CN117785250A

CN117785250A - System change quality control method, device, computer equipment and storage medium

Info

Publication number: CN117785250A
Application number: CN202311692648.5A
Authority: CN
Inventors: 黄睿; 阳骁尧; 邹为; 陈果; 周芙蓉
Original assignee: China Construction Bank Corp; CCB Finetech Co Ltd
Current assignee: China Construction Bank Corp; CCB Finetech Co Ltd
Priority date: 2023-12-11
Filing date: 2023-12-11
Publication date: 2024-03-29

Abstract

The disclosure relates to the technical field of big data, and particularly discloses a quality control method, a quality control device, computer equipment, a storage medium and a computer program product for system change. The method comprises the following steps: responding to a change instruction aiming at a system, and acquiring system identification information and system version information to be started carried by the change instruction; determining a system data storage area corresponding to the system identification information; acquiring system data to be started under the condition that the version information of the system data storage area is consistent with the version information of the system to be started; performing system change analysis based on the system data to be started, and determining a system change type of the system; determining a quality control strategy of the system in the changing process based on the system changing type and the security level of the system; and controlling the quality of the change process of the system according to the quality control strategy. By adopting the method, the error rate of the quality control strategy determination can be effectively reduced, and the quality control strategy determination efficiency is improved.

Description

System change quality control method, device, computer equipment and storage medium

Technical Field

The present invention relates to the field of big data technologies, and in particular, to a system changing quality control method, a system changing quality control device, a computer device, a storage medium, and a computer program product.

Background

With advances in technology and ever changing customer needs, financial enterprises are continually in need of updating and improving their business systems. When the system is changed, quality control is required to be researched and developed for the changed system, functional test, nonfunctional test, safety test and the like are performed for the changed system, and different system changing flows correspond to different quality control strategies, and the selection of the quality control strategies influences the changing cost, accuracy and safety of the system change.

In the prior art, when a system is changed, a research and development team usually declares the system by itself, a technical committee is formed by experts and senior citizens, and the system change flow type is judged by manually evaluating according to experience and cognition of people, so that a corresponding quality control strategy is determined. However, the method for manually evaluating the quality control strategy has low efficiency and high error rate, and when the type of the system change flow cannot be evaluated accurately by manpower, the standard change flow is selected by default, so that the quality control cost is increased, and therefore, the problems of low efficiency, high error rate and high cost exist in the determination of the quality control strategy during the system change in the prior art.

Disclosure of Invention

In view of the foregoing, it is desirable to provide a quality control method, apparatus, computer device, computer readable storage medium, and computer program product that can effectively reduce the error rate of quality control policy determination and improve the system modification of quality control policy determination efficiency.

In a first aspect, the present application provides a method for controlling quality of a system change, the method comprising:

responding to a change instruction aiming at a system, and acquiring system identification information and system version information to be started carried by the change instruction;

determining a system data storage area corresponding to the system identification information;

acquiring the system data to be started under the condition that the system data storage area has the system data to be started, and the version information of the system data storage area is consistent with the version information of the system to be started;

performing system change analysis based on the system data to be started, and determining a system change type of the system;

determining a quality control strategy of the system in the changing process based on the system changing type and the security level of the system;

and controlling the quality of the change process of the system according to the quality control strategy.

In a second aspect, the present application further provides a quality control device for system modification, the device including:

The instruction response module is used for responding to a change instruction aiming at a system and acquiring system identification information and system version information to be started carried by the change instruction;

the storage area determining module is used for determining a system data storage area corresponding to the system identification information;

the data acquisition module is used for acquiring the system data to be started under the condition that the version information of the system data storage area is identical to the system data to be started;

the change type determining module is used for carrying out system change analysis based on the system data to be started and determining the system change type of the system;

the quality control strategy determining module is used for determining the quality control strategy of the system in the changing process based on the system changing type and the safety level of the system;

and the quality control module is used for controlling the quality of the change process of the system according to the quality control strategy.

In a third aspect, the present application also provides a computer device comprising a memory storing a computer program and a processor implementing the steps of the above method when the processor executes the computer program.

In a fourth aspect, the present application also provides a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of the above-described method.

In a fifth aspect, the present application also provides a computer program product comprising a computer program which, when executed by a processor, implements the steps of the method described above.

According to the quality control method, the device, the computer equipment, the storage medium and the computer program product for system change, when the system needs to be subjected to system change, the system identification information and the system version information to be started carried by the change instruction are obtained in response to the change instruction of the system, the system data storage area corresponding to the system identification information is determined, under the condition that the system data storage area has the system data to be started, the version information of which is consistent with the version information of the system to be started, the system data to be started is described to be imported into the local storage area, the system data to be started is obtained, the system change type is automatically and accurately classified through the system change analysis to be started, the system change type of the system is accurately determined, the system safety level of the system is combined, the quality control strategy of the system in the change process is accurately determined, the increase of the system change cost caused by excessive quality control is effectively avoided, or the condition that the system change is used at risk is caused by insufficient quality control is generated, the whole quality control strategy determination process does not need to be manually participated, the error rate of quality control strategy determination is further reduced, and the quality control strategy determination efficiency is improved. And the quality control is carried out on the change process of the system according to the precisely determined quality control strategy, so that the change efficiency of the system change can be effectively improved, and the change cost is reduced.

Drawings

FIG. 1 is a diagram of an application environment of a quality control method for system modification in one embodiment;

FIG. 2 is a flow chart of a quality control method of system modification in one embodiment;

FIG. 3 is a flow chart of a quality control method of a system modification in another embodiment;

FIG. 4 is a flow diagram of the steps for determining a system change type for a system based on change portion data, in one embodiment;

FIG. 5 is a flowchart of a feature extraction step performed on the modified portion data based on a feature extraction manner corresponding to a modification type of the preset data in an embodiment;

FIG. 6 is a flow diagram of a system change classification model training process in one embodiment;

FIG. 7 is a flowchart illustrating steps of determining a quality control policy for a system change based on a system change type and a security level of the system in one embodiment;

FIG. 8 is a flow chart of a quality control method of a system modification in another embodiment;

FIG. 9 is a block diagram illustrating a system-modified quality control apparatus according to an embodiment;

fig. 10 is an internal structural view of a computer device in one embodiment.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.

