CN118069208A - Analysis method and related equipment for potential performance influence caused by system change - Google Patents
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Abstract
The application discloses an analysis method and related equipment for potential performance influence caused by system change, wherein the disclosed method comprises the following steps: acquiring a first version of program codes of the target application system and a second version of program codes, wherein the first version is a current production running version of the target application system, and the second version is a to-be-put-into-production version which corresponds to the target application system and is used for changing the first version; determining a difference program code of the second version of program code relative to the first version of program code; identifying object code content in the differencing program code that potentially affects system performance of the target application system; and generating and outputting a potential performance influence analysis result under the condition of carrying out system change on the target application system according to the identification result. The application realizes that the potential performance influence under the condition of system change is analyzed in a mode of directly determining the code difference and goes deep to the program code level, and can more objectively, comprehensively and timely assist related personnel to discover the hidden danger of the performance influence.
Description
Technical Field
The application belongs to the technical field of software development and testing, and particularly relates to an analysis method and related equipment for potential performance influence caused by system change.
Background
The banking information system has very high performance stability requirement, which is not only a requirement in terms of supervision, but also an important aspect related to user experience and even financial security. Therefore, in the field of performance testing in banking industry, it is often necessary to analyze changes to the system to determine whether factors affecting the performance of the system may exist.
In order to ensure that when banking information systems are changed, potential performance influence hazards possibly caused by the change are accurately analyzed and identified, and development and testing personnel are required to conduct performance influence analysis work of the system change. The performance impact analysis under the condition of system change is usually performed in a performance test link, and in the related technology, the performance impact analysis is mainly realized by means of communication discussion between a developer and a tester, wherein the developer introduces the content of the system change and the impact analysis, and the tester carries out supplementary questioning so as to form specific judgment of potential performance impact. This approach obviously lacks specific objective analysis means, which may cause performance impact hidden trouble to occur when the hidden trouble is not found, and in extreme cases, may also cause a vacuum zone of performance impact analysis due to insufficient introduction of system change contents and change impact by a developer, insufficient introduction information obtained by a tester, and insufficient knowledge of the system itself and system program code. Therefore, a more objective and scientific method is needed to analyze the performance impact of system changes and discover the hidden trouble of performance impact comprehensively in time.
Disclosure of Invention
In view of the above, the application discloses an analysis method and related equipment for potential performance influence caused by system change, which can more objectively, comprehensively and timely assist related personnel to discover potential performance influence hazards caused by system change by analyzing the potential performance influence under the condition of system change by going deep to a program code level.
The specific scheme is as follows:
a method of analyzing a system change induced potential performance impact, comprising:
acquiring a first version of program code and a second version of program code of a target application system; the first version is a version of the current production operation of the target application system, and the second version is a version to be put into production, which corresponds to the target application system and is used for changing the first version;
determining a difference program code of the second version of program code relative to the first version of program code;
identifying target code content in the difference program code, which potentially affects the system performance of the target application system, to obtain an identification result;
And generating and outputting a potential performance influence analysis result under the condition of carrying out system change on the target application system according to the identification result.
Optionally, the determining the difference program code of the second version of program code relative to the first version of program code includes:
and comparing the program codes of the second version with the program codes of the first version by using a source code management tool to obtain difference program codes of the second version relative to the program codes of the first version.
Optionally, the differential program code includes at least one of an add program code, a modify program code, and a delete program code of the second version of program code relative to the first version of program code;
Before the identifying object code content in the differencing program code that potentially affects system performance of the target application system, the method further comprises:
and filtering the deleted program codes of the second version of program codes relative to the first version of program codes in the difference program codes.
Optionally, the identifying object code content in the differential program code that potentially affects system performance of the target application system includes:
identifying whether target code keywords potentially affecting the system performance of the target application system exist in the differential program codes by matching the differential program codes with a preset program code keyword set;
wherein the set of program code keywords includes a plurality of program code keywords that potentially affect system performance of the target application system.
Optionally, the generating and outputting the analysis result of the potential performance impact under the condition of performing the system change on the target application system according to the identification result includes:
and if the identification result represents that the target code keywords which potentially influence the system performance of the target application system exist in the difference program codes, generating and outputting a potential performance influence analysis result containing the target code keywords and/or corresponding description information.
