CN109901997B - Financial system upgrading method and device, electronic equipment and storage medium - Google Patents
Financial system upgrading method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The present disclosure provides a financial system upgrading method, a financial system upgrading device, an electronic device and a computer readable storage medium, and belongs to the technical field of computers. The method comprises the following steps: acquiring an initial financial system and acquiring a plurality of modification nodes for the initial financial system; determining one or more modified node combinations from the plurality of modified nodes; determining an intermediate financial system corresponding to the modified node combination according to the modified node combination, and respectively acquiring test data of the intermediate financial system; a target financial system is determined from the intermediate financial systems based on the test data. The method and the device can improve the upgrading efficiency of the financial system, meet different modification and upgrading requirements, and increase the upgrading flexibility of the financial system.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to a financial system upgrade method, a financial system upgrade apparatus, an electronic device, and a computer readable storage medium.
Background
With the development of network technology, financial systems (e.g., payment-type applications, banking-type applications, stock-type applications, etc.) are becoming more popular in people's daily lives. To meet customer service needs, financial systems need to be updated or updated frequently.
The existing financial system upgrading method generally carries out a large number of active tests after the financial system is completely modified and updated, and judges whether the modification has problems or not based on test data. When judging that the problem exists, the modified content needs to be checked row by row to find out the reason of the problem, and the efficiency is low.
It should be noted that the information disclosed in the above background section is only for enhancing understanding of the background of the present disclosure and thus may include information that does not constitute prior art known to those of ordinary skill in the art.
Disclosure of Invention
The present disclosure provides a financial system upgrade method, a financial system upgrade apparatus, an electronic device, and a computer-readable storage medium, thereby overcoming the defect that the existing financial system upgrade method cannot effectively find modification problems at least to some extent.
Other features and advantages of the present disclosure will be apparent from the following detailed description, or may be learned in part by the practice of the disclosure.
According to one aspect of the present disclosure, there is provided a financial system upgrade method, including: acquiring an initial financial system and acquiring a plurality of modification nodes for the initial financial system; determining one or more modified node combinations from the plurality of modified nodes; determining an intermediate financial system corresponding to the modified node combination according to the modified node combination, and respectively acquiring test data of the intermediate financial system; a target financial system is determined from the intermediate financial systems based on the test data.
In an exemplary embodiment of the present disclosure, after the determining one or more modified node combinations from the plurality of modified nodes, the method further includes: acquiring the modification time of each modification node; determining the modification time of the modification node combination based on the modification time of the modification node in each modification node combination; the determining a target financial system from the intermediate financial systems based on the test data includes: and determining a target financial system from the intermediate financial systems according to the test data and the modification time of the modification node combination.
In an exemplary embodiment of the disclosure, the determining a target financial system from the intermediate financial systems according to the test data and the modification time includes: determining a first score for each of the intermediate financial systems based on the test data; determining a second score of the intermediate financial system corresponding to each modified node combination based on the modified time of each modified node combination; and carrying out weighted calculation on the first score and the second score, and determining a target financial system from the intermediate financial systems according to the weighted calculation result.
In an exemplary embodiment of the disclosure, the determining the modification time of the modification node combination based on the modification time of the modification node in each modification node combination includes: and determining the latest modification time in the modification time of the modification nodes of the modification node combination as the modification time of the modification node combination.
In an exemplary embodiment of the disclosure, the determining, according to each modified node combination, an intermediate financial system corresponding to the modified node combination, and obtaining test data of each intermediate financial system respectively includes: obtaining sample data; respectively inputting the test sample data into each intermediate financial system to obtain to-be-evaluated data of each intermediate financial system; the method further comprises the steps of: inputting the sample data into the initial financial system to obtain reference data; the determining a target financial system from the intermediate financial systems based on the test data includes: a target financial system is determined from the intermediate financial systems based on the difference between the reference data and the data to be evaluated.
In one exemplary embodiment of the present disclosure, the plurality of modification nodes includes N modification nodes; determining all modification node combinations comprising i modification nodes from the N modification nodes; wherein i is any natural number within [1, N ].