It should be noted that, user information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, presented data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party.

The quality control method for system change provided by the embodiment of the application can be applied to an application environment shown in fig. 1. Wherein the system change platform 102 communicates with the server 104. The data storage system may store data that the system change platform 102 needs to process. The data storage system may be integrated on the system change platform 102 or may be located on a cloud or other network server. The system change platform 102 responds to a change instruction aiming at a system, acquires system identification information and system version information to be started carried by the change instruction, determines a system data storage area corresponding to the system identification information, acquires the system data to be started under the condition that the system data storage area has the system data to be started, carries out system change analysis based on the system data to be started, determines a system change type of the system, determines a quality control strategy of the system in the change process based on the system change type and the security level of the system, and carries out quality control on the change process of the system according to the quality control strategy. The system change platform 102 may be integrated on a terminal or a server, and the server may be implemented by a stand-alone server or a server cluster formed by a plurality of servers. The terminal can be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, internet of things equipment and portable wearable equipment, and the internet of things equipment can be smart speakers, smart televisions, smart air conditioners, smart vehicle-mounted equipment and the like. The portable wearable device may be a smart watch, smart bracelet, headset, or the like. The server 104 may be implemented as a stand-alone server or as a server cluster of multiple servers.

In one embodiment, as shown in fig. 2, a quality control method for system modification is provided, and the method is applied to the system modification platform 102 in fig. 1 for illustration, and includes the following steps:

s202, acquiring system identification information and system version information to be started carried by a change instruction in response to the change instruction aiming at the system.

The change instruction of the system is an instruction for instructing to update, upgrade or construct the system. It can be appreciated that the system change instruction can be generated by the user terminal triggering when the system needs to be changed. The update period can be preset for the system in the system change platform, and the change instruction for the system can be triggered periodically and automatically.

The system identification information is information for marking the system to be changed, and may be a system name, a system number, or the like, as long as it is ensured that the system identification information is unique.

The system version information to be started is information for representing system data corresponding to the system to be started, and it can be understood that the system to be changed, namely the current system version corresponding to the current system, corresponds to the system to be started after the system to be started is changed, and is lower than the system version to be started.

Specifically, the system changing platform responds to a changing instruction aiming at the system, acquires system identification information carried by the changing instruction, and enables version information of the system when the system is changed.

S204, determining a system data storage area corresponding to the system identification information.

The system data storage areas are storage areas which are allocated to the systems in advance, a developer can divide the storage space into a plurality of system data storage areas in advance, and divide the corresponding system data storage areas for each system, and the system data of the same system are stored in the same system data storage area. And meanwhile, the storage path of the system data storage area is bound with the system identification information of the corresponding system, so that the data storage area of the corresponding system can be conveniently determined according to the system identification information.

Specifically, the system change platform searches the corresponding relation between the identification information and the storage path according to the acquired system identification information, determines the storage path corresponding to the system identification information, and further determines a system data storage area corresponding to the system identification information.

S206, acquiring the system data to be started under the condition that the version information of the system data storage area is identical to the version information of the system to be started.

Wherein the system data to be enabled is data required for the system to make changes, such as source code data required for the system to operate. The system data to be started can be generated by system research personnel according to the actual development requirement of the system, and the system change platform can realize the change operation of the system by acquiring the system data to be started. It will be appreciated that in some embodiments, the change instruction may carry system data to be enabled, and the system change platform may directly obtain the system data to be enabled carried by the change instruction from the change instruction. In other embodiments, the change instruction may carry identification information of the system data or the system to be started, and the system change platform may acquire corresponding system data to be started according to the identification information of the system data or the system to be started.

Specifically, the system changing platform matches the acquired version information of the system to be started with the version information of each system data in the system data storage area, and when the system data with the version information consistent with the version information of the system to be started is stored in the system data storage area, the system data is determined to be the system data to be started, and the system data to be started is acquired. The system data to be started can be quickly acquired in the accurate system data storage area through the system identification information and the system version information to be started, and the system change efficiency is effectively improved.

S208, performing system change analysis based on the system data to be started, and determining the system change type of the system.

The system change analysis is an analysis operation for determining a system change type of the system, and because the system data to be started is data required when the system is changed, the system data to be started can reflect the content of the system change, and the system change type of the system can be accurately determined by performing the system change analysis on the system data to be started.

The system change type is a type parameter obtained by classifying various change operations in the system change according to a preset classification rule, the system change type is different, and the quality control strategies of the system in the change process can be different. It can be appreciated that the specific type and number of system change types can be determined according to the actual change mode of the system, for example, for a system in which the changes mainly generated are the changes of the page function and the system configuration, the system change types of the system can be divided into the page change and the configuration change; the system whose mainly generated change is a program modification or an update of a management function can be classified into a program change, a management function change, and the like.

Specifically, after the system change platform obtains the system data to be started, system change analysis can be performed based on the obtained system data to be started, and the system change type of the system can be determined according to the actual change content of the system.

S210, determining a quality control strategy of the system in the changing process based on the system changing type and the security level of the system.

The security level of the system is a parameter for indicating the importance degree of the system on the information security level, the information security can comprise business information security and service information security, the security level of the system can be divided by a system developer or manager in advance according to a preset standard for dividing the security level, and the security level of the system can be divided by a system changing platform in real time according to a standard mode for dividing the security level.

The quality control strategy of the system in the changing process refers to a strategy for testing and evaluating the changed system, such as safety testing and evaluating, performance testing and evaluating, and the like, of the changed system. The system change type and the security level of the system are different, the corresponding system change process is different, and the quality control strategy for controlling the quality of the system change process is natural and may be different. For example, when the security level of the system is low and the system change type is a type related to substantial function change, the corresponding quality control policy may be a policy for performing function test and evaluation only on the system change process; when the security level of the system is higher, the system change type is a type related to the change of the essential function and the change of the non-essential function, and the corresponding quality control strategy can be a strategy for comprehensively testing and evaluating the functions, non-functions, security and the like of the system change process.

