System quality evaluation method and device, electronic equipment and storage medium

Abstract

The invention provides a system quality evaluation method and device, electronic equipment and a storage medium, and belongs to the technical field of data processing, and the method comprises the steps: obtaining evaluation data, the evaluation data comprises index item data and screening item data, the index item data is data of system evaluation indexes, and the screening item data is data of screening items; the screening item data is screening condition data related to system evaluation index data; based on a preset scene-model corresponding relation, using a model corresponding to the current scene to quantify the evaluation data to obtain evaluation quantified data; based on a preset index-algorithm corresponding relation, calculating the evaluation quantitative data by using an algorithm corresponding to each index to obtain a bottom layer index value; and carrying out weighted aggregation processing on the bottom layer index value based on a preset index weight to obtain a system quality score. According to the scheme, the capability of the information system is evaluated in a rapid adaptation manner for different information systems and different service scenes, the system quality evaluation cost is reduced, and the evaluation efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a system quality assessment method, device, electronic equipment and storage medium. Background Art

[0002] Information System Capability Assessment is a systematic project that aims to comprehensively measure and evaluate the performance, security, availability, maintainability and other aspects of information systems to ensure that information systems can meet business needs and support the strategic goals of the organization. With the in-depth development of informatization, the number of enterprise information systems continues to increase, and the business scenarios of new information systems are becoming more and more complex. This complexity places higher demands on system capability assessment.

[0003] Traditional information system quality assessment requires a similar assessment process such as assessment data collection, assessment data analysis, and assessment data calculation for each information system. The assessment data acquisition method, business usage scenario, and assessment calculation method of each information system are different. Different assessment data collectors, business scenario analysts, assessment calculation personnel, etc. are required to cooperate with each other and jointly invest in the assessment of the information system, which increases the manpower and communication costs of information system assessment, thereby increasing the time cost of information system assessment.

[0004] Therefore, how to improve the efficiency of information system quality assessment and reduce the cost of information system quality assessment has become a technical problem that needs to be solved urgently. Summary of the invention

[0005] The present invention provides a system quality assessment method, device, electronic equipment and storage medium, which are used to solve the problems of high cost and low efficiency of information system capability assessment in the prior art.

[0006] The present invention provides a system quality assessment method, comprising the following steps: Acquire evaluation data, wherein the evaluation data includes indicator item data and filter item data, wherein the indicator item data is data of system evaluation indicators, and the filter item data is filter condition data related to the system evaluation indicator data; Based on the preset scene-model correspondence relationship, the evaluation data is quantified using the model corresponding to the current scene to obtain evaluation quantified data; Based on the preset indicator-algorithm correspondence, the evaluation quantitative data is calculated using the algorithm corresponding to each indicator to obtain the underlying indicator value; The underlying indicator values ​​are weighted and aggregated based on preset indicator weights to obtain a system quality score.

[0007] According to a system quality assessment method provided by the present invention, the model includes a benefit model, and the benefit model is used for scenarios where the larger the assessment data value, the larger the assessment quantitative data, and the function of the benefit model is as follows: ; in, For the evaluation data, is the maximum value in the evaluation data, For the Evaluation quantitative data of evaluation data.

[0008] According to a system quality assessment method provided by the present invention, the model includes a cost model, and the cost model is used for scenarios where the larger the assessment data value, the smaller the assessment quantization data. The function of the cost model is as follows: ; in, For the evaluation data, is the minimum value in the evaluation data, For the Evaluation quantitative data of evaluation data.

[0009] According to a system quality assessment method provided by the present invention, the algorithm is specifically as follows: The underlying indicator value is calculated based on the following formula: ; in, It is The underlying indicator value, It is The number of evaluation quantitative data corresponding to the underlying indicators, It is Quantitative evaluation data, It is with Data associated with the quantitative data for evaluation.

[0010] According to a system quality assessment method provided by the present invention, the algorithm is specifically as follows: The underlying indicator value is calculated based on the following formula: ; in, ; in, It is The underlying indicator value, It is The number of evaluation quantitative data corresponding to the underlying indicators, It is Quantitative evaluation data, It is with Data associated with the quantitative data for evaluation.