In one exemplary embodiment of the present disclosure, the location interval of each two of the plurality of modification nodes in the initial financial system exceeds a preset threshold.
According to one aspect of the present disclosure, there is provided a financial system upgrade apparatus, comprising: the system comprises a modification node acquisition module, a modification node generation module and a modification node generation module, wherein the modification node acquisition module is used for acquiring an initial financial system and acquiring a plurality of modification nodes aiming at the initial financial system; a modification combination determination module configured to determine one or more modification node combinations from the plurality of modification nodes; the test data acquisition module is used for determining an intermediate financial system corresponding to the modified node combination according to the modified node combination and respectively acquiring test data of the intermediate financial system; and the target system determining module is used for determining a target financial system from the intermediate financial systems based on the test data.
In an exemplary embodiment of the present disclosure, the modification combination determination module may further include: a node modification time obtaining unit, configured to obtain modification time of each modification node; a combination modification time determining unit, configured to determine a modification time of each modification node combination based on a modification time of a modification node in the modification node combination; the target system determination module includes: and the target financial system determining unit is used for determining a target financial system from the intermediate financial systems according to the test data and the modification time of the modification node combination.
In one exemplary embodiment of the present disclosure, the target financial system determining unit may include: a first score determining unit configured to determine a first score of each of the intermediate financial systems based on the test data; a second score determining unit, configured to determine a second score of the intermediate financial system corresponding to each modified node combination based on a modification time of each modified node combination; and the weighting calculation unit is used for carrying out weighting calculation on the first score and the second score, and determining a target financial system from the intermediate financial systems according to the result of the weighting calculation.
In an exemplary embodiment of the present disclosure, the combined modification time determining unit may be configured to determine a latest modification time among modification times of modification nodes of the modification node combination as the modification time of the modification node combination.
In one exemplary embodiment of the present disclosure, the test data acquisition module may include: the sample data acquisition unit is used for acquiring sample data to be tested; the to-be-evaluated data acquisition unit is used for respectively inputting the test sample data into each intermediate financial system to obtain to-be-evaluated data of each intermediate financial system; the financial system upgrade apparatus further includes: the reference data acquisition module is used for inputting the test sample data into the initial financial system to obtain reference data; and the target system determining module is used for determining a target financial system from the intermediate financial systems based on the difference value between the reference data and the data to be evaluated.
In one exemplary embodiment of the present disclosure, the plurality of modification nodes may include N modification nodes; the modification combination determining module may be configured to determine all modification node combinations including i modification nodes from the N modification nodes; wherein i is any natural number within [1, N ].
In one exemplary embodiment of the present disclosure, the location interval of each two of the plurality of modification nodes in the initial financial system exceeds a preset threshold.
According to one aspect of the present disclosure, there is provided an electronic device including: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to perform the method of any of the above via execution of the executable instructions.
According to one aspect of the present disclosure, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method of any one of the above.
Exemplary embodiments of the present disclosure have the following advantageous effects:
based on the above description, in the present exemplary embodiment, an initial financial system and a plurality of modification nodes thereof are acquired, a modification node combination is determined from the modification nodes, and an intermediate financial system corresponding to each modification node combination is determined, each intermediate financial system is tested, and a target financial system is determined therefrom according to test data. On the one hand, based on the test of the intermediate financial system corresponding to different modified node combinations, the optimal modified node combination condition can be screened out, and the optimal performance, the minimum bug, the most comprehensive functions and the like can be expressed, so that the optimal upgrading effect is realized, and the upgrading efficiency of the financial system is improved. On the other hand, when the modified node contains wrong modified content, the wrong modified node can be removed from the target financial system by reflecting the test data of the corresponding intermediate financial system, so that the upgrading accuracy is improved. In still another aspect, different intermediate financial systems are determined through various modification node combinations, various modification modes are provided for the financial systems, different upgrading requirements can be met, and flexibility of upgrading the financial systems is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure. It will be apparent to those of ordinary skill in the art that the drawings in the following description are merely examples of the disclosure and that other drawings may be derived from them without undue effort.
