CN116860586A - Component performance evaluation method, system and server - Google Patents
Component performance evaluation method, system and server Download PDFInfo
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- 238000011156 evaluation Methods 0.000 title claims abstract description 168
- 238000011161 development Methods 0.000 claims description 73
- 238000000034 method Methods 0.000 claims description 63
- 230000036541 health Effects 0.000 claims description 34
- 238000013139 quantization Methods 0.000 claims description 34
- 230000008569 process Effects 0.000 claims description 16
- 238000012360 testing method Methods 0.000 claims description 16
- 206010063385 Intellectualisation Diseases 0.000 claims description 7
- 238000004364 calculation method Methods 0.000 claims description 7
- 238000011897 real-time detection Methods 0.000 claims description 4
- 238000010586 diagram Methods 0.000 abstract description 4
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- 238000012544 monitoring process Methods 0.000 description 3
- 238000004806 packaging method and process Methods 0.000 description 2
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3409—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment for performance assessment
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The invention provides a component performance evaluation method, a system and a server, wherein the scheme establishes an alarm memory diagram for low-score alarm data, establishes a comprehensive and detailed scoring mechanism after obtaining a correlation subgraph thereof, and obtains the confidence score of the alarm data more comprehensively by analyzing the correlation among the alarm data, thereby improving the alarm confidence and reducing the false alarm probability.
Description
Technical Field
The present invention relates to the field of component performance evaluation, and in particular, to a component performance evaluation method, system and server.
Background
The component is a standardized software tool which can be repeatedly used in the application development process, is used for packaging data and methods, can realize a specific function, fully utilizes the component, can improve the development efficiency and quality of the application, reduces repeated development, saves investment cost, and has the important performance of the visible component for the performance of the application.
For the components in the prior art, the performance of the components is difficult to effectively quantify in the development process, the quality of the components is difficult to accurately measure, and the components cannot be comprehensively and accurately evaluated; meanwhile, the stability and reliability of the components are difficult to evaluate in the running process of the components, and performance monitoring means after the components are put on shelf are lacked.
In summary, the components in the prior art also lack effective performance evaluation means during development and operation.
Disclosure of Invention
In view of the above, the present invention aims to provide a method, a system and a server for evaluating the performance of a component, which can quantitatively evaluate the performance of the component after being developed and the performance of the component after being put on the shelf, and realize the comprehensive evaluation of the performance of the component, thereby solving the problem of lack of performance evaluation means in the component in the prior art.
In a first aspect, an embodiment of the present invention provides a method for evaluating performance of a component, where the method includes:
acquiring a component to be evaluated, and determining a completion degree parameter of the component; the completion degree parameter is a development state attribute parameter of the component;
determining a maturity result of the component according to the completion degree parameter, and determining an on-shelf performance evaluation value of the component by utilizing the maturity result;
acquiring operation parameters of the component after the component is put on shelf for operation, and determining an operation performance evaluation value of the component by utilizing the operation parameters;
and determining an evaluation result of the component by using the on-shelf performance evaluation value and the running performance evaluation value.
In one embodiment, the step of obtaining the component to be evaluated, and determining the completion parameter of the component, includes:
Determining development state attribute parameters of the component by using development environment parameters of the component;
respectively acquiring a function maturity parameter, a component introduction completeness parameter, a technical document completeness parameter, a component intellectualization parameter, a component test result parameter and a component applicability parameter corresponding to a component in the development state attribute parameter;
and determining the function maturity parameter, the component introduction completeness parameter, the technical document completeness parameter, the component intelligent parameter, the component test result parameter and the component applicability parameter as the completion degree parameter of the component.
In one embodiment, the step of determining a maturity result of the component based on the completion parameter and determining an on-shelf performance assessment value of the component using the maturity result comprises:
acquiring development state attribute parameters contained in the completion degree parameters, and determining a first weight value corresponding to the development state attribute parameters according to the types of the development state attribute parameters;
determining a first quantized value corresponding to the development state attribute parameter, and calculating to obtain a maturity result of the completion degree parameter by using the first weight value and the first quantized value;
and determining the loading performance evaluation value of the component by using the maturity result of the completion degree parameter.
In one embodiment, the step of determining a first quantization value corresponding to the development status attribute parameter and calculating a maturity result of the completion parameter by using the first weight value and the first quantization value includes:
acquiring a plurality of attribute quantization parameters contained in different types of development state attribute parameters, and acquiring a first weight value corresponding to the attribute quantization parameters;
determining a first quantized value of the development state attribute parameter according to the attribute quantization parameter and the first weight sub-value corresponding to the attribute quantization parameter;
and determining a maturity result by using the first weight value and the first quantized value of the development state attribute parameter.
