CN112598420A - On-line regression verification method and device - Google Patents
On-line regression verification method and device Download PDFInfo
- Publication number
- CN112598420A CN112598420A CN202011322492.8A CN202011322492A CN112598420A CN 112598420 A CN112598420 A CN 112598420A CN 202011322492 A CN202011322492 A CN 202011322492A CN 112598420 A CN112598420 A CN 112598420A
- Authority
- CN
- China
- Prior art keywords
- link
- verified
- data
- regression verification
- online
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000012795 verification Methods 0.000 title claims abstract description 153
- 238000000034 method Methods 0.000 title claims abstract description 85
- 230000003993 interaction Effects 0.000 claims abstract description 50
- 230000008569 process Effects 0.000 claims abstract description 22
- 230000002452 interceptive effect Effects 0.000 claims description 90
- 238000012545 processing Methods 0.000 claims description 14
- 238000004590 computer program Methods 0.000 claims description 10
- 238000001914 filtration Methods 0.000 claims description 7
- 230000004044 response Effects 0.000 claims description 7
- 238000012797 qualification Methods 0.000 description 7
- 238000012360 testing method Methods 0.000 description 6
- 238000004891 communication Methods 0.000 description 5
- 230000002159 abnormal effect Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 238000003672 processing method Methods 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- 230000009471 action Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000029305 taxis Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/38—Payment protocols; Details thereof
- G06Q20/40—Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check credit lines or negative lists
- G06Q20/401—Transaction verification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/16—Real estate
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Accounting & Taxation (AREA)
- Theoretical Computer Science (AREA)
- Tourism & Hospitality (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Marketing (AREA)
- Human Resources & Organizations (AREA)
- General Health & Medical Sciences (AREA)
- Computer Security & Cryptography (AREA)
- Economics (AREA)
- Finance (AREA)
- Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides an online regression verification method and device, which are realized by a first type of virtual area obtained by configuring a virtual area instead of a real area during online regression verification, so that the transaction logics of different areas can be verified by simulating the configuration logics of the real area through the first type of virtual area. The online regression verification method adopting the configuration virtual area can be understood as a bypass online regression verification method compared with an online normal project, so that the interaction process of the normal project is not influenced, and the regression link can be ensured to be an online real environment. Moreover, the configured virtual area and the real area are independent, so that online problems can be found as soon as possible, and the problem is prevented from being exposed to a user to influence user experience.
Description
Technical Field
The invention relates to the technical field of product transaction, in particular to an online regression verification method and device.
Background
For the house property transaction system, different cities have different transaction flows, even the transaction flows of all money and loan of one city are not completely the same, and the transaction amounts of the house property are relatively large, so that the real transaction can not be carried out on line through the online environment to test the transaction flow in the transaction system like fast-moving e-commerce products, and therefore, the problem that how to test the transaction flow of a house property item in the transaction system after the house property item is online is urgently needed to be solved.
At present, the main testing method is that when a real transaction list is generated on line, a worker observes various flows related to the real transaction list and whether corresponding result information is normal or not on line, so that manual operation errors are introduced, and when the user carries out transaction through a transaction system, problems caused by inaccurate manual offline testing results and the like are easily exposed to the user, so that the user has poor experience.
Disclosure of Invention
The invention provides an online regression verification method and device, which are used for overcoming the defects in the prior art.
The invention provides an online regression verification method, which comprises the following steps:
determining a link to be verified of a project to be verified, and judging the type of the link to be verified;
if the link to be verified is a first-class link, performing online regression verification on the link to be verified based on a first-class virtual area and associated data of an associated system associated with the link to be verified;
the first-class links are links corresponding to a standard area, and the first-class virtual area is obtained based on the interactive model configuration corresponding to the standard area.
The invention provides an online regression verification method, which further comprises the following steps:
if the link to be verified is a second-class link, performing online regression verification on the link to be verified based on a second-class virtual area and the associated data;
the second type of link is a link other than the first type of link, and the second type of virtual area is configured and obtained based on configuration information of a target area to which the item to be verified belongs.
The invention provides an online regression verification method, wherein an interaction model is constructed based on the following method:
determining links of the target items in at least one area based on the processes of the target items in the same category as the items to be verified in at least one area in a preset range;
and taking the intersection of links of the target project in different areas as links contained in the interaction model.
The invention provides an online regression verification method, which is used for performing online regression verification on a link to be verified based on a first-class virtual area and associated data of an associated system associated with the link to be verified, and specifically comprises the following steps:
constructing entry data of the first type of virtual area based on the association data of the association system, and transmitting the entry data to an interactive system;
and performing online regression verification on the link to be verified in the interactive system based on a preset virtual account and the entry data.