Specifically, after the system change platform determines the system change type, the quality control strategy matched with the system change type and the security level in the changing process of the system is determined according to the security level and the system change type of the system.

S212, quality control is carried out on the changing process of the system according to the quality control strategy.

Specifically, the system change platform performs quality control on the change process of the system according to a quality control strategy matched with the change type and the security level of the system, so as to perform system test and evaluation on the system to be started.

In the quality control method for system change, when the system needs to be changed, the system identification information and the system version information to be started carried by the change instruction are obtained in response to the change instruction of the system, the system data storage area corresponding to the system identification information is determined, and under the condition that the system data to be started, the version information of which is consistent with the system version information to be started, exists in the system data storage area, the fact that the system data to be started is imported into the local storage area is explained, the system data to be started is obtained, the system change type can be automatically and accurately classified through system change analysis to be started, the system change type of the system is accurately determined, the system safety level of the system is combined, the quality control strategy of the system in the changing process is accurately determined, the situation that the system change cost is increased due to excessive quality control or the system change using risk is caused due to insufficient quality control is effectively avoided, the whole quality control strategy determining process does not need to be involved manually, the error rate of quality control strategy determining is further reduced, and the quality control strategy determining efficiency is improved. And the quality control is carried out on the change process of the system according to the precisely determined quality control strategy, so that the change efficiency of the system change can be effectively improved, and the change cost is reduced.

Further, in one embodiment, as shown in fig. 3, the quality control method of the system modification further includes:

s302, when the system data storage area does not have the system data to be started, the version information of which is consistent with the version information of the system to be started, and after waiting for a preset time period, determining whether the system data storage area has the system data to be started, the version information of which is consistent with the version information of the system to be started, or not.

The preset duration is a waiting duration determined by a designer according to the reaction speed of the system in advance.

Specifically, the system change platform, under the condition that it is determined that no to-be-enabled system data with version information consistent with to-be-enabled version information exists in the system data storage area, indicates that necessary data for performing system change on the current system does not exist in the current system data storage area possibly due to information transmission delay or faults and the like. And after waiting for the preset time period, the system changing platform re-executes the step of determining whether the system data storage area has the system data to be started, wherein the version information of the system data storage area is consistent with the version information of the system to be started.

S304, if the system data to be started, of which the version information is consistent with the system version information to be started, does not exist after waiting for the preset time, prompting information is generated.

Specifically, if the to-be-enabled system data with the version information consistent with the to-be-enabled system version information does not exist after waiting for the preset time, the fact that the to-be-enabled system data receiving delay is not caused by the information transmission delay, but the to-be-enabled system data is lost possibly caused by system faults or other external factors is indicated, and the system changing platform generates prompt information.

S306, sending prompt information to a preset management terminal, wherein the prompt information is used for prompting that system data to be started do not exist.

The management terminal is terminal equipment used by a manager, and the manager can know the current system change condition in time by sending the prompt information to the preset management terminal, so that the system change fault caused by untimely information knowledge is avoided.

Specifically, after the system changing platform produces the prompt information, the prompt information is sent to a preset management terminal, and the prompt information is used for prompting a manager that the current storage area does not have system data to be started.

The determination of the system change type is a key step in determining the quality control policy, and a specific implementation of the system change type will be illustrated below.

In one embodiment, performing system change analysis based on system data to be enabled, determining a system change type for a system includes: and based on a preset data comparison mode, comparing the data of the system to be started with the current system data, and determining the changed part data of the system. And determining the system change type of the system according to the change part data.

The data comparison mode is a comparison mode for determining distinguishing data between the data to be enabled and the current system data, and can be determined according to the data types of the data to be enabled and the current system data, for example, when the data to be enabled is a source code of the system to be enabled and the current system data is a source code of the current system to be used, the data comparison mode can be any source code comparison tool or any source code comparison command.

The change part data of the system refers to system data which is actually changed in the system data to be started compared with the current system data, and it can be understood that the change part data can be part data in the system data to be started, for example, when the page of the system is changed, the change part data can be page program data in the system data to be started. The change part data may also be the whole system data to be started, for example, when a new system construction is performed or the system architecture is significantly adjusted, the system data to be started may be considered as newly created system data, and the change part data is the whole system data to be started.

Specifically, after the system change platform obtains the system data to be started, the current system data of the current use system can be obtained, and based on a preset data comparison mode, the system data to be started and the current system data are subjected to data comparison, the change part data which is different from the system data to be started are determined, the change part data can reflect the actual change content of the system, the system change platform can determine the change type of the system according to the change part data, a basis is provided for accurately determining the quality control strategy of the system in the change process, the quality control strategy determination efficiency and accuracy are improved, the change efficiency of the system change is effectively improved, and the change cost is reduced.

Further, in one embodiment, as shown in fig. 4, determining a system change type of the system according to the change portion data includes:

s402, carrying out feature extraction on the change part data based on a feature extraction mode corresponding to the preset data change type to obtain change feature data of the change part data.

The preset data change type refers to a change type corresponding to change part data, in order to accurately extract characteristics of the change part data, and further determine a system change type corresponding to a system according to the extracted change characteristic data, a developer performs type division on the change part data which possibly occurs under different system change types in advance, so as to obtain a data change type corresponding to the change part data, and then configures a corresponding characteristic extraction mode for each data change type according to the data characteristics of the change part data corresponding to the data change type, so that the change part data under the preset data change type can be accurately extracted by the corresponding characteristic extraction mode. It will be appreciated that the specific type and number of preset data change types is related to the type of system change that the system actually contains.

Specifically, after the system change platform acquires the change part data, the system change platform performs feature extraction on the change part data according to a feature extraction mode corresponding to the preset data change type to obtain change feature data of the change part data. It can be understood that when the system change platform is divided into a plurality of preset data change types, feature extraction is performed on the change part data according to feature extraction modes corresponding to the preset data change types, so as to obtain change feature data of the whole change part data.

For example, when the preset data change type includes a page change and an entity type change, feature extraction is performed on the change part data according to a feature extraction mode corresponding to the page change to obtain page change feature data, feature extraction is performed on the change part data according to a feature extraction mode corresponding to the entity type change to obtain entity type change feature data, and then the page change feature data and the entity type change feature data are determined to be change feature data of the whole change part data.