In one embodiment, the step of acquiring the operation parameters of the component after the component is put on shelf and determining the operation performance evaluation value of the component by using the operation parameters includes:
when the assembly runs on the shelf, the assembly is monitored in real time;
determining call success times, call total times, number of coverage systems, average call times and user scoring data corresponding to the components obtained through real-time detection as operation parameters;
and calculating to obtain an operation performance evaluation value of the component by using the operation parameters.
In one embodiment, the step of calculating an operational performance evaluation value of the component using the operational parameters includes:
Determining the health degree of the component according to the calling success times and the calling total times in the operation parameters;
respectively determining a second weight value corresponding to the health degree, the number of coverage systems, the average daily call times and the user scoring data;
and determining a second quantized value corresponding to the health degree, the number of coverage systems, the average daily call times and the user scoring data, and calculating by using the second quantized value and the second weight value to obtain the running performance evaluation value.
In one embodiment, the process of determining the second quantized value corresponding to the health degree, the number of coverage systems, the average number of calls per day, and the user scoring data includes:
respectively acquiring operation quantization parameters corresponding to the health degree, the number of coverage systems, the average daily call times and the user scoring data, and acquiring a second weight value corresponding to the operation quantization parameters;
and respectively acquiring the second quantized values corresponding to the health degree, the number of coverage systems, the average daily call times and the user scoring data according to the operation quantized parameters and the second weight sub-values corresponding to the operation quantized parameters.
In one embodiment, the step of determining the evaluation result of the component using the on-shelf performance evaluation value and the running performance evaluation value includes:
acquiring a third weight value corresponding to the on-frame performance evaluation value and the running performance evaluation value;
Weighting calculation is carried out on the on-shelf performance evaluation value and the running performance evaluation value by using a third weight value, so that an evaluation value of the component is obtained;
comparing the evaluation value of the component with a preset evaluation threshold value, and taking the comparison result as the evaluation result of the component.
In a second aspect, an embodiment of the present invention provides a system for evaluating performance of a component, the system including:
the first evaluation module is used for acquiring the components to be evaluated and determining the completion degree parameters of the components; the completion degree parameter is a development state attribute parameter of the component;
the second evaluation module is used for determining the maturity result of the component according to the completion degree parameter and determining the on-shelf performance evaluation value of the component by utilizing the maturity result;
the third evaluation module is used for acquiring the operation parameters of the component after the component is put on shelf to operate and determining an operation performance evaluation value of the component by utilizing the operation parameters;
and the fourth evaluation module is used for determining an evaluation result of the component by using the on-shelf performance evaluation value and the running performance evaluation value.
In a third aspect, embodiments of the present invention also provide a server, including a processor and a memory, the memory storing computer-executable instructions executable by the processor, the processor executing the computer-executable instructions to implement the steps of the method for evaluating component performance provided in the first aspect.
In a fourth aspect, embodiments of the present invention also provide a storage medium storing computer-executable instructions that, when invoked and executed by a processor, cause the processor to implement the steps of the method for evaluating component performance provided in the first aspect.
In the method, the system and the server for evaluating the component performance, which are provided by the embodiment of the invention, in the process of evaluating the component performance, firstly, a component to be evaluated is obtained, and the completion degree parameter of the component is determined; the completion degree parameter is a development state attribute parameter of the component; then determining the maturity result of the component according to the completion degree parameter, and determining the loading performance evaluation value of the component by utilizing the maturity result; acquiring operation parameters of the component after the component is put on shelf for operation, and determining an operation performance evaluation value of the component by using the operation parameters; and finally, determining an evaluation result of the assembly by using the on-shelf performance evaluation value and the running performance evaluation value. The method can quantitatively evaluate the developed component performance and the component performance after being put on the shelf, and realize the comprehensive evaluation of the component performance, thereby solving the problem of lack of performance evaluation means of the component in the prior art.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
In order to make the above objects, features and advantages of the present invention more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of steps of a method for evaluating performance of a component according to an embodiment of the present invention;
FIG. 2 is a flowchart of step S101 in a method for evaluating performance of a component according to an embodiment of the present invention;
FIG. 3 is a flowchart of step S102 in a method for evaluating component performance according to an embodiment of the present invention;
FIG. 4 is a flowchart of step S302 in a method for evaluating component performance according to an embodiment of the present invention;
FIG. 5 is a flowchart of step S103 in a method for evaluating component performance according to an embodiment of the present invention;
fig. 6 is a flowchart of step S503 in a method for evaluating component performance according to an embodiment of the present invention;
FIG. 7 is a flowchart of determining a second quantization value in a method for evaluating performance of a component according to an embodiment of the present invention;
FIG. 8 is a flowchart of step S104 in a method for evaluating component performance according to an embodiment of the present invention;
FIG. 9 is a schematic structural diagram of an evaluation system for component performance according to an embodiment of the present invention;
fig. 10 is a schematic structural diagram of a server according to an embodiment of the present invention.