[0011] According to a system quality assessment method provided by the present invention, the algorithm is specifically as follows: The underlying indicator value is calculated based on the following formula: ; in, It is The underlying indicator value, It is The number of evaluation quantitative data corresponding to the underlying indicators, It is Quantitative evaluation data, It is with Data associated with the quantitative data for evaluation.

[0012] The present invention also provides a system quality assessment device, comprising the following modules: A data acquisition module is used to: acquire evaluation data, wherein the evaluation data includes indicator item data and filter item data, wherein the indicator item data is data of system evaluation indicators, and the filter item data is filter condition data related to the system evaluation indicator data; A data quantization module is used to: quantify the evaluation data based on a preset scene-model correspondence relationship using a model corresponding to the current scene to obtain evaluation quantization data; The indicator calculation module is used to: calculate the evaluation quantitative data based on the preset indicator-algorithm correspondence using the algorithm corresponding to each indicator to obtain the underlying indicator value; The quality scoring module is used to: perform weighted aggregation processing on the underlying indicator values ​​based on preset indicator weights to obtain a system quality score.

[0013] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, any of the above-mentioned system quality assessment methods is implemented.

[0014] The present invention also provides a non-transitory computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the system quality assessment method as described above is implemented.

[0015] The present invention also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the system quality assessment method as described above is implemented.

[0016] The system quality assessment method, device, electronic device and storage medium provided by the present invention obtain assessment data, wherein the assessment data includes indicator item data and filter item data, wherein the indicator item data is data of system assessment indicators, and the filter item data is filter condition data related to the system assessment indicator data; based on the preset scenario-model correspondence, the assessment data is quantified using the model corresponding to the current scenario to obtain assessment quantification data; based on the preset indicator-algorithm correspondence, the assessment quantification data is calculated using the algorithm corresponding to each indicator to obtain the underlying indicator value; based on the preset indicator weight, the underlying indicator value is weighted and aggregated to obtain the system quality score. This solution uses the model corresponding to the current scenario to quantify the assessment data according to the scenario-model correspondence, and uses the algorithm corresponding to the current scenario to calculate the indicator value according to the indicator-algorithm correspondence, thereby determining the information system capability score, realizing rapid adaptation and information system capability assessment for different information systems and different business scenarios, reducing the cost of information system capability assessment, improving the efficiency of information system capability assessment, and achieving stable assessment results. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 It is one of the flow charts of the system quality assessment method provided by the present invention.

[0019] Figure 2 This is the second flow chart of the system quality assessment method provided by the present invention.

[0020] Figure 3 It is a structural schematic diagram of the system quality assessment device provided by the present invention.

[0021] Figure 4 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0022] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0023] It should be noted that in the description of the embodiments of the present invention, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "include one..." do not exclude the existence of other identical elements in the process, method, article or device including the elements. The orientation or position relationship indicated by the terms "upper", "lower" and the like is based on the orientation or position relationship shown in the drawings, which is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. Unless otherwise clearly specified and limited, the terms "installed", "connected" and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected, or indirectly connected through an intermediate medium, or it can be a connection between two elements. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0024] The terms "first", "second", etc. in this application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first", "second", etc. are generally of one type, and the number of objects is not limited. For example, the first object can be one or more. In addition, "and / or" represents at least one of the connected objects, and the character " / " generally indicates that the objects associated with each other are in an "or" relationship.

[0025] With the in-depth development of informatization, enterprises have more and more information systems, and the business scenarios of new information systems are becoming more and more complex, and the requirements for system capability assessment are becoming higher and higher. Traditional information system capability assessment requires similar assessment processes such as assessment data collection, assessment data analysis, and assessment data calculation for each information system. The assessment data acquisition method, business usage scenario, and assessment calculation method of each information system are different, requiring different assessment data collection personnel, business scenario analysts, assessment calculation personnel, etc. to cooperate with each other and jointly invest in the assessment of the information system, which increases the human cost and communication cost of information system assessment, thereby increasing the time cost of information system assessment.