In one embodiment, the preset data change type may include at least one of a full code change, a main program logic change, an interface or virtual type change, an entity type change, a page change, and a system configuration change.

The full code change refers to changing part of data into the change type of the whole system data to be started. When the system data to be started has more distinguishing data with the current system data or the system data to be started is brand new system data, the preset data change type corresponding to the changed part data can be determined to be full-code change.

The main program logic change refers to changing part of data into a change type of system data corresponding to main program operation logic of the system. When the difference between the system data to be enabled and the current system data includes the main program logic difference, it may be determined that the preset data change type corresponding to the change portion data includes the main program logic change.

The interface or virtual type change refers to a change type of changing part of data into system data corresponding to the number or configuration method of the system interfaces or virtual types. When the difference between the system data to be enabled and the current system data includes the difference related to the number and/or configuration method of interfaces or virtual classes, it may be determined that the preset data change type corresponding to the variable part data includes the interface or virtual class change.

The entity class change refers to changing part of data into system entity class number or changing type of system data corresponding to the configuration method. When the difference between the system data to be enabled and the current system data includes the difference related to the number of entity classes and/or the configuration method, it may be determined that the preset data change type corresponding to the change part data includes an entity class change.

The page change refers to changing part of data into a system page element, a format and other corresponding system data change types. When the difference between the system data to be enabled and the current system data includes a relevant difference of page format, element and the like, it may be determined that the preset data change type corresponding to the change part data includes a page change.

The system configuration change refers to changing part of data into a change type of system data corresponding to a system configuration file. When the difference between the system data to be enabled and the current system data includes a related difference such as a system configuration file, a configuration item, etc., it may be determined that the preset data change type corresponding to the change portion data includes a system configuration change.

It can be understood that the same data of the modification part can simultaneously comprise multiple or all preset data modification types, and the universality of the system modification platform can be effectively improved by pre-configuring the multiple preset data modification types and the feature extraction modes corresponding to the preset data modification types on the system modification platform.

S404, searching a preset corresponding relation between the feature data and the system change type according to the change feature data, and determining the system change type corresponding to the change feature data.

Specifically, after obtaining the change feature data of the change part data, the system change platform calls a preset corresponding relation between the feature data and the system change type, searches the preset corresponding relation according to the change feature data, and determines the system change type corresponding to the feature data consistent with the change feature data as the system change type corresponding to the change feature data. The preset corresponding relation between the characteristic data and the system change type is determined and generated by a developer in advance according to the corresponding relation between the historical change characteristic data and the system change type.

S406, determining the system change type as the system change type of the system.

Specifically, the system change platform determines the system change type corresponding to the change feature data as the system change type of the system. By determining the change characteristic data of the change part data and then determining the system change type corresponding to the change characteristic data as the system change type of the system by using the preset corresponding relation, the determination efficiency and accuracy of the system change type can be effectively improved, and the determination efficiency and accuracy of the quality control strategy are further improved.

In addition to determining a system change type of the system using a preset correspondence, in another embodiment, determining a system change type of the system from the change portion data includes:

And carrying out feature extraction on the change part data based on a feature extraction mode corresponding to the preset data change type to obtain change feature data of the change part data. And inputting the change characteristic data into a system change classification model to perform classification processing, so as to obtain the system change type of the system.

The system change classification model is a classification model trained according to historical change feature data corresponding to each system change type, and can classify the input change feature data and output the system change type corresponding to the change feature data, namely the system change type of the system.

Specifically, after the system change platform acquires the change part data, the system change platform performs feature extraction on the change part data according to a feature extraction mode corresponding to the preset data change type to obtain change feature data of the change part data. And inputting the extracted change feature data into a system change classification model, classifying the change feature data through the system change classification model, outputting a system change type corresponding to the change feature data, and determining the system change type corresponding to the change feature data as the system change type of the system.

By configuring the system change classification model obtained through training according to the historical change feature data on the system change platform, the system change classification model can be called to quickly classify the change feature data after the change feature data is obtained, so that the system change type of the system is obtained, the determination efficiency and accuracy of the system change type are effectively improved, and the determination efficiency and accuracy of the quality control strategy are further improved.

Further, in one embodiment, the change feature data is a change feature vector of a predetermined dimension. Based on a feature extraction mode corresponding to the preset data change type, feature extraction is carried out on the change part data to obtain change feature data of the change part data, and the method comprises the following steps:

and obtaining the feature vector corresponding to each preset data change type based on the feature extraction mode corresponding to the preset data change type. And mapping the feature vectors corresponding to the preset data change types into the same vector space to obtain a change feature vector of the change part data in the preset dimension.

Specifically, after the system change platform obtains the change part data, the system change platform performs feature extraction on the change part data based on feature extraction modes corresponding to the change types of the preset data, so as to obtain feature vectors corresponding to the change types of the preset data respectively. After the system change platform obtains the feature vectors corresponding to the preset data change types respectively, mapping all the feature vectors into the same vector space, and obtaining the change feature vector of the change part data at the preset temperature, namely the change feature vector of the whole change part data.

The specific dimension number of the preset dimensions is determined by the dimensions of each feature vector extracted by each preset data change type, for example, if the preset data change type includes a page change and a system configuration change, feature extraction is performed on the changed part data according to a feature extraction mode corresponding to the page change and a feature extraction mode corresponding to the system configuration change, so as to obtain a plurality of page change feature vectors and a plurality of system configuration change feature vectors, and the preset dimension of the change feature vector of the changed part data is the sum of the dimensions of the page change feature vector and the system configuration change feature vector.

By extracting the feature vector of the changed part of data, the original data can be converted into a simpler and more meaningful feature vector, so that the complexity and noise interference of the data are reduced, and the classification accuracy and classification efficiency of the subsequent classification using the model are improved.

In one embodiment, as shown in FIG. 5, the feature extraction means includes type feature extraction means and/or base feature extraction means. Based on a feature extraction mode corresponding to a preset data change type, carrying out feature extraction on the change part data, wherein the feature extraction method comprises the following steps:

S502, determining a type feature extraction mode corresponding to the preset data change type.

