scenario, namely determining how many pieces of test data under the usage scenario need to be collected for the evaluation, and arranging at least one independent test item for each scenario; secondly, giving detailed design of each scene, wherein the specific design content comprises business application events, environment change events, occurrence time sequences of various events and the like;
the second stage is a test implementation stage which is mainly completed by a grid network semi-physical simulation system, and is used for carrying out tests and collecting data according to a test scheme and a use section, wherein the test scheme gives which tests are to be carried out and the order in which the tests are to be carried out; the usage profile gives which business application events and environment change events to simulate in each type of trial;
the third stage is a performance evaluation stage, which is further divided into three steps:
firstly, constructing a performance evaluation model, wherein the step adopts an automatic model generation technology to assist an evaluator to automatically generate an evaluation index system and an evaluation calculation model which accord with a profile design by taking a test scheme and a profile as input;
secondly, an evaluation calculation step, wherein test data of each use scene collected in the second stage is used as input, and various specified evaluation calculations are completed by means of an automatically generated evaluation index system and an evaluation calculation model, so that performance index and efficiency index data are obtained;
and finally, an evaluation analysis step, wherein the evaluation analysis step is used for carrying out various data analyses aiming at index data obtained by evaluation calculation or combining evaluation calculation process data, so as to help an evaluator to better understand an evaluation result and assist the evaluation result to analyze the reason causing the result.
And the process can be iterated repeatedly, after one round of test and evaluation are completed, feedback can be provided for the development of the next round of test according to the evaluation result, so that a tester can be helped to adjust or increase the test content, adjust or increase the use scene, collect different index data, adjust the evaluation calculation parameters and take other possible measures.
Step S4: and analyzing the obtained index data, adjusting or adding the input of the evaluation index system and the evaluation calculation model and the evaluation calculation parameters, and adjusting or adding the use scene so as to optimize the evaluation index system and the evaluation calculation model.
Step S5: the method comprises the steps of taking a section as a source model, taking an evaluation index system and an evaluation calculation model which are subjected to optimization processing as target models, defining grammar specifications of the source model and the target model at a meta model layer, defining a conversion rule from the source model to the target model, converting the source model into the target model at a model layer, and obtaining the evaluation model based on the section.
As shown in fig. 4, the method for using the profile as the source model, respectively using the evaluation index system and the evaluation calculation model which are subjected to the optimization processing as the target model, defining the grammar specification of the source model and the target model at a meta-model layer, defining the conversion rule from the source model to the target model, converting the source model into the target model at a model layer, and obtaining the evaluation model based on the using the profile includes:
taking the section as a source model, and taking an evaluation index system and an evaluation calculation model which are subjected to optimization treatment as target models respectively;
defining a source model by using a section model grammar specification at a meta model layer, defining an evaluation index system by using an index system model grammar specification, and defining an evaluation calculation model by using an evaluation calculation model grammar specification;
defining a conversion rule from a use section to an evaluation index system as an index system conversion rule at a meta-model layer, and defining a conversion rule from a use section to an evaluation calculation model as a calculation model conversion rule;
establishing an association relation between the using profile and an evaluation index system in the meta-model layer through an index system conversion rule, and establishing an association relation between the using profile and an evaluation calculation model through a calculation model conversion rule;
embedding the index system conversion rule and the calculation model conversion rule into a model conversion tool positioned at a model layer;
converting the usage profile into an evaluation index system and an evaluation calculation model respectively through a model conversion tool at a model layer;
an assessment model based on the usage profile is obtained.
In the present embodiment, the cross-section model grammar specification, the index hierarchy model grammar specification, and the evaluation calculation model grammar specification are described by XML Schema language.
In this embodiment, the index system conversion rule includes: grouping the usage scenes as first-level indexes in an evaluation index system, wherein each usage scene in the usage profile is taken as one group; grouping the system nodes as second-level indexes in an evaluation index system, wherein the importance level corresponding to each system node corresponds to one group; and grouping the service categories as third-level indexes in the evaluation index system, wherein the importance level corresponding to each service corresponds to one group.
In this embodiment, the calculation model conversion rule includes: a calculation branch is established for each use scene and used for calculating network efficiency indexes under each use scene, and a data acquisition operator is added for each use scene and used for extracting test data related to each use scene; and combining the system nodes and the service classes of different importance levels under the same use scene, establishing a calculation branch for each combination, setting data filtering conditions corresponding to each calculation branch, and calculating and evaluating the service quality index of the corresponding service on the corresponding system node by the system through the calculation branch.
In this embodiment, the importance levels corresponding to the system nodes include importance and general.
In this embodiment, the importance levels corresponding to the traffic classes include important, general, and unimportant.
In the present embodiment, the importance level division of the usage scenario, the system node, and the traffic class is shown in table 2.