FIG. 1 schematically illustrates a flow chart of a method of upgrading a financial system in the present exemplary embodiment;
FIG. 2 schematically illustrates a sub-flowchart of a financial system upgrade method in the present exemplary embodiment;
fig. 3 schematically shows a block diagram of a financial system upgrade apparatus in the present exemplary embodiment;
fig. 4 schematically shows an electronic device for implementing the above method in the present exemplary embodiment;
fig. 5 schematically shows a computer readable storage medium for implementing the above method in the present exemplary embodiment.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments may be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
Exemplary embodiments of the present disclosure first provide a financial system upgrade method, in which a financial system may be a system used by an individual, an enterprise, or a government for performing financial decisions or performing financial data analysis, such as a payment App (Application), a banking App, a stock App, etc. The upgrade content of the financial system may be program code of the financial system, ip (Internet Protocal, network protocol) address, registry, snmp (Simple Network Management Protocol ) secure connection string, snmp port or snmp version, etc. The application scenario of the present exemplary embodiment may be: in order to release a new version of client system in an App store, a financial service manufacturer performs upgrade test on the client system to determine which version of the system is released; optimizing and updating index parameters of a financial system in a financial enterprise to determine which contents in the financial system can be updated and the like; the present disclosure is not particularly limited to application scenarios.
The following describes the present exemplary embodiment with reference to fig. 1, and as shown in fig. 1, the financial system upgrade method may include the following steps S110 to S140:
Step S110, an initial financial system is acquired, and a plurality of modification nodes for the initial financial system are acquired.
The initial financial system refers to a financial system before modification, and the modification node refers to a unit for modifying the initial financial system after editing is completed. Prior to step S110, the initial financial system may be pre-modified by a financial system manager, where all modified contents of the pre-modification are divided into units according to their content independence and relevance, i.e. modification nodes, typically one modification node corresponds to an independent modification purpose, for example, modification contents of the same bug (bug) repairing the initial financial system may be one modification node, and modification contents added with the same function in the initial financial system may be one modification node. In step S110, the modification node is a pre-modified content, which is not actually effective, but may be automatically generated by the system according to a preset repair mechanism or update mechanism, which is not particularly limited in this disclosure.
In an exemplary embodiment, the modification nodes may be divided according to the location of the modification content, for example, the location interval of each two modification nodes in the plurality of modification nodes in the initial financial system may be set to exceed a preset threshold. The preset threshold is a judgment standard for distinguishing different modified nodes, and can be the number of character strings, the number of characters or the number of code lines of the program codes in the initial financial system. For example, if a preset threshold value for the number of characters is set to 10, when counting from a certain modification node, modification contents of not more than 10 characters apart belong to the modification node, and modification contents of more than 10 characters belong to the next modification node.
Step S120, determining one or more modified node combinations from the plurality of modified nodes.
Based on the plurality of modified nodes obtained in step S110, one or more modified nodes may be selected therefrom to form a modified node combination. All the modification nodes are taken as a modification node set, the modification node combination can be regarded as a subset of the set, the modification node combination can be formed by randomly sampling from the modification node set, the modification node combination can be obtained by sampling according to a certain rule, for example, the number of the nodes in the modification node combination is regulated, the modification nodes are selected according to the number, and the like. The following description is given by way of example of specific embodiments for determining the modified node combination, and the scope of protection of the present disclosure is not limited by the following embodiments.
In an exemplary embodiment, the modifying nodes may be combined according to the type of modifying node. One solution is that if the types of several modification nodes are the same, these several modification nodes may be combined as one modification node, for example, when modifying program code, a plurality of modification nodes for deleting strings of the same type may be combined as one modification node, or a plurality of modification nodes for adding strings of the same type may be combined as one modification node, or the like. Another scheme is to select one of the modification nodes of each type, and combine the modification nodes of different types together to form modification node combinations, for example, each modification node combination may include a modification node of a bug repair class, a modification node of an add function class, a modification node of a page beautification class, and the like.
In an exemplary embodiment, if the plurality of modification nodes is N modification nodes; the modified node combinations may be determined by:
determining all modified node combinations comprising i modified nodes from the N modified nodes;
wherein i is any natural number within [1, N ].