The type feature extraction mode is a feature extraction mode corresponding to the preset data change types, is predetermined by a developer according to the data characteristics of each preset data change type, and is stored in a local storage area, so that a system change platform can be conveniently called at any time. For example, when the preset data change type is interface or virtual type change, the corresponding feature extraction mode may be to extract the number of interfaces or virtual types, or the number of interfaces or virtual type methods. When the preset data change type is entity type change, the corresponding feature extraction mode can be the number of entity type extraction methods, the number of entity type extraction methods and the like.

Specifically, the system change platform determines a type feature extraction mode corresponding to the preset data change type.

S504, obtaining a feature extraction mode corresponding to the preset data change type according to the type feature extraction mode and the basic feature extraction mode.

The basic feature extraction mode refers to a feature extraction mode that needs to be performed on most of preset data change types, and it can be understood that, among the preset data change types, other preset data change types, such as a main program logic change, an interface or virtual type change, an entity type change, a system configuration change, and the like, need to perform basic feature extraction except for a data change type with the highest change importance degree, such as a full code change, and a number change type with a lower change importance degree, such as a page change. It should be noted that, when the preset data change type is the main program logic change, the corresponding type feature extraction mode is the same as the basic feature extraction mode.

Specifically, the system changing platform determines a feature extraction mode corresponding to each preset data changing type according to the type feature extraction mode and the basic feature extraction mode of each preset data changing type.

S506, extracting the characteristics of the changed part data based on the characteristic extraction mode.

Specifically, the system change platform performs feature extraction on the changed part data based on the determined feature extraction mode. The feature extraction mode corresponding to each preset data change type is determined through the type feature extraction mode and/or the basic feature extraction mode of each preset data change type, so that the accuracy of feature extraction of the changed part data can be improved, and the determination efficiency and accuracy of the subsequent system change type are further improved.

The training process of the system change classification model will affect the classification accuracy of the model when in actual use, and in one embodiment, as shown in fig. 6, the training process of the system change classification model includes:

s602, acquiring historical change part data corresponding to each system change type.

Specifically, the system change platform acquires history change part data corresponding to each system change type from the history data according to each system change type.

S604, extracting the characteristics of each history change part data according to the characteristic extraction mode corresponding to the preset data change type to obtain history change characteristic data of each history change part data.

Specifically, as in actual use, the system change platform performs feature extraction on each history change part data according to a feature extraction mode corresponding to a preset data change type to obtain history change feature data of each history change part data.

In one embodiment, the historical modification feature data is a historical modification feature vector in a predetermined dimension. And the system change platform performs feature extraction on each history change part data according to a feature extraction mode corresponding to the preset data change type to obtain a history feature vector corresponding to each preset data change type. And mapping the historical feature vectors corresponding to the preset data change types into the same vector space to obtain the historical change feature vector of the historical change part data in the preset dimension.

S606, labeling the system change type of each history change characteristic data to obtain a labeling sample data set.

Specifically, the system change platform can use a marking tool to mark the system change type of each history change feature data to obtain a marked sample data set.

And S608, training the initial classification model based on the labeling sample data set to obtain a system change classification model.

The initial classification model may be any classifier model with learning capabilities, such as a pre-trained classifier model (Bert, bidirectional Encoder Representation from Transformers).

Specifically, the system change platform trains the initial classification model based on the obtained labeling sample data set, and the system change classification model can be obtained.

In one embodiment, the system altering platform may divide the labeled sample data set into a training set and a test set according to a preset ratio, where the preset ratio may be 8:2, i.e., determine 80% of the data in the labeled sample data set as the training set and determine 20% of the data as the test set. The training set is input into the initial classification model, and the initial classification model is trained by using a supervised learning mode, so that the type label of the initial classification model can be determined according to the historical change feature vector of the historical change part. After training is completed, the system change platform tests and evaluates the trained initial classification model by using a test set, adjusts model parameters according to the test evaluation result of the model, and determines the trained initial classification model as a system change classification model until the test evaluation result meets the preset training stop condition.

Taking an initial classification model as a Bert classifier model as an example, inputting a training set into the Bert classifier model for training, testing the trained Bert classifier model by using a testing set after the training of the training set is completed, if the testing result does not meet the preset training stopping condition, adjusting learning rate, increasing model depth, adjusting a loss function and the like, optimizing parameters of the Bert model, continuing training, improving indexes such as accuracy, recall rate, F1 score and the like, until the testing result meets the preset training stopping condition, and determining the trained Bert classifier model at the moment as a system change classification model.

In the embodiment, the model is trained and tested by using the historical change part data, so that the trained system change classification model can be ensured to have good classification accuracy in actual use, and the accuracy of determining the system change type of the system in the classification process is improved.

In one embodiment, as shown in fig. 7, determining a quality control policy for a system change based on a system change type and a security level of the system includes:

s702, determining the security level of the system according to the system security level dividing mode.

The system security level classification mode is a preset mode for determining the system security level. The system security classification mode can be preset according to the standard information system security rules.

Specifically, the system change platform calls a preset system security level division mode to divide the security level of the system. For example, when the security level of the system is related to the security of the service information and the security of the service information, the security level of the system may be determined according to the related information data of the system in two dimensions of the service information and the service information.

S704, determining the system change flow type of the system based on the system change type and the security level of the system.

The system change flow type is a type parameter for representing a corresponding change flow when the system is changed. The system change flow type is related to the system change type and the security level of the system, the system change type is different, the security level of the system is different, and the corresponding system change flow type is not necessarily the same.

Specifically, the system change platform searches for a preset corresponding relation among the change type, the security level and the change flow type according to the system change type and the security level of the system, and determines the change flow type corresponding to the system change type and the security level of the system at the same time as the system change flow type of the system.

S706, determining the quality control strategy corresponding to the system change flow type according to the system change flow type and the corresponding relation between the flow type and the quality control strategy.

Specifically, after determining the system change flow type of the system, the system change platform searches the corresponding relation between the flow type and the quality control policy according to the system change flow type, and determines the quality control policy corresponding to the system change flow type. The corresponding relation between the change flow type and the quality control strategy is predetermined by a designer according to the actual condition of the system.