[0026] In response to the above problems, the present invention provides a system quality assessment method, device, electronic device and storage medium, which can achieve rapid adaptation for different information systems and different business scenarios, and perform assessment information collection, assessment information quantification, indicator system construction and system capability assessment for information system capability assessment, so as to solve the system capability assessment problem in multiple information systems and multiple business scenarios, so as to achieve the effect of cost reduction, quality improvement, high efficiency and stability.

[0027] Combine the following Figure 1-Figure 4 The system quality assessment method, device, electronic device and storage medium provided by the embodiments of the present invention are described.

[0028] Figure 1 It is one of the flow charts of the system quality assessment method provided by the present invention; Figure 2 This is the second flow chart of the system quality assessment method provided by the present invention; like Figure 1-Figure 2 As shown, the method includes the following: S110, obtaining evaluation data, wherein the evaluation data includes indicator item data and filter item data, wherein the indicator item data is data of system evaluation indicators, and the filter item data is filter condition data related to the system evaluation indicator data; S120, based on a preset scene-model correspondence relationship, using a model corresponding to the current scene to quantify the evaluation data to obtain evaluation quantified data; S130, based on the preset indicator-algorithm correspondence relationship, using the algorithm corresponding to each indicator to calculate the evaluation quantitative data to obtain the underlying indicator value; S140, performing weighted aggregation processing on the underlying indicator values ​​based on preset indicator weights to obtain a system quality score.

[0029] It should be noted that the execution subject of the system quality assessment method provided in the embodiment of the present application can be a server, a computer device, such as a tablet computer, a laptop computer, an ultra-mobile personal computer (UMPC), a netbook, etc.

[0030] In S110, evaluation information is collected. Specifically, the collected evaluation data is configured in a mind map manner, and index items and filter items can be collected. The index items are data of system evaluation indicators, and the filter items are filter condition data related to the evaluation indicator data.

[0031] Optionally, data collection can be performed through databases such as Renmin University of China Jincang, DAMO Database, Oracle, and MySQL.

[0032] In S120, the evaluation information is quantified, that is, the collected evaluation data is quantified, so as to facilitate the subsequent evaluation of system quality. Specifically, by presetting the scene-model correspondence relationship, the evaluation data of different scenes are quantified according to the corresponding model to obtain evaluation quantified data.

[0033] In S130, an indicator system is constructed, that is, different algorithms are used to calculate the evaluation quantitative data to obtain the underlying indicator values.

[0034] Optionally, the indicator system has multiple levels. Taking the third-level indicators as an example, the bottom-level indicators, namely the third-level indicators, are obtained by calculating the evaluation quantitative data using different algorithms. The second-level indicators set weights for the third-level indicators based on different scenarios, and the first-level indicators set weights for the second-level indicators based on different scenarios.

[0035] In S140, the system capability is evaluated, that is, according to the three-level evaluation indicator system constructed in S130, regular evaluation is performed according to the set indicator weights, and the comprehensive score of the system is calculated through the weights of each indicator to evaluate the system operation quality and comprehensive capability.

[0036] In an optional embodiment, a system capability assessment result report is generated periodically according to demand, and the periodic assessment result report provides data support for evaluating the comprehensive capability level of the system.

[0037] The system quality assessment method provided by the embodiment of the present invention obtains assessment data, wherein the assessment data includes indicator item data and filter item data, wherein the indicator item data is data of system assessment indicators, and the filter item data is filter condition data related to the system assessment indicator data; based on the preset scenario-model correspondence, the assessment data is quantified using the model corresponding to the current scenario to obtain assessment quantification data; based on the preset indicator-algorithm correspondence, the assessment quantification data is calculated using the algorithm corresponding to each indicator to obtain the underlying indicator value; based on the preset indicator weight, the underlying indicator value is weighted and aggregated to obtain a system quality score. This solution uses the model corresponding to the current scenario to quantify the assessment data according to the scenario-model correspondence, and uses the algorithm corresponding to the current scenario to calculate the indicator value according to the indicator-algorithm correspondence, thereby determining the information system capability score, realizing rapid adaptation and information system capability assessment for different information systems and different business scenarios, reducing the cost of information system capability assessment, improving the efficiency of information system capability assessment, and achieving stable assessment results.