Icon:
910-a first evaluation module; 920-a second evaluation module; 930-a third evaluation module; 940-fourth evaluation module;
a 101-processor; 102-memory; 103-bus; 104-communication interface.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described in conjunction with the embodiments, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The component is a standardized software tool which can be repeatedly used in the application development process, is used for packaging data and methods, can realize a specific function, fully utilizes the component, can improve the development efficiency and quality of the application, reduces repeated development, saves investment cost, and has the important performance of the visible component for the performance of the application.
For the components in the prior art, the performance of the components is difficult to effectively quantify in the development process, the quality of the components is difficult to accurately measure, and the components cannot be comprehensively and accurately evaluated; meanwhile, the stability and reliability of the components are difficult to evaluate in the running process of the components, and performance monitoring means after the components are put on shelf are lacked.
In a practical scenario, the lack of performance evaluation means for components can bring about a number of drawbacks. For example: the performance of the component cannot be quantified, the quality of the component is difficult to accurately measure, and the component is difficult to compare with other components; the failure to make a comprehensive and accurate assessment of the components may result in some problems being ignored or not timely found, thereby affecting the stability and reliability of the system; the problems and bottlenecks of the components cannot be known, and the direction and the key point of improvement cannot be determined, so that an effective improvement plan is difficult to formulate; the components cannot be effectively managed and monitored, and reasonable resource allocation and optimization cannot be performed; finally, the quality of the application is difficult to effectively guarantee, and potential hazards or loopholes of the application can be caused to influence the safety and stability of the application.
In summary, the components in the prior art also lack effective performance evaluation means during development and operation. Based on the method, the system and the server for evaluating the component performance are provided, the scheme can quantitatively evaluate the developed component performance and the component performance after being put on the shelf, and the comprehensive evaluation of the component performance is realized, so that the problem of lack of performance evaluation means of the component in the prior art is solved.
For the understanding of this embodiment, first, a detailed description will be given of a method for evaluating performance of a component disclosed in an embodiment of the present invention, as shown in fig. 1, where the method includes:
step S101, acquiring a component to be evaluated, and determining a completion degree parameter of the component; the completion degree parameter is a development state attribute parameter of the component.
The component refers to the package of data and methods by a standardized software tool which can be repeatedly used in the application development process, and can realize a specific function. The components in the embodiment are divided into two modes of a development state and an operation state, and the completion degree parameters correspond to component attribute parameters in the development state, and mainly relate to the functional maturity of the components, the reliability of the components, the applicability of the components, the intelligent rate of the components, the functional introduction condition of the components, the completeness of the component technical documents and the like.
Step S102, determining a maturity result of the component according to the completion degree parameter, and determining an on-shelf performance evaluation value of the component by utilizing the maturity result.
The completion degree parameter corresponds to the development degree of the component, and the completion degree parameter can be used for obtaining the maturity result of the component, wherein the maturity result is an initial result of component evaluation, and whether the component is developed and completed or not and meets the on-shelf condition can be judged. Therefore, the maturity result is utilized to determine the on-shelf performance evaluation value of the component, and in the specific calculation process of the on-shelf performance evaluation value of the component, the development state attribute parameters of the component can be quantized and then weighted and accumulated, so that the specific on-shelf performance evaluation value is obtained.
Step S103, acquiring the operation parameters of the components after the components are put on shelf for operation, and determining the operation performance evaluation value of the components by utilizing the operation parameters.
The components can play the role of the components after being put on the shelf for operation, so that the operation parameters of the components can be obtained in real time after the components are put on the shelf for operation, and the operation performance evaluation value of the components is obtained by utilizing the operation parameters. Specifically, the operation parameters may include parameters corresponding to the health degree, coverage degree, calling degree, and user scoring data of the component, and the operation performance evaluation value of the component is obtained by quantifying and weighting and accumulating the parameters.
Step S104, determining an evaluation result of the component by using the on-shelf performance evaluation value and the running performance evaluation value.
And after the operation performance evaluation value of the component is obtained, the final evaluation result can be obtained by combining the obtained component on-shelf performance evaluation value. In the specific calculation process, corresponding weights can be set to carry out weighted accumulation on the overhead performance evaluation value and the running performance evaluation value, so that the performance evaluation value of the component is finally obtained, and the performance evaluation value is used as an evaluation result of the component.