In other words, in the present exemplary embodiment, it is possible to determine all of the modification node combinations including one modification node, all of the modification node combinations including two modification nodes, … …, all of the modification node combinations including N-1 modification nodes, and all of the modification node combinations including N modification nodes, respectively, from N modification nodes. I.e., traverse all possible combinations among the N modified nodes, including all single modified nodes, all two modified nodes, … …, and up to all modified nodes. For example, when there are three modification nodes a, b, c, seven modification node combinations "a", "b", "c", "ab", "ac", "bc", "abc" can be determined. The total number of modified node combinations can be calculated by the following formula:
where C is the combined symbol and N is the number of all modified nodes.
Step S130, determining an intermediate financial system corresponding to the modified node combination according to the modified node combination, and respectively obtaining test data of each intermediate financial system.
The financial system after the modification node combination takes effect is an intermediate financial system and can be regarded as a pending test system, and the plurality of modification node combinations correspond to a plurality of intermediate financial systems and can be regarded as a plurality of versions of test systems. It is necessary to determine which of the intermediate financial systems is the most appropriate system.
In step S130, each intermediate financial system may be tested to obtain test data of each intermediate financial system, where the test data may be used to evaluate each intermediate financial system, for example, the test data may be data of each intermediate financial system performing the same function test, data of a pressure test, result data of operating specific input data, error rate of test run, bug number, etc., and the present disclosure does not particularly limit a specific form of the test data.
Step S140, determining a target financial system from the intermediate financial systems based on the test data.
For different intermediate financial systems, different test data may be obtained after the test, the test data with the best result, such as the highest accuracy, the lowest error rate, the fastest response rate, etc., may be selected from the test data, and the intermediate financial system corresponding to the best test data is the optimal system, and the system may be used as the final modified financial system, that is, the target financial system. The target financial system can be used as a formal version system for release or actual application.
It should be noted that, the best test data may be determined according to various specific methods and criteria, for example, when the test data includes data of various indexes, the data of each index may be weighted, the test data weighted values of each intermediate financial system may be compared, or each intermediate financial system may be scored according to the data of each index, and the intermediate financial system with the highest total score may be calculated. The specific calculation method and standard are not particularly limited in this disclosure, and are related to the form and meaning of the test data.
In an exemplary embodiment, if a plurality of optimal intermediate financial systems are determined according to the test data, for example, the test data of the plurality of intermediate financial systems are the same, or the integrated test data is the same, one of the intermediate financial systems with the largest number of modified nodes (for example, in the case of adding a function as the main update content) may be selected, one with the smallest number (for example, in the case of repairing a bug as the main update content) may be selected, the plurality of intermediate financial systems may be simultaneously reserved, and the like.
In an exemplary embodiment, in step S130, a plurality of test standards may be adopted to test each intermediate financial system, so as to obtain a plurality of different types of test data; in step S140, different evaluation criteria are respectively adopted for each type of test data to determine a plurality of optimal intermediate financial systems. For example, a functional test and a bug test may be respectively adopted, and a system with the optimal function and a system with the least bug may be determined from the intermediate financial systems, and determined as a target financial system at the same time, so as to meet different system upgrading or updating requirements.
Based on the above description, in the present exemplary embodiment, an initial financial system and a plurality of modification nodes thereof are acquired, a modification node combination is determined from the modification nodes, and an intermediate financial system corresponding to each modification node combination is determined, each intermediate financial system is tested, and a target financial system is determined therefrom according to test data. On the one hand, based on the test of the intermediate financial system corresponding to different modified node combinations, the optimal modified node combination condition can be screened out, and the optimal performance, the minimum bug, the most comprehensive functions and the like can be expressed, so that the optimal upgrading effect is realized, and the upgrading efficiency of the financial system is improved. On the other hand, when the modified node contains wrong modified content, the wrong modified node can be removed from the target financial system by reflecting the test data of the corresponding intermediate financial system, so that the upgrading accuracy is improved. In still another aspect, different intermediate financial systems are determined through various modification node combinations, various modification modes are provided for the financial systems, different upgrading requirements can be met, and flexibility of upgrading the financial systems is improved.