Optionally, the corresponding description information includes at least one of:
the position of the target code keyword in the second version of program code;
program code category to which the object code keyword belongs;
the explanation information of the target code keywords;
and the influence degree of the target code keywords on the system performance.
Optionally, the program code category to which the target code keyword belongs is a corresponding category of the following categories:
frame code classes, business code classes, SQL statement classes, configuration file classes, dependency file classes, and database change script classes.
An analysis device for system change induced potential performance effects, comprising:
The acquisition module is used for acquiring the first version of program code and the second version of program code of the target application system; the first version is a version of the current production operation of the target application system, and the second version is a version to be put into production, which corresponds to the target application system and is used for changing the first version;
A determining module for determining a difference program code of the second version of program code relative to the first version of program code;
the identification module is used for identifying target code content which potentially affects the system performance of the target application system in the difference program code to obtain an identification result;
And the generation and output module is used for generating a potential performance influence analysis result under the condition of carrying out system change on the target application system according to the identification result.
An electronic device, comprising:
A memory for storing at least one set of computer instructions;
A processor for implementing the method of analysis of system change induced potential performance impact as described in any one of the preceding claims by executing the set of instructions stored in the memory.
A computer readable medium having stored thereon a set of computer instructions which, when executed by a processor, is for implementing a method of analysis of a system change induced potential performance impact as claimed in any preceding claim.
In summary, the analysis method and related device for system change triggering potential performance influence provided by the application are implemented by obtaining the program code of the first version and the program code of the second version of the target application system (the first version is the version of the current production operation of the target application system, the second version is the version to be put into production for changing the first version corresponding to the target application system), determining the difference program code of the second version relative to the program code of the first version, identifying the object code content of the difference program code, which potentially influences the system performance of the target application system, and generating and outputting the analysis result of the potential performance influence under the condition of system change on the target application system according to the identification result, so as to directly determine the code difference (the program code difference between the version to be put into production and the version of the current production operation), analyze the potential performance influence under the condition of system change, and more comprehensively and objectively and timely assist development and test the performance influence by the related personnel without depending on communication discussion between developers and testers.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the related art, the drawings that are required to be used in the embodiments or the related technical descriptions will be briefly described, and it is apparent that the drawings in the following description are only embodiments of the present application, and other drawings may be obtained according to the provided drawings without inventive effort for those skilled in the art.
FIG. 1 is a schematic flow chart of a method for analyzing a system change induced potential performance impact provided by the present application;
FIG. 2 is an example of multiple categories of program code that may affect/potentially affect system performance provided by the present application;
FIG. 3 is an example of the results of a potential performance impact analysis provided by the present application;
FIG. 4 is a schematic flow chart of another method for analyzing a system change induced potential performance impact provided by the present application;
FIG. 5 is a block diagram of the components of the analysis device of the system change induced potential performance impact provided by the present application;
fig. 6 is a component configuration diagram of an electronic device provided by the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
The embodiment of the application provides an analysis method and related equipment for potential performance influence caused by system change, which can be applied to system change scenes caused by system repair, upgrading and the like.
When the potential performance influence caused by system change is analyzed, the related technology can only analyze and judge by means of the degree of understanding of the change content by the developer and the communication discussion between the developer and the tester, and the real situation of system change is comprehensively and objectively mastered without a channel, and objective analysis means is lacked, so that hidden dangers of performance influence are difficult to be timely and comprehensively found. Aiming at the situation, the application can help relevant personnel such as development, test and the like to find hidden dangers of performance influence more timely, objectively and comprehensively by determining code differences (program code differences between a version to be put into production and a version operated in current production) and going deep into the analysis and judgment of the code level to determine the potential performance influence caused by system change.
Referring to a flowchart of an analysis method for a potential performance impact caused by a system change shown in fig. 1, the analysis method for a potential performance impact caused by a system change provided by the embodiment of the application at least includes the following processing steps:
Step 101, acquiring a first version of program codes of a target application system and a second version of program codes of the target application system, wherein the first version is a current production running version of the target application system, and the second version is a to-be-put-into-production version which corresponds to the target application system and is used for changing the first version.