By presetting the preset corresponding relation among the change type, the security level and the flow type and the corresponding relation among the flow type and the quality control strategy, the quality control strategy corresponding to the system can be rapidly and accurately determined after the change type and the security level of the system are determined, and the quality control strategy determination efficiency and accuracy are effectively improved.

In one embodiment, as shown in fig. 8, a quality control method for system modification is provided, which specifically includes the following steps:

the system changing platform responds to a changing instruction aiming at the system, acquires a system identifier carried by the changing instruction, acquires the system version source code to be started and the current system version source code from the code bin according to the system identifier, and compares the system version source code to be started and the current system version source code to obtain a change source code between the system version source code to be started and the current system version source code.

And carrying out feature extraction operation on the source codes of the variable parts according to a feature extraction mode corresponding to a preset data change type, wherein the preset data change type comprises full code change, main program logic change, interface or virtual change, entity type change, page change and system configuration change.

Specifically, when the preset data change type is full code change, the corresponding feature extraction mode is to acquire the number of files of the system version source code to be started and the current system version source code.

When the preset data change type is the main program logic change, the corresponding feature extraction mode is the number of code lines of the main program change source codes, the number of annotation lines of the main program change source codes, the number of blank lines of the main program change source codes and the circle complexity of the main program change source codes calculated by using a graph theory algorithm.

When the preset data change type is interface or virtual type change, the corresponding feature extraction mode is to search sentences defining the interface or virtual type (such as interface keywords in Java) in the variable source code, calculate the number of the interface or virtual type, and calculate the number of the interface or virtual type methods in the variable source code. Meanwhile, the code line number, the annotation line number, the blank line number, the variable number, the circle complexity and other features are extracted from the part of the variable source code, and specific steps are similar to the feature extraction mode related to the main program logic variable source code, and are not repeated here.

When the preset data change type is that the entity class is changed, the corresponding feature extraction mode is to find the statement (such as class keyword in Java) defining the entity class in the change source code, calculate the number of entity classes and the number of entity class methods, and extract the features of code line number, annotation line number, blank line number, variable number, circle complexity and the like for the part of change source code, and specific steps are similar to the feature extraction mode related to the main program logic change source code, and are not repeated herein.

When the preset data change type is page change, the corresponding feature extraction mode is to count the number of page elements in the page program change source code and the number of page element attributes in the page program change source code.

When the preset data change type is system configuration change, the corresponding feature extraction mode is to calculate the number of newly added configuration items in the configuration file change source code, calculate the number of deleted configuration items in the configuration file change source code and calculate the number of modified configuration items in the configuration file change source code, and simultaneously extract the features of code line number, annotation line number, blank line number, variable number, circle complexity and the like of the part of change source code, wherein the specific steps are similar to the feature extraction mode related to the main program logic change source code, and are not repeated herein.

Still in the feature extraction method, features are extracted from 28 dimensions for each variable source code, and the extracted features are mapped into a vector in a numerical mode to obtain a variable feature vector of the variable source code.

And inputting the variable feature vector into a system change classification model for classification processing to obtain the system change type of the system. The system change type comprises new product production, large version upgrade change, program change, management function change, page format change, important system configuration change and general system configuration change.

In particular, new product production and large version upgrade change refer to production of new products from scratch, and involve significant adjustment of system architecture or large version upgrade based on original, and such change has great influence on system safety and user use.

Program change is characterized by system function change, business logic modification, BUG modification or addition of new functions, and the change may affect other peripheral functions. Modification of database program belongs to program change.

The management function is changed to a function such as internal statistics and monitoring for some background management programs of the system, and the changed function does not provide service for external clients.

The characteristic of the page format change is that the page format is mainly changed aiming at the Internet application to meet the special requirement of a specific user, and the page format change has no influence on the use of other users basically.

An important system configuration change refers to a system and network configuration item change, and generally does not change application business logic. Important configuration changes mean that the changes have a significant impact on the system, which may result in a system shutdown or a serious degradation of system performance. The database configuration item change belongs to a system configuration change.

A general system configuration change is a system configuration item change that does not cause a decrease in the overall system performance of the system.

The system change classification model is generated according to historical change source code training. Specifically, features are extracted from 28 dimensions of the historical fluctuation source codes, the extracted features are mapped into a vector in a numeric mode, each vector is labeled with a type label according to the system change classification (total 6 types) judged by the conventional manual review, and finally, vector spaces of all the version fluctuation source codes are formed to serve as training sets. The vector space matrix is as follows:

。

wherein,is a feature vector mapped by feature information of 28 dimensions extracted from the n-th version of variable source code, C _n The type labels corresponding to the 6 system change classifications are quantized to positive integers of 1-6. Dividing the training set into a pre-training data set and a verification data set according to the ratio of 8:2, selecting a Bert model for training, and training the Bert model by using a supervised learning method so as to enable the Bert model to predict the type label according to the vector representation of the variable source code. According to the model evaluation result, the Bert model parameters are optimized by adjusting the learning rate, increasing the model depth, adjusting the loss function and the like, indexes such as the accuracy, the recall rate and the F1 score are improved, the classification result deviation of the verification data set is lower than a preset standard, and the system change classification model is obtained. The Bert model classifier performed well in the validation data test, achieved an accuracy of 87.147 and an F1 score of 89.474, exceeding human performance (EM: 86.831, F1: 89.452).

After determining the system change type, the system change platform acquires the security level of the system, searches a preset corresponding table according to the system security level and the system change type to obtain the system change flow type of the system, and determines the quality control strategy of the system according to the system change flow type.

The preset corresponding table is as follows:

the numbers 1-3 in the table represent different types of changing flow, for example, the changing flow 1 corresponds to a full quality control strategy, and the system to be put into production can be put on line after comprehensive testing and evaluation of functions, nonfunctional, safety and the like; the modification flow 2 corresponds to a simplified quality control strategy, and the system to be put into production can be put on line after being tested and evaluated by parts such as functions, nonfunctional parts and the like; the change flow 3 corresponds to a shortcut quality control strategy, and the system to be put into production can be on line only after functional test and evaluation.