In one embodiment, the step S101 of obtaining the component to be evaluated and determining the completion parameter of the component, as shown in fig. 2, includes:
step S201, determining development state attribute parameters of the component by using development environment parameters of the component;
step S202, respectively acquiring a function maturity parameter, a component introduction completeness parameter, a technical document completeness parameter, a component intellectualization parameter, a component test result parameter and a component applicability parameter corresponding to a component in a development state attribute parameter;
step S203, determining the function maturity parameter, the component introduction completeness parameter, the technical document completeness parameter, the component intellectualization parameter, the component test result parameter and the component applicability parameter as the completion degree parameter of the component.
Specifically, the function maturity parameter mainly characterizes whether the function of the component is complete, whether the component can normally operate in the system, whether the function of the component can be decoupled from the original system, whether the function is mature and incompatible with the previous version is not frequently adjusted and changed, whether the development of the component has a certain technical difficulty, more demand scenes and the like.
The component introduction completeness parameter mainly characterizes whether component basic information is completely filled, whether component product introduction, charging introduction, successful cases, whether common problems are completely filled, whether the common problems are popular and easy to understand, whether image-text combination is performed, and the like.
The technical document integrity parameters mainly characterize whether a complete programming guide brief exists, whether a programming guide document is provided, whether document content is clear and complete, whether interface description is complete, whether content is clear and understandable and the like.
The intelligent parameters of the component mainly represent that the relevance of the component to the intelligent algorithm model is not high. The component test result parameters mainly relate to component function test reports, whether component pressure test reports are complete, whether pressure test strength reaches an expected target value and whether component safety is guaranteed, the component applicability parameters mainly represent whether component application areas are wide, whether full-province use is supported, various attribute parameters can be configured, operating environments support different operating systems, personalized function secondary packaging and optimization support and other evaluation aspects.
In one embodiment, the step S102 of determining the maturity result of the component according to the completion degree parameter and determining the on-shelf performance evaluation value of the component using the maturity result, as shown in fig. 3, includes:
step S301, acquiring development state attribute parameters contained in the completion degree parameters, and determining a first weight value corresponding to the development state attribute parameters according to the types of the development state attribute parameters;
step S302, determining a first quantized value corresponding to the development state attribute parameter, and calculating to obtain a maturity result of the completion degree parameter by using the first weight value and the first quantized value;
step S303, determining the loading performance evaluation value of the component by using the maturity result of the completion degree parameter.
In a specific scenario, according to a functional maturity parameter, a component introduction completeness parameter, a technical document completeness parameter, a component intellectualization parameter, a component test result parameter and a component applicability parameter included in a development state attribute parameter, corresponding weight values are set respectively, for example: the first weight value of the functional maturity parameter may be set to 40%, the first weight value of the component introduction completeness parameter may be set to 10%, the first weight value of the technical document completeness parameter may be set to 10%, the first weight value of the component intelligence parameter may be set to 10%, the first weight value of the component test result parameter may be set to 10%, and the first weight value of the component applicability parameter may be set to 20%. On the basis, the first quantized values corresponding to the development state attribute parameters are combined, and the first quantized values can be weighted and overlapped by using the first weight values, so that the on-frame performance evaluation value is obtained.
In one embodiment, the step S302 of determining a first quantization value corresponding to the development status attribute parameter and calculating a maturity result of the completion parameter by using the first weight value and the first quantization value, as shown in fig. 4, includes:
step S401, obtaining a plurality of attribute quantization parameters contained in different types of development state attribute parameters, and obtaining a first weight value corresponding to the attribute quantization parameters;
step S402, determining a first quantized value of the development state attribute parameter according to the attribute quantization parameter and a first weight value corresponding to the attribute quantization parameter;
step S403, determining the maturity result by using the first weight value and the first quantized value of the development status attribute parameter.
The first weight sub-value is used for corresponding to different first weight sub-values in different types of development state attribute parameters in the process of acquiring the first quantized value of the development state attribute parameter. Colloquially, the first weight sub-value corresponds to a scoring criteria for the development status attribute parameter. For example, in determining a first quantized value of the functional maturity parameter, the first quantized value may be understood as a score of the functional maturity parameter, which score is determined by a first weight value determined by a corresponding scoring criterion.
In an actual scenario, the development state attribute parameter and the scoring standard of the corresponding first weight value may refer to table 1, which is not described herein.