The target application system is a system to be changed and may be, but is not limited to, an enterprise information system, such as a banking information system. The modification herein specifically refers to changing the version of the target application system, and by changing the version of the target application system, adding functions, deleting functions, modifying configuration, repairing vulnerabilities, and/or upgrading system components of the target application system as needed is achieved.
Optionally, the program code of the production version branch of the target application system and the program code of the to-be-commissioned (pre-commissioned) version branch of the target application system may be obtained through a source code management tool of the enterprise, and the program code of the to-be-commissioned (pre-commissioned) version branch and the program code of the to-be-commissioned version branch are respectively used as the first version program code and the second version program code of the target application system.
It should be noted that, in the embodiments of the present application, the "program code" or the shorthand form of "code" thereof refers to a text expression of a computer program, and generally includes a series of instructions and data for implementing a specific function or solving a specific problem.
Step 102, determining a difference program code of the second version of program code relative to the first version of program code.
After the first version of the program code and the second version of the program code of the target application system are obtained, the first version of the program code and the second version of the program code can be compared, and the difference program code of the second version of the program code relative to the first version of the program code is determined through the program code content comparison, namely, the difference program code of the to-be-put-into-production version of the target application program compared with the program code of the current production running version is determined.
In implementation, optionally, by means of a code comparison function or a code comparison instruction of the source code management tool, code content comparison is performed on the second version of program code and the first version of program code through code scanning, and a difference program code of the second version of program code relative to the first version of program code is obtained based on a mode of scanning code difference.
The resulting differential program code includes at least one of an add program code, a modify program code, and a delete program code of the second version of the program code relative to the first version of the program code.
And step 103, identifying object code content in the difference program code, which potentially affects the system performance of the target application system, and obtaining an identification result.
The embodiment of the application is based on preprocessing, and the program codes which potentially affect the system performance (such as the program codes which affect the system performance and/or the program codes which may affect the system performance) are mined and summarized in advance, and the keyword extraction and processing (such as normalization) are performed to form a program code keyword set. The set of program code keywords formed, respectively, includes a plurality of program code keywords that potentially affect the system performance of the target application system.
Optionally, the working experience and the technical information in the industry can be combined, and each program code keyword which potentially influences the system performance can be obtained through processing such as program code mining, keyword extraction/processing and the like.
Taking Java code as an example, program codes that affect system performance generally include looping, frequently creating new objects, using multithreading, outputting logs, adding slice processing, file processing, SQL (Structured Query Language ) statement adjustment, configuration changes of configuration files about timeout configuration and maximum connection number, etc., and for these program codes, a set of program code keywords, such as a program code keyword list, can be created through processing such as code keyword extraction and processing.
Optionally, the embodiment of the application classifies the code keywords in the code keyword set, marks the code keywords corresponding to the belonging code categories including but not limited to a frame code category, a business code category, an SQL sentence category, a configuration file category, a dependent file category, a database change script category and the like, provides corresponding explanation information for each code keyword, and provides influence degree information for each code keyword, which influences the system performance.
Wherein the influence degree information can be, but not limited to, represented by an influence level or an influence weight, and the influence level can be called as a hidden danger level.
Referring to FIG. 2, exemplary provided are a plurality of categories of program code that may affect/potentially affect system performance, and further to Table 1, exemplary provided are a plurality of program code keywords, and associated descriptive information regarding their category, interpretation, level of impact on system performance, and the like.