It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.

Based on the same inventive concept, the embodiment of the application also provides a system changing quality control device for realizing the system changing quality control method. The implementation of the solution provided by the device is similar to that described in the above method, so the specific limitation in the embodiments of the quality control device for one or more system changes provided below may refer to the limitation of the quality control method for system changes hereinabove, and will not be repeated herein.

In one embodiment, as shown in fig. 9, a system-modified quality control device 900 is provided, including: an instruction response module 901, a storage area determination module 902, a data acquisition module 903, a change type determination module 904, a quality control policy determination module 905, and a quality control module 906, wherein:

the instruction response module 901 is configured to obtain, in response to a change instruction for a system, system identification information and system version information to be enabled, which are carried by the change instruction.

The storage area determining module 902 is configured to determine a system data storage area corresponding to the system identification information.

The data acquisition module 901 is configured to acquire system data to be enabled when the version information of the system data storage area is identical to the version information of the system to be enabled.

The change type determining module 902 is configured to perform system change analysis based on the system data to be enabled, and determine a system change type of the system.

The quality control policy determining module 903 is configured to determine a quality control policy of the system during a change process based on a system change type and a security level of the system.

The quality control module 904 is configured to control the quality of the system according to a quality control policy.

According to the quality control device for system change, when the system needs to be changed, the system identification information and the system version information to be started carried by the change instruction are obtained in response to the change instruction of the system, the system data storage area corresponding to the system identification information is determined, and under the condition that the system data storage area has the system data to be started, the version information of which is consistent with the system version information to be started, the system data to be started is indicated to be imported into the local storage area, the system data to be started is obtained, the system change type can be automatically and accurately classified through the system change analysis to be started, the system change type of the system is accurately determined, the system safety level of the system is combined, the quality control strategy of the system in the changing process is accurately determined, the situation that the system change cost is increased due to excessive quality control or the system change using risk is caused due to insufficient quality control is effectively avoided, the whole quality control strategy determining process does not need to be manually participated, the error rate of quality control strategy determining is further reduced, and the quality control strategy determining efficiency is improved. And the quality control is carried out on the change process of the system according to the precisely determined quality control strategy, so that the change efficiency of the system change can be effectively improved, and the change cost is reduced.

In one embodiment, the system-altered quality control apparatus further comprises:

the waiting module is used for determining whether the system data storage area has the system data to be started, the version information of which is consistent with the version information of the system to be started, or not after waiting for a preset time period under the condition that the system data storage area does not have the system data to be started, and the version information of which is consistent with the version information of the system to be started;

the prompt information generation module is used for generating prompt information if the system data to be started, of which the version information is consistent with the system version information to be started, still does not exist after waiting for the preset time;

the prompt module is used for sending prompt information to the preset management terminal, wherein the prompt information is used for prompting that the system data to be started do not exist.

In one embodiment, the change type determination module includes:

the comparison unit is used for comparing the data of the system to be started with the current system data based on a preset data comparison mode, and determining the changed part data of the system;

and the type determining unit is used for determining the system change type of the system according to the change part data.

In an embodiment, the type determining unit is further for:

performing feature extraction on the changed part data based on a feature extraction mode corresponding to the preset data change type to obtain changed feature data of the changed part data; searching a preset corresponding relation between the feature data and the system change type according to the change feature data, and determining the system change type corresponding to the change feature data; the system change type is determined as the system change type of the system.

In an embodiment, the type determining unit is further for:

performing feature extraction on the changed part data based on a feature extraction mode corresponding to the preset data change type to obtain changed feature data of the changed part data; inputting the change characteristic data into a system change classification model for classification processing to obtain a system change type of the system; the system change classification model is obtained through training according to historical change characteristic data corresponding to each system change type.

In one embodiment, the change feature data is a change feature vector of a preset dimension; the type determining unit is further configured to:

based on the feature extraction mode corresponding to the preset data change types, obtaining feature vectors corresponding to the preset data change types; and mapping the feature vectors corresponding to the preset data change types into the same vector space to obtain a change feature vector of the change part data in the preset dimension.

the model training module is used for acquiring historical change part data corresponding to each system change type; according to a feature extraction mode corresponding to the preset data change type, extracting features of each history change part data to obtain history change feature data of each history change part data; labeling the system change type of each history change characteristic data to obtain a labeling sample data set; training the initial classification model based on the labeling sample data set to obtain a system change classification model.

In one embodiment, the feature extraction means includes a base feature extraction means and a type feature extraction means; the type determining unit is further configured to:

determining a type feature extraction mode corresponding to a preset data change type; obtaining a feature extraction mode corresponding to the preset data change type according to the type feature extraction mode and the basic feature extraction mode; and carrying out feature extraction on the changed part data based on the feature extraction mode.

In one embodiment, the quality control strategy determination module comprises:

the security level determining unit is used for determining the security level of the system according to the system security level dividing mode;

the quality control strategy determining unit is used for searching a preset corresponding relation among the change type, the security level and the quality control strategy based on the system change type and the security level of the system, and determining the quality control strategy corresponding to the system change type and the security level of the system.

The above-described system-modified quality control apparatus may be implemented in whole or in part by software, hardware, or a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.

In one embodiment, a computer device is provided, which may be a system change platform, and the internal structure of which may be as shown in fig. 10. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer equipment is used for storing data such as system data to be started, system change types, security level of the system, quality control strategies of the system in the change process and the like. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program, when executed by a processor, implements a method of quality control for system modification.

It will be appreciated by those skilled in the art that the structure shown in fig. 10 is merely a block diagram of some of the structures associated with the present application and is not limiting of the computer device to which the present application may be applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.

In one embodiment, a computer device is provided, including a memory and a processor, where the memory stores a computer program, and the processor implements steps of the quality control method for system modification described above when the processor executes the computer program.

In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, which when executed by a processor implements the steps of the quality control method for system modification described above.

In one embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the steps of the above-described system-altered quality control method.

Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the various embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the various embodiments provided herein may include at least one of relational databases and non-relational databases. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic units, quantum computing-based data processing logic units, etc., without being limited thereto.

The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.