TABLE 1
In the calculation process of the component loading performance evaluation value, the total score is set to 100 minutes from the multiple angles of component function maturity, component introduction completeness, technical document completeness, intelligent rate degree, component test result reliability degree, component applicability degree, component technical barrier dimension and the like, and the total score is calculated according to the modes of component function maturity 40%, component introduction completeness 10%, technical document completeness 10%, intelligent rate 10%, component test result reliability 10% and component applicability 20% weight. In a practical scenario, each dimension defines a minimum standard, and if the minimum standard is lower than any dimension, the component is not put on shelf. Typically, the dimension minimum criterion is 30% of the total score of the item. The component loading standard will be primarily scored by the operation department when the component submits the loading application, the loading performance evaluation value of the component is obtained according to the mode in the embodiment, and whether the component is loaded or not is comprehensively determined according to the loading performance evaluation value. When the on-shelf performance evaluation value reaches 60% of the total score and each score is not lower than the lowest standard (30% of the single score), the component can be on-line.
In one embodiment, step S103, which obtains the operation parameters of the component after the component is put on shelf and determines the operation performance evaluation value of the component using the operation parameters, includes:
step S501, after the assembly is put on the shelf to run, monitoring the assembly in real time;
step S502, determining call success times, call total times, number of coverage systems, average call times and user scoring data corresponding to the components obtained through real-time detection as operation parameters;
step S503, calculating an operation performance evaluation value of the component by using the operation parameters.
Specifically, the operation parameters of the component mainly represent the operation state of the component, and relate to the aspects of the health degree of the component, the coverage degree of the component, the calling degree of the component, the scoring data of the user and the like. The health degree of the component refers to the successful call times/total call times of the component, and the higher the score of the health degree is, the higher the score of the component is; the component coverage degree aims at the number of component coverage systems, and the more the number of the component coverage systems is applicable, the higher the score is; the component calling degree mainly corresponds to the average number of times of calling the components, and the more the number of times of calling the components is, the higher the score is; the user scoring data provides a score to the user, the higher the score, indicating the more excellent the performance of the component.
In one embodiment, the step S503 of calculating the operation performance evaluation value of the component using the operation parameters, as shown in fig. 6, includes:
step S601, determining the health degree of the component according to the calling success times and the calling total times in the operation parameters;
step S602, respectively determining a second weight value corresponding to the health degree, the number of coverage systems, the average call times of the day and the user scoring data;
step S603, determining a second quantized value corresponding to the health degree, the number of coverage systems, the average daily call times and the user scoring data, and calculating to obtain a running performance evaluation value by using the second quantized value and the second weight value.
The health of the component is determined as the ratio of the number of calls to the total number of calls, the health characterizing the health of the component. The second weight value corresponding to the health degree may be set to 40%, and the second weight value corresponding to the number of coverage systems, the number of average calls per day, and the user scoring data may be set to 20%. In an actual scene, the respective second weight values can be adjusted on the basis of the above, but the sum of all the second weight values of the components is ensured to be 100%. And after the second weight value is determined, the second weight value can be combined with a second quantized value corresponding to the component operation parameter to carry out weighted superposition operation, so that an operation performance evaluation value of the component is obtained.
In one embodiment, the process of determining the second quantized value corresponding to the health degree, the number of coverage systems, the average number of calls per day, and the user scoring data, as shown in fig. 7, includes:
step S701, respectively acquiring operation quantization parameters corresponding to the health degree, the number of coverage systems, the average daily call times and the user scoring data, and acquiring a second weight value corresponding to the operation quantization parameters;
step S702, according to the operation quantization parameter and the corresponding second weight value, respectively obtaining the second quantization value corresponding to the health degree, the number of coverage systems, the average call times of the day and the user scoring data.
Different kinds of second quantized values need to be calculated from their corresponding different second weight sub-values during the acquisition process. Specifically, the second weight sub-value corresponds to a scoring criterion of the operating parameter, for example, the health degree, and is a final score of the health degree, which is determined by the second weight sub-value determined by the corresponding scoring criterion.
In an actual scenario, the operation parameters and the scoring criteria of the corresponding second weight values may refer to table 2, which is not described herein.
TABLE 2
In one embodiment, step S104 of determining the evaluation result of the component using the on-shelf performance evaluation value and the running performance evaluation value, as shown in fig. 8, includes:
Step S801, obtaining a third weight value corresponding to the on-frame performance evaluation value and the running performance evaluation value;
step S802, carrying out weighted calculation on the on-shelf performance evaluation value and the running performance evaluation value by using a third weight value to obtain an evaluation value of the component;
in step S803, the evaluation value of the component is compared with a preset evaluation threshold, and the comparison result is used as the evaluation result of the component.