TABLE 1
| Keyword(s) | Category(s) | Description of the invention | Impact level |
| while | Service code | Circulation | Low and low |
| new Thread | Service code | New thread | High height |
| threadpool | Service code | Thread pool | High height |
| File | Service code | File correlation | In (a) |
| @Async | Service code | Asynchronous annotation | In (a) |
| @transactional | Service code | Transaction annotation | High height |
| @controller | Service code | New transaction annotation | High height |
| log.info | Service code | Log correlation | In (a) |
| lock | Service code | Lock-related | Low and low |
| filter | Service code | Filter device | In (a) |
| @aspect | Service code | Cut noodles | High height |
| @MapperScan | Service code | Database interaction logic | In (a) |
| select* | SQL | SQL statement | High height |
| like | SQL | SQL statement | High height |
| not in | SQL | SQL statement | High height |
| group by | SQL | SQL statement | High height |
| spring.datasource | Configuration file | Data source configuration | High height |
| max-timeout | Configuration file | Timeout configuration | In (a) |
| max-connection | Configuration file | Connection number configuration | High height |
| 。。。。。。 | 。。。。。 | 。。。。。。 | 。。。。。 |
Based on the preprocessing, whether the target code keywords which potentially affect the system performance of the target application system exist in the differential program code can be identified by matching the differential program code with a preset program code keyword set.
And 104, generating and outputting a potential performance influence analysis result under the condition of carrying out system change on the target application system according to the identification result.
And if the identification result represents that the target code keywords potentially affecting the system performance of the target application system exist in the difference program codes, generating and outputting a potential performance influence analysis result containing the target code keywords and/or corresponding description information.
The corresponding description information of the object code keywords includes, but is not limited to, at least one of:
the location of the object code keyword in the second version of the program code (abbreviated code location);
program code category to which the object code keyword belongs;
the explanation information of the target code keywords;
The extent to which object code keywords affect system performance.
Referring to fig. 3, an example of a potential performance impact analysis result is provided, in which the generated potential performance impact analysis result specifically includes an object code keyword, a code position where the object code keyword is located in the second version of program code, a program code category (hit type) to which the object code keyword corresponds, and an impact level (hidden danger level) of the object code keyword on system performance.
It is readily appreciated that if the recognition result characterizes that there are no object code keywords in the differencing program code that potentially affect the system performance of the target application system, then a potential performance impact analysis result can be generated and output that characterizes that no performance impact is generated.
In summary, according to the analysis method for the potential performance influence caused by the system change provided by the application, by acquiring the program code of the first version and the program code of the second version of the target application system (the first version is the version of the target application system which is currently produced and operated, and the second version is the version to be produced and which is corresponding to the target application system and is used for changing the first version), determining the difference program code of the second version relative to the program code of the first version, identifying the target code content of the difference program code which potentially influences the system performance of the target application system, and generating and outputting the analysis result of the potential performance influence under the condition of carrying out the system change on the target application system according to the identification result, the analysis method is realized to directly determine the code difference (the program code difference between the version to be produced and the version which is currently produced and operated), analyze the potential performance influence under the condition of the system change, and the analysis of the potential performance influence under the condition of the system change is more scientific, and the performance influence analysis under the condition of the system change can be more objectively and comprehensively and timely found out the performance influence of related personnel without depending on communication discussion between developers and testers.
In an alternative embodiment, referring to the flowchart of the analysis method for causing potential performance impact by system change shown in fig. 4, before identifying the object code content in the differential program code, the method provided by the present application may further include the following processes:
step 401, filtering out deleted program codes of the second version of program codes relative to the first version of program codes in the differential program codes.
Deleting program code of the second version of program code relative to the first version of program code, specifically refers to deleting program code of the second version of the target application program compared to the first version. In an application scenario where the target application program is changed from the first version of the program code to the second version of the program code, deleting the program code typically does not have an effect on system performance (e.g., slowing down system operating rates, etc.). Based on this, in this embodiment, after determining the difference program code of the second version program code relative to the first version program code, the difference program code is first subjected to optimization processing, the deleted program codes in the difference program code are filtered, and only the portions other than the deleted program codes are reserved, for example, only the newly added program code and the modified program code of the second version program code relative to the first version program code are reserved, so that the data amount of the difference program code is reduced. Subsequently, only partial difference program codes reserved after filtering processing are subjected to potential performance influence analysis, for example, the reserved newly-added program codes and modified program codes are subjected to keyword matching with a program code keyword set, whether target code keywords which potentially influence the system performance exist in the reserved newly-added program codes and modified program codes or not is identified, and further, the analysis of potential performance influence caused by system change is realized.