In an exemplary embodiment, after step S120, the financial system upgrade method may further include the steps of:
Acquiring the modification time of each modification node;
determining the modification time of the modification node combination based on the modification time of the modification node in each modification node combination;
accordingly, step S140 may be implemented by:
and determining the target financial system from the intermediate financial systems according to the test data and the modification time of the modification node combination.
The modification time may be a time generated by each modification node in the financial system, may be a time when a financial system manager inputs modification contents of each modification node, or may be a time when each modification node takes effect in a test version of the financial system. In an exemplary embodiment, scripts may be embedded in the financial system that store modification content made by an administrator to various nodes of the financial system to a predetermined location, from which the modification content and corresponding modification time, etc. may be obtained in response to modification of the financial system. In the modified node combination, the modification time of each modified node may be different, and the modification time of the modified node combination may be determined in various manners, for example, the modification time of a modified node in the modified node combination is used as the modification time of the modified node combination as a standard, or the modification times of a plurality of modified nodes are calculated to obtain the modification time of the modified node combination, and the like.
In this embodiment, the target financial system may be determined together based on the test data and the modification time of the modification node combination. Specifically, a determination mechanism may be set, and when the modification time of the combination of the test data and the modification node of the intermediate financial system meets respective preset conditions, the intermediate financial system may be determined as the target financial system. Or establishing an operation relation between the test data of the intermediate financial system and the modification time of the modification node combination, obtaining an index value according to the operation relation, judging whether the index value meets a preset condition, and if so, determining the intermediate financial system as a target financial system. In addition, the modification time of the combination of the modification node and the test data of the intermediate financial systems can be judged successively, for example, the test data of a plurality of intermediate financial systems are firstly subjected to preset condition judgment, the intermediate financial system meeting the preset condition is selected, then the judgment of the preset condition of the modification time of the combination of the modification node is carried out, and if the condition is met again, the target financial system can be determined. The sequence of judging the modification time of the combination of the test data and the modification node of the intermediate financial system is not particularly required.
In an exemplary embodiment, based on the modification time of the modification node in each modification node combination, determining the modification time of the modification node combination may be achieved by:
the latest modification time in the modification times of the modification nodes of the modification node combination is determined as the modification time of the modification node combination.
The modification node combination is determined in various ways, in the modification node combination, in order to facilitate searching of modification content and reduce the utilization rate of system resources, the time of the modification node which is modified at the latest can be determined as the modification time of the modification node combination.
In other embodiments, the time of the modified node that is modified first may also be determined as the modification time of the modified node combination; the modification time of all the modification nodes can also be calculated, and the average value of the modification time is obtained as the modification time of the modification node combination, and the like.
In an exemplary embodiment, the determining the target financial system from the intermediate financial systems according to the test data and the modification time may include the steps of:
step S210, determining a first score of each intermediate financial system based on the test data;
step S220, determining a second score of the intermediate financial system corresponding to the modified node combination based on the modified time of each modified node combination;
In step S230, the first score and the second score are weighted, and the target financial system is determined from the intermediate financial systems according to the result of the weighted calculation.
The first score is a score representing the performance of the intermediate financial system, a score list can be set, the score corresponding to the first score is searched in the score list according to the test data, the test data can be calculated by using a specific formula to obtain the first score, and the like. The second score may be a score reflecting the modification time of the modification node combination, a score standard may be set for the modification time, a reference time is used as a standard, a time interval between each modification time and the reference time is counted, and a corresponding second score of each modification time is calculated according to the time interval, where the reference time may be a current time, a modification latest time, a modification earliest time, or a randomly set time. For example, if the earliest modification time is set as the reference time, the reference score is 0 minutes, and the time interval is increased by 10 minutes every time exceeds 60 minutes, the score of the latest modification time will be the highest score. The calculation result of the second score may be different depending on the reference time setting.