The invention provides an online regression verification method, which is used for performing online regression verification on a link to be verified based on a preset virtual account and entry data, and specifically comprises the following steps:
determining interactive data between a first type of association system in the association systems and the interactive system, and performing mock processing on a second type of association system in the association systems;
and performing online regression verification on the link to be verified in the interactive system based on the preset virtual account, the entry data and the interactive data.
The invention provides an online regression verification method, wherein mock processing is performed on a second type of association system in the association systems, and the mock processing method specifically comprises the following steps:
and filtering the target data sent to the second type of association system by the interactive system, or printing a log based on the target data sent to the second type of association system by the interactive system, and directly returning response data corresponding to the target data to the interactive system.
According to the on-line regression verification method provided by the invention, the on-line regression verification is carried out on the link to be verified based on the first-class virtual area and the associated data of the associated system associated with the link to be verified, and then the method further comprises the following steps:
and deleting data related to the first type of virtual area in the statistical data of the interactive system, and re-determining the statistical data.
The invention also provides an online regression verification device, comprising: a link determination module and a regression verification module. Wherein the content of the first and second substances,
the link determining module is used for determining a link to be verified of the project to be verified and judging the type of the link to be verified;
the regression verification module is used for performing online regression verification on the link to be verified based on a first-class virtual area and associated data of an associated system associated with the link to be verified if the link to be verified is a first-class link;
the first-class links are links corresponding to a standard area, and the first-class virtual area is obtained based on the interactive model configuration corresponding to the standard area.
According to the present invention, there is provided an online regression verification apparatus, wherein the regression verification module is further configured to:
if the link to be verified is a second-class link, performing online regression verification on the link to be verified based on a second-class virtual area and the associated data;
the second type of link is a link other than the first type of link, and the second type of virtual area is configured and obtained based on configuration information of a target area to which the item to be verified belongs.
The invention provides an online regression verification device, further comprising an interaction model determination module, configured to:
determining links of the target items in at least one area based on the processes of the target items in the same category as the items to be verified in at least one area in a preset range;
and taking the intersection of links of the target project in different areas as links contained in the interaction model.
According to the present invention, there is provided an online regression verification apparatus, wherein the regression verification module is specifically configured to:
constructing entry data of the first type of virtual area based on the association data of the association system, and transmitting the entry data to an interactive system;
and performing online regression verification on the link to be verified in the interactive system based on a preset virtual account and the entry data.
According to the present invention, there is provided an online regression verification apparatus, wherein the regression verification module is specifically configured to:
determining interactive data between a first type of association system in the association systems and the interactive system, and performing mock processing on a second type of association system in the association systems;
and performing online regression verification on the link to be verified in the interactive system based on the preset virtual account, the entry data and the interactive data.
According to the present invention, there is provided an online regression verification apparatus, wherein the regression verification module is specifically configured to:
and filtering the target data sent to the second type of association system by the interactive system, or printing a log based on the target data sent to the second type of association system by the interactive system, and directly returning response data corresponding to the target data to the interactive system.
The invention provides an online regression verification device, further comprising a statistical data re-determination module, configured to:
and deleting data related to the first type of virtual area in the statistical data of the interactive system, and re-determining the statistical data.
The invention also provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to realize the steps of any one of the above online regression verification methods.
The present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the online regression verification method as any one of the above.
According to the online regression verification method and device provided by the invention, when online regression verification is carried out, operation is not carried out by adopting a real area, but the online regression verification is realized by the first type of virtual area obtained by configuring the virtual area, so that the verification of the transaction logics of different areas can be realized by simulating the configuration logics of the real area through the first type of virtual area. The online regression verification method adopting the configuration virtual area can be understood as a bypass online regression verification method compared with an online normal project, so that the interaction process of the normal project is not influenced, and the regression link can be ensured to be an online real environment. Moreover, the configured virtual area and the real area are independent, so that online problems can be found as soon as possible, and the problem is prevented from being exposed to a user to influence user experience.
Drawings
In order to more clearly illustrate the technical solutions of the present invention or the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic flow chart of an online regression verification method provided by the present invention;
FIG. 2 is a schematic flow diagram of an online transaction provided by the present invention;
FIG. 3 is a schematic structural diagram of an online regression verification apparatus according to the present invention;
fig. 4 is a schematic structural diagram of an electronic device provided in the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
At present, aiming at a transaction process in a transaction system after a real-estate project is online, a main testing method is that when a real transaction sheet aiming at the real-estate project is generated online, workers can observe various processes related to the real transaction sheet and whether corresponding result information is normal or not online, so that manual operation errors are introduced, and when a user transacts through the transaction system, problems caused by inaccurate manual offline testing results and the like are easily exposed to the user, so that the user has very poor experience. Therefore, the embodiment of the invention provides an online regression verification method which can be applied to a transaction system to solve the technical problems in the prior art.