According to the embodiment, after the difference program code of the second version relative to the program code of the first version is determined, the difference program code is optimized, deleted program codes in the difference program code are filtered, only the part except the deleted program codes is reserved, the data size of the difference program code is reduced as much as possible, the subsequent keyword matching workload is reduced, and therefore the efficiency of performance influence analysis can be further improved, and the analysis time consumption is reduced.
Corresponding to the above method, the embodiment of the present application further provides an analysis device for potential performance impact caused by system modification, where the composition structure of the analysis device is shown in fig. 5, and the analysis device includes:
An obtaining module 501, configured to obtain a first version of program code and a second version of program code of a target application system; the first version is a version of the current production operation of the target application system, and the second version is a version to be put into production, which corresponds to the target application system and is used for changing the first version;
a determining module 502 for determining a difference program code of the second version of program code relative to the first version of program code;
An identifying module 503, configured to identify target code content in the differential program code, where the target code content potentially affects system performance of the target application system, to obtain an identification result;
And the generating and outputting module 504 is configured to generate a potential performance impact analysis result under the condition of performing a system change on the target application system according to the identification result.
In an alternative embodiment, the determining module 502 is specifically configured to: and comparing the program codes of the second version with the program codes of the first version by using a source code management tool to obtain difference program codes of the second version relative to the program codes of the first version.
In an alternative embodiment, the differential program code includes at least one of an add program code, a modify program code, and a delete program code of the second version of program code relative to the first version of program code;
the apparatus further comprises a filtering module for:
The deleted program code of the second version of program code relative to the first version of program code in the differencing program code is filtered before the identifying module 503 identifies object code content in the differencing program code that potentially affects system performance of the target application system.
In an alternative embodiment, the identification module 503 is specifically configured to:
identifying whether target code keywords potentially affecting the system performance of the target application system exist in the differential program codes by matching the differential program codes with a preset program code keyword set;
wherein the set of program code keywords includes a plurality of program code keywords that potentially affect system performance of the target application system.
In an alternative embodiment, the generating and outputting module 504 is specifically configured to:
and if the identification result represents that the target code keywords which potentially influence the system performance of the target application system exist in the difference program codes, generating and outputting a potential performance influence analysis result containing the target code keywords and/or corresponding description information.
In an alternative embodiment, the corresponding description information includes at least one of:
the position of the target code keyword in the second version of program code;
program code category to which the object code keyword belongs;
the explanation information of the target code keywords;
and the influence degree of the target code keywords on the system performance.
In an alternative embodiment, the program code category to which the object code keyword belongs is a corresponding category of the following categories:
frame code classes, business code classes, SQL statement classes, configuration file classes, dependency file classes, and database change script classes.
The analysis device for the potential performance impact caused by the system change provided by the embodiment of the present application is relatively simple to describe, and the relevant similarities are described in the description of the method embodiment above, and are not described in detail herein.
The embodiment of the application also discloses an electronic device, and the composition structure of the electronic device, as shown in fig. 6, at least comprises:
a memory 10 for storing a set of computer instructions;
the set of computer instructions may be implemented in the form of a computer program.
A processor 20 for implementing a method of analysis of potential performance impact caused by system changes as disclosed in any of the method embodiments above by executing a set of computer instructions.
The processor 20 may be a central processing unit (Central Processing Unit, CPU), application-specific integrated circuit (ASIC), digital Signal Processor (DSP), application-specific integrated circuit (ASIC), field-programmable gate array (FPGA), or other programmable logic device, etc.
Optionally, the electronic device may further include a display device and/or a display interface, which may be externally connected to the display device.
Optionally, the electronic device may further include a camera assembly, and/or an external camera assembly may be connected thereto.
In addition, the electronic device may include communication interfaces, communication buses, and the like. The memory, processor and communication interface communicate with each other via a communication bus.
The communication interface is used for communication between the electronic device and other devices. The communication bus may be a peripheral component interconnect standard (PERIPHERAL COMPONENT INTERCONNECT, PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, etc., and may be classified as an address bus, a data bus, a control bus, etc.
Embodiments of the present application also provide a computer readable medium having stored thereon a set of computer instructions which, when executed by a processor, is adapted to carry out a method of analyzing a system change induced potential performance impact as provided by any of the method embodiments above.