In a practical scenario, the evaluation result of the component can be executed on a specific date, and if the operation performance evaluation value of the component is lower than 60% of the total score, the component is taken off the shelf; if the running performance evaluation value of the component is higher than 80% of the total score, the component is determined to be an excellent component.
From the evaluation method of the component performance in the above embodiment, the method can quantitatively evaluate the quality of the component, so as to more accurately understand the advantages and disadvantages of the component and the comparison situation with other components. The method can help to find problems and bottlenecks of the components, so that optimization and improvement can be performed in time, and the performance, reliability and safety of the components are improved. Meanwhile, the method can guide the establishment of an improvement plan, and the direction and the key point of improvement are determined according to the evaluation result, so that the quality and the performance of the assembly are improved. The method can also help to manage and monitor the components, discover the changes and problems of the components in time, perform corresponding adjustment and optimization, improve the stability and reliability of the system, reduce the possibility of problems of the system where the components are located by evaluating and optimizing the components, and improve the stability and reliability of the system.
According to the evaluation method of the component performance, which is mentioned in the embodiment, the method can quantitatively evaluate the developed component performance and the component performance after being put on the shelf, so that the comprehensive evaluation of the component performance is realized, and the problem of lack of performance evaluation means in the prior art is solved.
For the method for evaluating the performance of a component provided in the foregoing embodiment, an embodiment of the present invention provides a system for evaluating the performance of a component, as shown in fig. 9, where the system includes:
a first evaluation module 910, configured to obtain a component to be evaluated, and determine a completion parameter of the component; the completion degree parameter is a development state attribute parameter of the component;
the second evaluation module 920 is configured to determine a maturity result of the component according to the completion parameter, and determine an on-shelf performance evaluation value of the component using the maturity result;
a third evaluation module 930, configured to obtain an operation parameter of the component after the component is put on a shelf for operation, and determine an operation performance evaluation value of the component using the operation parameter;
and a fourth evaluation module 940 for determining an evaluation result of the component using the on-shelf performance evaluation value and the running performance evaluation value.
In one embodiment, the first evaluation module 910 is configured to: determining development state attribute parameters of the component by using development environment parameters of the component; respectively acquiring a function maturity parameter, a component introduction completeness parameter, a technical document completeness parameter, a component intellectualization parameter, a component test result parameter and a component applicability parameter corresponding to a component in the development state attribute parameter; and determining the function maturity parameter, the component introduction completeness parameter, the technical document completeness parameter, the component intelligent parameter, the component test result parameter and the component applicability parameter as the completion degree parameter of the component.
In one embodiment, the second evaluation module 920 is configured to: acquiring development state attribute parameters contained in the completion degree parameters, and determining a first weight value corresponding to the development state attribute parameters according to the types of the development state attribute parameters; determining a first quantized value corresponding to the development state attribute parameter, and calculating to obtain a maturity result of the completion degree parameter by using the first weight value and the first quantized value; and determining the loading performance evaluation value of the component by using the maturity result of the completion degree parameter.
In one embodiment, the second evaluation module 920 is further configured to, in determining the first quantization value corresponding to the development status attribute parameter, calculate the maturity result of the completion parameter using the first weight value and the first quantization value: acquiring a plurality of attribute quantization parameters contained in different types of development state attribute parameters, and acquiring a first weight value corresponding to the attribute quantization parameters; determining a first quantized value of the development state attribute parameter according to the attribute quantization parameter and the first weight sub-value corresponding to the attribute quantization parameter; and determining a maturity result by using the first weight value and the first quantized value of the development state attribute parameter.
In one embodiment, the third evaluation module 930 is configured to: when the assembly runs on the shelf, the assembly is monitored in real time; determining call success times, call total times, number of coverage systems, average call times and user scoring data corresponding to the components obtained through real-time detection as operation parameters; and calculating to obtain an operation performance evaluation value of the component by using the operation parameters.
In one embodiment, the third evaluation module 930 is further configured to, in calculating the operational performance evaluation value of the component using the operational parameter: determining the health degree of the component according to the calling success times and the calling total times in the operation parameters; respectively determining a second weight value corresponding to the health degree, the number of coverage systems, the average daily call times and the user scoring data; and determining a second quantized value corresponding to the health degree, the number of coverage systems, the average daily call times and the user scoring data, and calculating by using the second quantized value and the second weight value to obtain the running performance evaluation value.