[0038] In an optional embodiment, the model includes a benefit model, and the benefit model is used for scenarios where the larger the evaluation data value, the larger the evaluation quantitative data, and the function of the benefit model is as follows: ; in, For the evaluation data, is the maximum value in the evaluation data, For the Evaluation quantitative data of evaluation data.

[0039] In an optional embodiment, the model includes a cost model, and the cost model is used for scenarios where the larger the evaluation data value, the smaller the evaluation quantitative data. The function of the cost model is as follows: ; in, For the evaluation data, is the minimum value in the evaluation data, For the Evaluation quantitative data of evaluation data.

[0040] In an optional embodiment, the model includes a univariate linear model, which is used to evaluate a scenario in which the quantitative data changes linearly with the numerical value of the evaluation data, and the function of the univariate linear model is as follows: ; in, For the Quantitative data for evaluation of evaluation data, is the coefficient, is a constant, For the evaluation data.

[0041] In an optional embodiment, the model includes a qualitative quantitative model, and the qualitative quantitative model is used in a qualitative indicator data scenario. Specifically, each qualitative indicator has a fixed quantitative score, that is, evaluation quantitative data.

[0042] In an optional embodiment, the model includes a one-dimensional quadratic model, and the one-dimensional quadratic model is used to evaluate the scenario in which the quantitative data changes as a quadratic function of the evaluation data value, and the function of the one-dimensional quadratic model is as follows: ; in, For the Quantitative data for evaluation of evaluation data, is the coefficient of the quadratic term, is the coefficient of the first-order term, is a constant, For the evaluation data.

[0043] In an optional embodiment, the model includes an interval quantization model, which is used to evaluate the scenario in which the quantitative data changes with the phased changes in the numerical value of the evaluation data. Specifically, by setting different quantization intervals, a quantitative score (evaluation quantitative data) is set for each interval, or for each interval, a corresponding model is used for quantification, which may include but is not limited to using a benefit model, a cost model, a univariate linear model, a qualitative quantitative model, and a univariate quadratic model to quantify the interval evaluation data.

[0044] In an optional embodiment, the algorithm is specifically as follows: The underlying indicator value is calculated based on the following formula: ; in, It is The underlying indicator value, It is The number of evaluation quantitative data corresponding to the underlying indicators, It is Quantitative evaluation data, is a constant term.

[0045] Here, each evaluation quantitative data is calculated by setting a constant term, and the average of all calculation results is taken as the indicator calculation result.

[0046] In an optional embodiment, the algorithm is specifically as follows: Take the average value of the existing third-level indicators that are dependent, analyze and set the third-level indicators that are dependent, and take the average value of the calculation results of all the third-level indicators that are dependent as the indicator calculation result.

[0047] In an optional embodiment, the algorithm is specifically as follows: The average value of data A, where A represents the evaluation quantitative data, and the average value of all evaluation quantitative data is calculated as the indicator calculation result.

[0048] In an optional embodiment, the algorithm is specifically as follows: The underlying indicator value is calculated based on the following formula: ; in, It is The underlying indicator value, It is The number of evaluation quantitative data corresponding to the underlying indicators, It is Quantitative evaluation data, It is with Data associated with the quantitative data for evaluation.

[0049] In an optional embodiment, the algorithm is specifically as follows: The underlying indicator value is calculated based on the following formula: ; in, ; in, It is The underlying indicator value, It is The number of evaluation quantitative data corresponding to the underlying indicators, It is Quantitative evaluation data, It is with Data associated with the quantitative data for evaluation.

[0050] Here, Quantify the data for each assessment, is data associated with the assessment data, and and One-to-one correspondence, through Calculate each evaluation quantitative data and take the average of all calculation results as the indicator calculation result.

[0051] In an optional embodiment, the algorithm is specifically as follows: The ratio of the number of evaluation quantitative data to the constant term is used as the indicator calculation result, that is: ; in, It is The underlying indicator value, It is The number of evaluation quantitative data corresponding to the underlying indicators, is a constant term.