It should be noted that, in the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described as different from other embodiments, and identical and similar parts between the embodiments are all enough to be referred to each other.
For convenience of description, the above system or apparatus is described as being functionally divided into various modules or units, respectively. Of course, the functions of each element may be implemented in the same piece or pieces of software and/or hardware when implementing the present application.
From the above description of embodiments, it will be apparent to those skilled in the art that the present application may be implemented in software plus a necessary general hardware platform. Based on such understanding, the technical solution of the present application may be embodied essentially or inventive contributing portions thereof in the form of a software product, which may be stored in a storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the embodiments or portions of the embodiments of the present application.
Finally, it is further noted that relational terms such as first, second, third, fourth, and the like are used herein to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The foregoing is merely a preferred embodiment of the present application and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present application, which are intended to be comprehended within the scope of the present application.
Claims (10)
1. A method of analyzing a system change induced potential performance impact, comprising:
acquiring a first version of program code and a second version of program code of a target application system; the first version is a version of the current production operation of the target application system, and the second version is a version to be put into production, which corresponds to the target application system and is used for changing the first version;
determining a difference program code of the second version of program code relative to the first version of program code;
identifying target code content in the difference program code, which potentially affects the system performance of the target application system, to obtain an identification result;
And generating and outputting a potential performance influence analysis result under the condition of carrying out system change on the target application system according to the identification result.
2. The method of analyzing for a potential performance impact caused by a system change according to claim 1, wherein said determining a difference program code of said second version of program code relative to said first version of program code comprises:
and comparing the program codes of the second version with the program codes of the first version by using a source code management tool to obtain difference program codes of the second version relative to the program codes of the first version.
3. The method of claim 1, wherein the differential program code comprises at least one of an add program code, a modify program code, and a delete program code of the second version of program code relative to the first version of program code;
before the identifying the object code content in the differential program code that potentially affects the system performance of the target application system, further comprising:
and filtering the deleted program codes of the second version of program codes relative to the first version of program codes in the difference program codes.
4. The method of claim 1, wherein identifying object code content in the differencing program code that potentially affects system performance of the target application system comprises:
identifying whether target code keywords potentially affecting the system performance of the target application system exist in the differential program codes by matching the differential program codes with a preset program code keyword set;
wherein the set of program code keywords includes a plurality of program code keywords that potentially affect system performance of the target application system.
5. The method for analyzing a potential performance impact caused by a system change according to claim 4, wherein the step of generating and outputting a potential performance impact analysis result in the case of performing a system change on the target application system according to the identification result comprises:
and if the identification result represents that the target code keywords which potentially influence the system performance of the target application system exist in the difference program codes, generating and outputting a potential performance influence analysis result containing the target code keywords and/or corresponding description information.
6. The method of claim 5, wherein the corresponding description information includes at least one of:
the position of the target code keyword in the second version of program code;
program code category to which the object code keyword belongs;
the explanation information of the target code keywords;
and the influence degree of the target code keywords on the system performance.
7. The method of claim 6, wherein the program code category to which the object code keyword belongs is a corresponding one of the following categories:
frame code classes, business code classes, SQL statement classes, configuration file classes, dependency file classes, and database change script classes.
8. An analysis device for system change induced potential performance effects, comprising:
The acquisition module is used for acquiring the first version of program code and the second version of program code of the target application system; the first version is a version of the current production operation of the target application system, and the second version is a version to be put into production, which corresponds to the target application system and is used for changing the first version;
A determining module for determining a difference program code of the second version of program code relative to the first version of program code;
the identification module is used for identifying target code content which potentially affects the system performance of the target application system in the difference program code to obtain an identification result;
And the generation and output module is used for generating a potential performance influence analysis result under the condition of carrying out system change on the target application system according to the identification result.
9. An electronic device, comprising:
A memory for storing at least one set of computer instructions;
A processor for implementing the method of analysis of potential performance impact caused by a system change according to any one of claims 1-7 by executing the set of instructions stored in the memory.
10. A computer readable medium having stored thereon a set of computer instructions for implementing the method of analysis of potential performance impact caused by a system change according to any of claims 1-7 when executed by a processor.
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