In one embodiment, the third evaluation module 930 is further configured to, in determining the second quantized value corresponding to the health degree, the number of coverage systems, the average number of calls per day, and the user scoring data: respectively acquiring operation quantization parameters corresponding to the health degree, the number of coverage systems, the average daily call times and the user scoring data, and acquiring a second weight value corresponding to the operation quantization parameters; and respectively acquiring the second quantized values corresponding to the health degree, the number of coverage systems, the average daily call times and the user scoring data according to the operation quantized parameters and the second weight sub-values corresponding to the operation quantized parameters.
In one embodiment, the fourth evaluation module 940 is configured to: acquiring a third weight value corresponding to the on-frame performance evaluation value and the running performance evaluation value; weighting calculation is carried out on the on-shelf performance evaluation value and the running performance evaluation value by using a third weight value, so that an evaluation value of the component is obtained; comparing the evaluation value of the component with a preset evaluation threshold value, and taking the comparison result as the evaluation result of the component.
The evaluation system for the component performance provided by the embodiment of the invention can quantitatively evaluate the developed component performance and the component performance after being put on the shelf, and realize the comprehensive evaluation of the component performance, thereby solving the problem of lack of performance evaluation means in the prior art.
The system for evaluating the performance of a component according to the embodiment of the present invention has the same implementation principle and technical effects as those of the foregoing embodiment of the method for evaluating the performance of a component, and for a brief description, reference may be made to corresponding contents in the foregoing embodiment of the method for the part of the embodiment of the apparatus that is not mentioned.
The embodiment also provides a server, the structural schematic diagram of which is shown in fig. 10, and the device includes a processor 101 and a memory 102; the memory 102 is used to store one or more computer instructions, and the one or more computer instructions are executed by the processor to implement the method for evaluating the performance of the component.
The server shown in fig. 10 further comprises a bus 103 and a communication interface 104, the processor 101, the communication interface 104 and the memory 102 being connected by the bus 103.
The memory 102 may include a high-speed random access memory (RAM, random Access Memory), and may further include a non-volatile memory (non-volatile memory), such as at least one magnetic disk memory. Bus 103 may be an ISA bus, a PCI bus, an EISA bus, or the like. The buses may be classified as address buses, data buses, control buses, etc. For ease of illustration, only one bi-directional arrow is shown in FIG. 10, but not only one bus or type of bus.
The communication interface 104 is configured to connect with at least one user terminal and other network units through a network interface, and send the encapsulated IPv4 message or the IPv4 message to the user terminal through the network interface.
The processor 101 may be an integrated circuit chip with signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in the processor 101 or instructions in the form of software. The processor 101 may be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU for short), a network processor (Network Processor, NP for short), etc.; but also digital signal processors (Digital Signal Processor, DSP for short), application specific integrated circuits (Application Specific Integrated Circuit, ASIC for short), field-programmable gate arrays (Field-Programmable Gate Array, FPGA for short) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. The various methods, steps and logic blocks of the disclosure in the embodiments of the disclosure may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the embodiments of the present disclosure may be embodied directly in hardware, in a decoded processor, or in a combination of hardware and software modules in a decoded processor. The software modules may be located in a random access memory, flash memory, read only memory, programmable read only memory, or electrically erasable programmable memory, registers, etc. as well known in the art. The storage medium is located in the memory 102, and the processor 101 reads information in the memory 102, and in combination with its hardware, performs the steps of the method of the previous embodiment.
The embodiment of the present application also provides a storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method for evaluating the performance of components of the foregoing embodiment.
In the several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. The above-described apparatus embodiments are merely illustrative, for example, the division of the units is merely a logical function division, and there may be other manners of division in actual implementation, and for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some communication interface, indirect coupling or communication connection of devices or units, electrical, mechanical, or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer readable storage medium executable by a processor. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Finally, it should be noted that: the above examples are only specific embodiments of the present invention, and are not intended to limit the scope of the present invention, but it should be understood by those skilled in the art that the present invention is not limited thereto, and that the present invention is described in detail with reference to the foregoing examples: any person skilled in the art may modify or easily conceive of the technical solution described in the foregoing embodiments, or perform equivalent substitution of some of the technical features, while remaining within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention, and are intended to be included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A method of evaluating performance of a component, the method comprising:
acquiring a component to be evaluated, and determining a completion degree parameter of the component; wherein the completion degree parameter is a development state attribute parameter of the component;
determining a maturity result of the component according to the completion degree parameter, and determining an on-shelf performance evaluation value of the component by utilizing the maturity result;
acquiring operation parameters of the assembly after the assembly is put on shelf for operation, and determining an operation performance evaluation value of the assembly by utilizing the operation parameters;
and determining an evaluation result of the component by using the loading performance evaluation value and the running performance evaluation value.