The above examples only represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the present application. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application shall be subject to the appended claims.

Claims

1. A method for quality control of a system change, the method comprising:

2. The method according to claim 1, wherein the method further comprises:

when the system data storage area does not have the system data to be started, the version information of which is consistent with the version information of the system to be started, and after waiting for a preset time period, determining whether the system data storage area has the system data to be started, the version information of which is consistent with the version information of the system to be started;

if the system data to be started, of which the version information is consistent with the system version information to be started, does not exist after waiting for the preset time period, generating prompt information;

and sending the prompt information to a preset management terminal, wherein the prompt information is used for prompting that the system data to be started does not exist.

3. The method of claim 1, wherein the determining a system change type for the system based on the system data to be enabled comprises:

Based on a preset data comparison mode, comparing the system data to be started with the current system data to determine the changed part data of the system;

and determining the system change type of the system according to the change part data.

4. A method according to claim 3, wherein said determining a system change type of the system from the change portion data comprises:

performing feature extraction on the change part data based on a feature extraction mode corresponding to a preset data change type to obtain change feature data of the change part data;

searching a preset corresponding relation between the feature data and the system change type according to the change feature data, and determining the system change type corresponding to the change feature data;

and determining the system change type as the system change type of the system.

5. A method according to claim 3, wherein said determining a system change type of the system from the change portion data comprises:

Inputting the change characteristic data into a system change classification model for classification processing to obtain a system change type of the system; the system change classification model is obtained through training according to historical change characteristic data corresponding to each system change type.

6. The method of claim 5, wherein the change feature data is a change feature vector of a preset dimension;

the feature extraction method based on the feature extraction mode corresponding to the preset data change type performs feature extraction on the change part data to obtain change feature data of the change part data, and the method comprises the following steps:

based on the feature extraction mode corresponding to the preset data change type, obtaining feature vectors corresponding to the preset data change types;

mapping the feature vector corresponding to each preset data change type into the same vector space to obtain a change feature vector of the change part data in a preset dimension.

7. The method of claim 5, wherein the training process of the system altering classification model comprises:

acquiring historical change part data corresponding to each system change type;

performing feature extraction on each history change part data according to a feature extraction mode corresponding to a preset data change type to obtain history change feature data of each history change part data;

Labeling the system change type of each history change characteristic data to obtain a labeling sample data set;

training the initial classification model based on the labeling sample data set to obtain the system change classification model.

8. The method according to any of claims 5-7, wherein the feature extraction means comprises type feature extraction means and/or basic feature extraction means;

the feature extraction method based on the feature extraction mode corresponding to the preset data change type performs feature extraction on the change part data, and includes:

determining a type feature extraction mode corresponding to a preset data change type;

obtaining a feature extraction mode corresponding to the preset data change type according to the type feature extraction mode and/or the basic feature extraction mode;

and carrying out feature extraction on the changed part data based on the feature extraction mode.

9. The method of any of claims 5-7, wherein the preset data change type comprises at least one of a full code change, a main program logic change, an interface or virtual type change, an entity type change, a page change, a system configuration change.

10. The method of claim 1, wherein the determining a quality control policy for the system change based on the system change type and the security level of the system comprises:

Determining the security level of the system according to the system security level dividing mode;

determining a system change flow type of the system based on the system change type and the security level of the system;

and determining the quality control strategy corresponding to the system change flow type according to the system change flow type and the corresponding relation between the flow type and the quality control strategy.

11. A system-altering quality control apparatus, the apparatus comprising:

12. The apparatus of claim 11, wherein the apparatus further comprises:

the waiting module is used for determining whether the system data storage area has the system data to be started, the version information of which is consistent with the version information of the system to be started, after waiting for a preset time period, if the system data storage area does not have the system data to be started, the version information of which is consistent with the version information of the system to be started;

the prompt information generation module is used for generating prompt information if the system data to be started, of which the version information is consistent with the system version information to be started, does not exist after waiting for the preset time period;

the prompt module is used for sending the prompt information to a preset management terminal, and the prompt information is used for prompting that the system data to be started do not exist.

13. The apparatus of claim 11, wherein the change type determination module comprises:

14. The apparatus of claim 13, wherein the type determination unit is further configured to:

performing feature extraction on the change part data based on a feature extraction mode corresponding to a preset data change type to obtain change feature data of the change part data; searching a preset corresponding relation between the feature data and the system change type according to the change feature data, and determining the system change type corresponding to the change feature data; and determining the system change type as the system change type of the system.

15. The apparatus of claim 13, wherein the type determination unit is further configured to:

performing feature extraction on the change part data based on a feature extraction mode corresponding to a preset data change type to obtain change feature data of the change part data; inputting the change characteristic data into a system change classification model for classification processing to obtain a system change type of the system; the system change classification model is obtained through training according to historical change characteristic data corresponding to each system change type.

16. The apparatus of claim 15, wherein the change feature data is a change feature vector of a preset dimension; the type determining unit is further configured to:

based on the feature extraction mode corresponding to the preset data change type, obtaining feature vectors corresponding to the preset data change types; mapping the feature vector corresponding to each preset data change type into the same vector space to obtain a change feature vector of the change part data in a preset dimension.

17. The apparatus of claim 15, wherein the apparatus further comprises:

the model training module is used for acquiring historical change part data corresponding to each system change type; performing feature extraction on each history change part data according to a feature extraction mode corresponding to a preset data change type to obtain history change feature data of each history change part data; labeling the system change type of each history change characteristic data to obtain a labeling sample data set; training the initial classification model based on the labeling sample data set to obtain the system change classification model.

18. The apparatus according to any one of claims 15-17, wherein the feature extraction means comprises a base feature extraction means and a type feature extraction means; the type determining unit is further configured to:

19. The apparatus of claim 11, wherein the quality control strategy determination module comprises:

and the quality control strategy determining unit is used for searching a preset corresponding relation among the change type, the safety level and the quality control strategy based on the system change type and the safety level of the system, and determining the quality control strategy corresponding to the system change type and the safety level of the system.

20. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any one of claims 1 to 10 when the computer program is executed.

21. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 10.

22. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any one of claims 1 to 10.