TABLE 2 importance level classification table
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. A method for constructing an assessment model based on a usage profile, the method comprising:
determining and evaluating the number of the usage scenes to be collected in a test planning stage, determining the number of test items corresponding to all the usage scenes, determining the specific design content of each usage scene, and planning a test scheme and designing a usage section comprising a plurality of usage scenes;
wherein a time sequence of several moments is defined in each usage scenario, each moment one or more events will occur, the events including a service application event and an environment change event, the service application event being used to describe the situation that different classes of services occur, change or end at a given moment, on a given system node, wherein the different classes of services include voice services and data services; the environmental change event is used to describe a change in an external environmental factor associated with the evaluation system, wherein the external environmental factor includes an electromagnetic environment and a spatial location;
in the test implementation stage, carrying out a test according to a planned test scheme and a designed use section, and collecting test data of each use scene;
in the efficiency evaluation stage, taking a planned test scheme and a planned use profile as input, respectively constructing an evaluation index system and an evaluation calculation model based on the use profile, taking collected test data of each use scene as input, and calculating each test item through the constructed evaluation index system and the evaluation calculation model to obtain index data, wherein the index data comprises system efficiency index data, comprehensive use efficiency index data and combat applicability evaluation index data;
analyzing the obtained index data, adjusting or adding the input of the evaluation index system and the evaluation calculation model and the evaluation calculation parameters, and adjusting or adding the use scene so as to optimize the evaluation index system and the evaluation calculation model;
the method comprises the steps of taking a section as a source model, taking an evaluation index system and an evaluation calculation model which are subjected to optimization processing as target models, defining grammar specifications of the source model and the target model at a meta model layer, defining a conversion rule from the source model to the target model, converting the source model into the target model at a model layer, and obtaining the evaluation model based on the section.
2. The method of constructing an evaluation model based on a usage profile according to claim 1, wherein the using the usage profile as a source model, using an evaluation index system and an evaluation calculation model which are subjected to optimization processing as target models, respectively, defining grammar specifications of the source model and the target model at a meta model layer, defining a conversion rule from the source model to the target model, converting the source model into the target model at a model layer, and obtaining the evaluation model based on the usage profile comprises:
taking the section as a source model, and taking an evaluation index system and an evaluation calculation model which are subjected to optimization treatment as target models respectively;
defining a source model by using a section model grammar specification at a meta model layer, defining an evaluation index system by using an index system model grammar specification, and defining an evaluation calculation model by using an evaluation calculation model grammar specification;
defining a conversion rule from a use section to an evaluation index system as an index system conversion rule at a meta-model layer, and defining a conversion rule from a use section to an evaluation calculation model as a calculation model conversion rule;
establishing an association relation between the using profile and an evaluation index system in the meta-model layer through an index system conversion rule, and establishing an association relation between the using profile and an evaluation calculation model through a calculation model conversion rule;
embedding the index system conversion rule and the calculation model conversion rule into a model conversion tool positioned at a model layer;
converting the usage profile into an evaluation index system and an evaluation calculation model respectively through a model conversion tool at a model layer;
an assessment model based on the usage profile is obtained.
3. The evaluation model construction method based on the use profile according to claim 2, wherein the index system conversion rule includes: grouping the usage scenes as first-level indexes in an evaluation index system, wherein each usage scene in the usage profile is taken as one group; grouping the system nodes as second-level indexes in an evaluation index system, wherein the importance level corresponding to each system node corresponds to one group; and grouping the business categories as third-level indexes in an evaluation index system, wherein the importance level corresponding to each business category corresponds to one group.
4. A method of constructing an assessment model based on a usage profile according to claim 3, wherein the calculation model conversion rule includes: a calculation branch is established for each use scene and used for calculating network efficiency indexes under each use scene, and a data acquisition operator is added for each use scene and used for extracting test data related to each use scene; and combining the system nodes and the service classes of different importance levels under the same use scene, establishing a calculation branch for each combination, setting data filtering conditions corresponding to each calculation branch, and calculating and evaluating the service quality index of the corresponding service on the corresponding system node by the system through the calculation branch.
5. The method for constructing an evaluation model based on a usage profile according to claim 1, wherein the specific design content of each usage scenario comprises a service application event, an environment change event and occurrence timings of various events.
6. The method for constructing an evaluation model based on a usage profile according to claim 1, wherein the test scheme includes a corresponding test item arranged for each usage scenario and a sequence to be developed corresponding to all test items.
7. A method of constructing a usage profile based assessment model according to claim 3, wherein the importance levels corresponding to the system nodes include importance and general.
8. A method of constructing a usage profile based assessment model according to claim 3, wherein the importance levels corresponding to the traffic classes include important, general and unimportant.
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