[0052] In an optional embodiment, the algorithm is specifically as follows: ; in, It is The underlying indicator value, It is The number of evaluation quantitative data corresponding to the underlying indicators, It is Quantitative evaluation data, It is with Data associated with the quantitative data for evaluation.

[0053] Here, Quantify the data for each assessment, is data associated with the assessment data, and and One-to-one correspondence, through Calculate each evaluation quantitative data and take the average of all calculation results as the indicator calculation result.

[0054] The following is a description of a system quality assessment device provided in an embodiment of the present application. The system quality assessment device described below and the system quality assessment method described above can be referenced to each other.

[0055] Figure 3 is a schematic diagram of the structure of the system quality assessment device provided by the present invention, such as Figure 3 As shown, the system quality assessment device may include but is not limited to; The data acquisition module 310 is used to: acquire evaluation data, wherein the evaluation data includes indicator item data and filter item data, wherein the indicator item data is data of system evaluation indicators, and the filter item data is filter condition data related to the system evaluation indicator data; The data quantization module 320 is used to: quantize the evaluation data based on the preset scene-model correspondence relationship using the model corresponding to the current scene to obtain evaluation quantization data; The indicator calculation module 330 is used to: calculate the evaluation quantitative data based on the preset indicator-algorithm correspondence relationship using the algorithm corresponding to each indicator to obtain the underlying indicator value; The quality scoring module 340 is used to perform weighted aggregation processing on the underlying indicator values ​​based on preset indicator weights to obtain a system quality score.

[0056] The system quality assessment device provided by the embodiment of the present invention obtains assessment data, wherein the assessment data includes indicator item data and filter item data, wherein the indicator item data is data of system assessment indicators, and the filter item data is filter condition data related to the system assessment indicator data; based on the preset scenario-model correspondence, the assessment data is quantified using the model corresponding to the current scenario to obtain assessment quantification data; based on the preset indicator-algorithm correspondence, the assessment quantification data is calculated using the algorithm corresponding to each indicator to obtain the underlying indicator value; based on the preset indicator weight, the underlying indicator value is weighted and aggregated to obtain a system quality score. This solution uses the model corresponding to the current scenario to quantify the assessment data according to the scenario-model correspondence, and uses the algorithm corresponding to the current scenario to calculate the indicator value according to the indicator-algorithm correspondence, thereby determining the information system capability score, realizing rapid adaptation and information system capability assessment for different information systems and different business scenarios, reducing the cost of information system capability assessment, improving the efficiency of information system capability assessment, and achieving stable assessment results.

[0057] It should be noted that the system quality assessment device provided in the embodiment of the present invention can execute the system quality assessment method described in any of the above embodiments during specific operation, which will not be described in detail in this embodiment.

[0058] Figure 4 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 4 As shown, the electronic device may include: a processor 410, a communication interface 420, a memory 430 and a communication bus 440, wherein the processor 410, the communication interface 420 and the memory 430 communicate with each other through the communication bus 440. The processor 410 may call the logic instructions in the memory 430 to execute the system quality evaluation method, which includes: obtaining evaluation data, wherein the evaluation data includes indicator item data and filter item data, wherein the indicator item data is the data of the system evaluation indicator, and the filter item data is the filter condition data related to the system evaluation indicator data; based on the preset scene-model correspondence relationship, the evaluation data is quantified using the model corresponding to the current scene to obtain evaluation quantified data; based on the preset indicator-algorithm correspondence relationship, the evaluation quantified data is calculated using the algorithm corresponding to each indicator to obtain the underlying indicator value; based on the preset indicator weight, the underlying indicator value is weighted and aggregated to obtain the system quality score.

[0059] In addition, the logic instructions in the above-mentioned memory 430 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0060] On the other hand, the present invention also provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the system quality assessment method provided by the above methods, and the method includes: obtaining assessment data, the assessment data includes indicator item data and filter item data, the indicator item data is the data of the system assessment indicator, and the filter item data is the filter condition data related to the system assessment indicator data; based on a preset scene-model correspondence relationship, the assessment data is quantified using the model corresponding to the current scene to obtain assessment quantified data; based on a preset indicator-algorithm correspondence relationship, the assessment quantified data is calculated using the algorithm corresponding to each indicator to obtain the underlying indicator value; based on a preset indicator weight, the underlying indicator value is weighted and aggregated to obtain a system quality score.