2. The method for evaluating the performance of a component according to claim 1, wherein the step of acquiring the component to be evaluated and determining the completion parameter of the component comprises:
determining development state attribute parameters of the component by utilizing development environment parameters of the component;
respectively acquiring a function maturity parameter, a component introduction completeness parameter, a technical document completeness parameter, a component intellectualization parameter, a component test result parameter and a component applicability parameter corresponding to the component in the development state attribute parameter;
And determining the function maturity parameter, the component introduction completeness parameter, the technical document completeness parameter, the component intellectualization parameter, the component test result parameter and the component applicability parameter as the completion degree parameter of the component.
3. The method of evaluating the performance of a component according to claim 1, wherein the step of determining a maturity result of the component based on the completion parameter and determining an on-shelf performance evaluation value of the component using the maturity result comprises:
acquiring the development state attribute parameters contained in the completion degree parameters, and determining a first weight value corresponding to the development state attribute parameters according to the types of the development state attribute parameters;
determining a first quantized value corresponding to the development state attribute parameter, and calculating to obtain a maturity result of the completion degree parameter by using the first weight value and the first quantized value;
and determining an on-shelf performance evaluation value of the component by using the maturity result of the completion degree parameter.
4. The method for evaluating component performance according to claim 3, wherein the step of determining a first quantization value corresponding to the development status attribute parameter and calculating a maturity result of the completion parameter using the first weight value and the first quantization value comprises:
Acquiring a plurality of attribute quantization parameters contained in different types of development state attribute parameters, and acquiring a first weight value corresponding to the attribute quantization parameters;
determining the first quantized value of the development state attribute parameter according to the attribute quantization parameter and the corresponding first weight value thereof;
determining the maturity results using the first weight value of the development status attribute parameter and the first quantized value thereof.
5. The method for evaluating the performance of a component according to claim 1, wherein the step of acquiring the operation parameters of the component after the component is put on shelf and determining the operation performance evaluation value of the component using the operation parameters comprises:
when the assembly is put on the shelf to run, the assembly is monitored in real time;
determining call success times, total call times, number of coverage systems, average call times and user scoring data corresponding to the components obtained through real-time detection as the operation parameters;
the operation performance evaluation value of the component is calculated using the operation parameter.
6. The method of evaluating the performance of a component according to claim 5, wherein the step of calculating the operational performance evaluation value of the component using the operational parameter includes:
Determining the health degree of the component according to the call success times and the call total times in the operation parameters;
respectively determining the health degree, the number of coverage systems, the average call times and second weight values corresponding to the user scoring data;
and determining a second quantized value corresponding to the health degree, the number of coverage systems, the average call times and the user scoring data, and calculating to obtain the running performance evaluation value by using the second quantized value and the second weight value.
7. The method of component performance assessment according to claim 6, wherein the process of determining the health, the number of overlay systems, the number of average day calls, and the second quantized value corresponding to the user scoring data, comprises:
respectively acquiring the health degree, the number of coverage systems, the average call times and the operation quantization parameters corresponding to the user scoring data, and acquiring a second weight value corresponding to the operation quantization parameters;
and respectively acquiring the health degree, the number of coverage systems, the average daily call times and the second quantized value corresponding to the user scoring data according to the operation quantized parameter and the second weight sub value corresponding to the operation quantized parameter.
8. The method of evaluating the performance of a component according to claim 1, wherein the step of determining the evaluation result of the component using the on-shelf performance evaluation value and the running performance evaluation value includes:
acquiring a third weight value corresponding to the overhead performance evaluation value and the running performance evaluation value;
performing weighted calculation on the loading performance evaluation value and the running performance evaluation value by using the third weight value to obtain an evaluation value of the component;
comparing the evaluation value of the component with a preset evaluation threshold value, and taking the comparison result as the evaluation result of the component.
9. An evaluation system for component performance, the system comprising:
the first evaluation module is used for acquiring the components to be evaluated and determining the completion degree parameters of the components; wherein the completion degree parameter is a development state attribute parameter of the component;
the second evaluation module is used for determining a maturity result of the component according to the completion degree parameter and determining an on-shelf performance evaluation value of the component by utilizing the maturity result;
the third evaluation module is used for acquiring the operation parameters of the assembly after the assembly is put on shelf to operate and determining the operation performance evaluation value of the assembly by utilizing the operation parameters;
And the fourth evaluation module is used for determining an evaluation result of the assembly by using the loading performance evaluation value and the running performance evaluation value.
10. A server, comprising: a processor and a storage device; the storage device has stored thereon computer executable instructions executable by a processor to perform the steps of the method of evaluating component performance of any of the above claims 1 to 8.
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