Taking into account the difference between the first score and the second score may affect the determination of the target financial system. Since the first score is related to the test data of the financial system and the second score is a statistical calculation of the time to upgrade the financial system, the first score may be more important in determining the target financial system than the second score. According to the analysis, the first fraction and the second fraction may be normalized to unify the basic measurement units, for example, a first fraction set a= { a of each intermediate financial system may be obtained according to the test data i }，i∈[1,m]And according to the modification time of each modification node combination, determining a second score set B= { B of the intermediate financial system corresponding to the modification node combination j }，j∈[1,n]The formula can then be used:and +.>Calculating a normalized first score a i ' and first score b j '. Further, by performing weighted calculation on the normalized first score and the normalized second score, the target financial system can be determined from the intermediate financial systems according to the calculation result. The first score and the second score weight value can be adjusted according to different importance, for example, when the modification time of the modification node combination is not different, the weight of the second score can be set smaller, and the weight of the first score is set larger; or the modification of the intermediate financial systems is similar, but when the modification time is larger, the weight of the first score can be set smaller, and the weight of the second score can be set larger.
In an exemplary embodiment, step S130 may include:
obtaining sample data;
respectively inputting the sample data to be tested into each intermediate financial system to obtain the data to be evaluated of each intermediate financial system;
the financial system upgrade method may further include:
inputting the sample data to an initial financial system to obtain reference data;
step S140 may include:
a target financial system is determined from the intermediate financial systems based on the difference between the reference data and the data to be evaluated.
After the financial system is determined, the required input data, namely the sample data, can be determined according to the test method of the system, and can be manually input, or can be automatically generated by the system, for example, after the system determines which input data is required, a random number is generated in the numerical range of the input data to serve as the sample data. The reference data is basic parameter data capable of representing the performance of the initial financial system, and the relation between the intermediate financial system and the initial financial system can be obtained through calculation of the data to be evaluated of each intermediate system and the reference data. Specifically, the target financial system may be determined by calculating the difference between each data to be evaluated and the reference data. In this embodiment, a difference judging mechanism may be set, and if the difference between the reference data and the data to be evaluated of a certain intermediate financial system meets a preset condition, the intermediate financial system may be judged as the target financial system.
The exemplary embodiment of the disclosure also provides a financial system upgrading device. Referring to fig. 3, the apparatus 300 may include a modification node acquisition module 310, a modification combination determination module 320, a test data acquisition module 330, and a target system determination module 440. The modified node obtaining module 310 is configured to obtain an initial financial system, and obtain a plurality of modified nodes for the initial financial system; the modification node combination determination module 320 is configured to determine one or more modification node combinations from a plurality of modification nodes; the test data obtaining module 330 is configured to determine an intermediate financial system corresponding to the modified node combination according to each modified node combination, and obtain test data of each intermediate financial system respectively; the target system determination module 340 is configured to determine a target financial system from among the intermediate financial systems based on the test data.
In an exemplary embodiment, the modification combination determination module may further include: the node modification time acquisition unit is used for acquiring the modification time of each modification node; a combination modification time determining unit, configured to determine a modification time of the modification node combination based on the modification time of the modification node in each modification node combination; the target system determination module includes: and the target financial system determining unit is used for determining the target financial system from the intermediate financial systems according to the test data and the modification time of the modification node combination.
In an exemplary embodiment, the target financial system determining unit may include: a first score determining unit for determining a first score of each intermediate financial system based on the test data; a second score determining unit, configured to determine a second score of the intermediate financial system corresponding to the modified node combination based on the modification time of each modified node combination; and the weighting calculation unit is used for carrying out weighting calculation on the first score and the second score, and determining a target financial system from the intermediate financial systems according to the result of the weighting calculation.
In an exemplary embodiment, the combined modification time determining unit may be configured to determine a latest modification time among modification times of modification nodes of the modification node combination as the modification time of the modification node combination.
In an exemplary embodiment, the test data acquisition module may include: the sample data acquisition unit is used for acquiring sample data to be tested; the to-be-evaluated data acquisition unit is used for respectively inputting the test sample data into each intermediate financial system to obtain to-be-evaluated data of each intermediate financial system; the financial system upgrade apparatus further includes: the reference data acquisition module is used for inputting the sample data to be measured into the initial financial system to obtain reference data; and the target system determining module is used for determining a target financial system from the intermediate financial systems based on the difference value between the reference data and the data to be evaluated.