[0061] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the system quality assessment method provided by the above-mentioned methods, the method comprising: obtaining assessment data, the assessment data comprising indicator item data and filter item data, the indicator item data being data of system assessment indicators, and the filter item data being filter condition data related to the system assessment indicator data; based on a preset scene-model correspondence, using a model corresponding to the current scene to quantify the assessment data to obtain assessment quantified data; based on a preset indicator-algorithm correspondence, using an algorithm corresponding to each indicator to calculate the assessment quantified data to obtain an underlying indicator value; and performing weighted aggregation processing on the underlying indicator value based on preset indicator weights to obtain a system quality score.

[0062] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0063] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0064] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A system quality assessment method, characterized in that: include: Acquire evaluation data, wherein the evaluation data includes indicator item data and filter item data, wherein the indicator item data is data of system evaluation indicators, and the filter item data is filter condition data related to the system evaluation indicator data; Based on the preset scene-model correspondence relationship, the evaluation data is quantified using the model corresponding to the current scene to obtain evaluation quantified data; Based on the preset indicator-algorithm correspondence, the evaluation quantitative data is calculated using the algorithm corresponding to each indicator to obtain the underlying indicator value; The underlying indicator values ​​are weighted and aggregated based on preset indicator weights to obtain a system quality score.

2. The system quality assessment method according to claim 1, characterized in that: The model includes a benefit model, which is used for scenarios where the larger the evaluation data value, the larger the evaluation quantitative data. The function of the benefit model is as follows: ； in, For the evaluation data, is the maximum value in the evaluation data, For the Evaluation quantitative data of evaluation data.

3. The system quality assessment method according to claim 1, characterized in that: The model includes a cost model, which is used for scenarios where the larger the evaluation data value, the smaller the evaluation quantitative data. The function of the cost model is as follows: ； in, For the evaluation data, is the minimum value in the evaluation data, For the Evaluation quantitative data of evaluation data.

4. The system quality assessment method according to claim 1, characterized in that: The algorithm is as follows: The underlying indicator value is calculated based on the following formula: ； in, It is The underlying indicator value, It is The number of evaluation quantitative data corresponding to the underlying indicators, It is Quantitative evaluation data, It is with Data associated with the quantitative data for evaluation.

5. The system quality assessment method according to claim 1, characterized in that: The algorithm is as follows: The underlying indicator value is calculated based on the following formula: ； in, ; in, It is The underlying indicator value, It is The number of evaluation quantitative data corresponding to the underlying indicators, It is Quantitative evaluation data, It is with Data associated with the quantitative data for evaluation.

6. The system quality assessment method according to claim 1, characterized in that: The algorithm is as follows: The underlying indicator value is calculated based on the following formula: ； in, It is The underlying indicator value, It is The number of evaluation quantitative data corresponding to the underlying indicators, It is Quantitative evaluation data, It is with Data associated with the quantitative data for evaluation.

7. A system quality assessment device, characterized in that: include: A data acquisition module is used to: acquire evaluation data, wherein the evaluation data includes indicator item data and filter item data, wherein the indicator item data is data of system evaluation indicators, and the filter item data is filter condition data related to the system evaluation indicator data; A data quantization module is used to: quantify the evaluation data based on a preset scene-model correspondence relationship using a model corresponding to the current scene to obtain evaluation quantization data; The indicator calculation module is used to: calculate the evaluation quantitative data based on the preset indicator-algorithm correspondence using the algorithm corresponding to each indicator to obtain the underlying indicator value; The quality scoring module is used to: perform weighted aggregation processing on the underlying indicator values ​​based on preset indicator weights to obtain a system quality score.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the system quality assessment method according to any one of claims 1 to 6 is implemented.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the system quality assessment method according to any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the system quality assessment method according to any one of claims 1 to 6 is implemented.

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