In an exemplary embodiment, the plurality of modification nodes may include N modification nodes; the modification combination determining module may be configured to determine all modification node combinations including i modification nodes from the N modification nodes; wherein i is any natural number within [1, N ].
In an exemplary embodiment, each two of the plurality of modifying nodes are spaced apart by more than a preset threshold in the initial financial system.
The specific details of the above modules/units have been described in the corresponding method portion embodiments, and thus are not repeated here.
The exemplary embodiments of the present disclosure also provide an electronic device capable of implementing the above method.
Those skilled in the art will appreciate that the various aspects of the present disclosure may be implemented as a system, method, or program product. Accordingly, various aspects of the disclosure may be embodied in the following forms, namely: an entirely hardware embodiment, an entirely software embodiment (including firmware, micro-code, etc.) or an embodiment combining hardware and software aspects may be referred to herein as a "circuit," module "or" system.
An electronic device 400 according to such an exemplary embodiment of the present disclosure is described below with reference to fig. 4. The electronic device 400 shown in fig. 4 is merely an example and should not be construed to limit the functionality and scope of use of embodiments of the present disclosure in any way.
As shown in fig. 4, the electronic device 400 is embodied in the form of a general purpose computing device. The components of electronic device 400 may include, but are not limited to: the at least one processing unit 410, the at least one memory unit 420, a bus 430 connecting the different system components (including the memory unit 420 and the processing unit 410), and a display unit 440.
Wherein the storage unit stores program code that is executable by the processing unit 410 such that the processing unit 410 performs steps according to various exemplary embodiments of the present disclosure described in the above-described "exemplary methods" section of the present specification. For example, the processing unit 410 may execute steps S110 to S140 shown in fig. 1, may execute steps S210 to S230 shown in fig. 2, or the like.
The storage unit 420 may include readable media in the form of volatile storage units, such as Random Access Memory (RAM) 421 and/or cache memory 422, and may further include Read Only Memory (ROM) 423.
The storage unit 420 may also include a program/utility 424 having a set (at least one) of program modules 425, such program modules 425 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.
Bus 430 may be a local bus representing one or more of several types of bus structures including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or using any of a variety of bus architectures.
The electronic device 400 may also communicate with one or more external devices 600 (e.g., keyboard, pointing device, bluetooth device, etc.), one or more devices that enable a user to interact with the electronic device 400, and/or any device (e.g., router, modem, etc.) that enables the electronic device 400 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 450. Also, electronic device 400 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet, through network adapter 460. As shown, the network adapter 460 communicates with other modules of the electronic device 400 over the bus 430. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with electronic device 400, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solutions according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, including several instructions to cause a computing device (may be a personal computer, a server, a terminal device, or a network device, etc.) to perform the method according to the exemplary embodiments of the present disclosure.
Exemplary embodiments of the present disclosure also provide a computer readable storage medium having stored thereon a program product capable of implementing the method described above in the present specification. In some possible implementations, various aspects of the disclosure may also be implemented in the form of a program product comprising program code for causing a terminal device to carry out the steps according to the various exemplary embodiments of the disclosure as described in the "exemplary methods" section of this specification, when the program product is run on the terminal device.
Referring to fig. 5, a program product 500 for implementing the above-described method according to an exemplary embodiment of the present disclosure is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present disclosure is not limited thereto, and in this document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The computer readable signal medium may include a data signal propagated in baseband or as part of a carrier wave with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).
Furthermore, the above-described figures are only schematic illustrations of processes included in the method according to the exemplary embodiments of the present disclosure, and are not intended to be limiting. It will be readily appreciated that the processes shown in the above figures do not indicate or limit the temporal order of these processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, for example, among a plurality of modules.
It should be noted that although in the above detailed description several modules or units of a device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit in accordance with exemplary embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into a plurality of modules or units to be embodied.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (6)
1. A method of upgrading a financial system, comprising:
acquiring an initial financial system and acquiring a plurality of modification nodes for the initial financial system;
determining one or more modified node combinations from the plurality of modified nodes;
determining an intermediate financial system corresponding to the modified node combination according to the modified node combination, and respectively acquiring test data of the intermediate financial system;
determining a target financial system from the intermediate financial systems based on the test data;
after said determining one or more modified node combinations from said plurality of modified nodes, the method further comprises:
acquiring the modification time of each modification node;
determining the modification time of the modification node combination based on the modification time of the modification node in each modification node combination; the determining the modification time of the modification node combination based on the modification time of the modification node in each modification node combination comprises: determining the latest modification time in the modification time of the modification nodes of the modification node combination as the modification time of the modification node combination;
The determining a target financial system from the intermediate financial systems based on the test data includes:
determining a target financial system from the intermediate financial systems according to the test data and the modification time of the modification node combination;
the determining a target financial system from the intermediate financial systems according to the test data and the modification time comprises: determining a first score for each of the intermediate financial systems based on the test data, the first score being a score representing performance of the intermediate financial system; determining a second score of the intermediate financial system corresponding to each modified node combination based on the modified time of the modified node combination, wherein the second score is a score reflecting the modified time of the modified node combination; performing weighted calculation on the first score and the second score, and determining a target financial system from the intermediate financial systems according to the weighted calculation result;
determining the intermediate financial system corresponding to the modified node combination according to the modified node combination, and respectively acquiring the test data of the intermediate financial system comprises the following steps:
obtaining sample data;
Respectively inputting the test sample data into each intermediate financial system to obtain to-be-evaluated data of each intermediate financial system;
the method further comprises the steps of:
inputting the sample data into the initial financial system to obtain reference data;
the determining a target financial system from the intermediate financial systems based on the test data includes:
a target financial system is determined from the intermediate financial systems based on the difference between the reference data and the data to be evaluated.
2. The method of claim 1, wherein the plurality of modifying nodes comprises N modifying nodes; the determining one or more modified node combinations from the plurality of modified nodes includes:
determining all modification node combinations comprising i modification nodes from the N modification nodes;
wherein i is any natural number within [1, N ].
3. The method of claim 1, wherein each two of the plurality of modifying nodes are spaced apart in the initial financial system by more than a predetermined threshold.
4. A financial system upgrade apparatus, comprising:
the system comprises a modification node acquisition module, a modification node generation module and a modification node generation module, wherein the modification node acquisition module is used for acquiring an initial financial system and acquiring a plurality of modification nodes aiming at the initial financial system;
A modification combination determination module configured to determine one or more modification node combinations from the plurality of modification nodes;
the test data acquisition module is used for determining an intermediate financial system corresponding to the modified node combination according to the modified node combination and respectively acquiring test data of the intermediate financial system;
a target system determination module configured to determine a target financial system from the intermediate financial systems based on the test data;
the apparatus is further configured to:
after one or more modification node combinations are determined from the plurality of modification nodes, modification time of each modification node is obtained;
determining the modification time of the modification node combination based on the modification time of the modification node in each modification node combination; the method further includes determining a modification time of the modification node combination based on the modification time of the modification node in each modification node combination, and the modification time is configured to: determining the latest modification time in the modification time of the modification nodes of the modification node combination as the modification time of the modification node combination;
the determining, based on the test data, a target financial system from the intermediate financial systems, configured to:
Determining a target financial system from the intermediate financial systems according to the test data and the modification time of the modification node combination;
the determining a target financial system from the intermediate financial systems according to the test data and the modification time is configured to: determining a first score for each of the intermediate financial systems based on the test data, the first score being a score representing performance of the intermediate financial system; determining a second score of the intermediate financial system corresponding to each modified node combination based on the modified time of the modified node combination, wherein the second score is a score reflecting the modified time of the modified node combination; performing weighted calculation on the first score and the second score, and determining a target financial system from the intermediate financial systems according to the weighted calculation result;
a test data acquisition module configured to:
obtaining sample data;
respectively inputting the test sample data into each intermediate financial system to obtain to-be-evaluated data of each intermediate financial system;
the apparatus is further configured to:
inputting the sample data into the initial financial system to obtain reference data;
A target system determination module configured to:
a target financial system is determined from the intermediate financial systems based on the difference between the reference data and the data to be evaluated.
5. An electronic device, comprising:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the method of any of claims 1-3 via execution of the executable instructions.
6. 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 method of any of claims 1-3.
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