Fig. 1 is a schematic flow chart of an online regression verification method provided in an embodiment of the present invention, as shown in fig. 1, the method includes:
s1, determining a link to be verified of the project to be verified, and judging the type of the link to be verified;
s2, if the link to be verified is a first-class link, performing online regression verification on the link to be verified based on a first-class virtual area and associated data of an associated system associated with the link to be verified;
the first-class links are links corresponding to a standard area, and the first-class virtual area is obtained based on the interactive model configuration corresponding to the standard area.
Specifically, in the online regression verification method provided in the embodiment of the present invention, the execution subject is an online regression verification device, and the online regression verification method can be implemented by a server, where the server specifically includes a local server and a cloud server, and the local server may be a computer, and the like. The online regression verification method can be applied to an interactive system involving at least two-party interaction, where the interaction refers to information transmission, feedback, and the like between two or more parties, such as a transaction involving at least two parties. Such a transaction may be a real estate transaction or the like. The interactive system is a system for assisting in interacting with a target object, and the interactive system may be configured with an interactive process for the target object and related information of each interactive node in the interactive process. The interaction with other systems involved in the interaction process can be realized through the interaction system. The target object may be a property, which may be a new house or a second-hand house, and other goods, and the like, which is not specifically limited in the embodiment of the present invention. In particular, the interactive system may particularly be a transaction system for assisting in performing a target object transaction. The transaction system may be configured with a transaction flow for the target object, and related information of each transaction node in the transaction flow. Interaction with other systems involved in the transaction flow can also be achieved through the transaction system.
Step S1 is performed first. The item to be verified refers to an item needing on-line regression verification, the interactive process of the item to be verified can be realized on an interactive system, and the interactive process comprises a plurality of interactive links. In different areas, the types of interaction links included in the interaction flow of the item to be verified may be different, which may lead to different methods for performing online regression verification on different types of interaction links. For example, for a real estate transaction scenario, the item to be verified may be a new room item or a second-hand room transaction item within the target area. The target area may be obtained by dividing a city as a standard, and each target area may correspond to a city. The method comprises the steps of firstly determining a transaction link to be verified in a transaction process of a project to be verified, wherein the transaction process can be verifying the transaction qualification, signing a contract, signing a network label, paying tax, checking the qualification of the user who passes the household and the like if the project to be verified is a second-hand house transaction project in the city A, and the transaction process can be verifying the transaction qualification, signing the contract, signing the network label, paying tax, passing the household, checking the qualification of the user who passes the household and the like if the project to be verified is a second-hand house transaction project in the city B.
Therefore, in step S1, it is necessary to determine the link to be verified of the item to be verified, and determine the type of the link to be verified. The link to be verified may be any one link involved in the interaction flow, may also be multiple links or all links involved in the whole interaction flow, and may be specifically selected according to needs, which is not specifically limited in the embodiment of the present invention.
The type of the link to be verified may include a first type link and a second type link, the first type link may be a link corresponding to the standard area, and the second type link may be a link other than the first type link. The standard area is not a real area but a virtual area, and links corresponding to the standard area refer to basic links included in items having the same category as the item to be verified in all real areas of the target range. That is, the first category links are indispensable important links in the interaction flow of all the items of the same category. The target area may be nationwide and all areas may be cities nationwide, for example, for a second-hand house transaction project, the first category of links may include basic links such as auditing trade qualifications, contracting, net signing, paying taxes, and passing a house.
Next, step S2 is performed. If the link to be verified belongs to the first-class transaction link, performing online regression verification on the transaction link to be verified according to the first-class virtual region obtained by the configuration system based on the interaction model corresponding to the standard region and the associated data of the associated system associated with the link to be verified. The interaction model corresponding to the standard area is an interaction model comprising all the first-class links, and the first-class virtual area obtained by the configuration system through the interaction model corresponding to the standard area can be suitable for verifying the same-class items in all the areas. Taking the area as a city and under a house property transaction scene as an example, the interaction model corresponding to the standard area is a standard city transaction model, the interaction system is a transaction system, and the first type of virtual area is obtained by configuring the virtual city by the configuration system according to the standard city transaction model. The virtual area is not a real area but an area which is virtualized for project verification, and the virtual area is configured correspondingly to simulate the real area. The association system associated with the link to be verified may be an association system involved in the transaction flow of the item to be verified, such as a buyer system (i.e. customer source system), a house source system, a contract system, a banking system, and the like. The association data of the association system may be data stored in the association system, and may also include interaction data of the association system and the transaction system, which is not specifically limited in the embodiment of the present invention.
In the embodiment of the invention, the online regression verification means that after a project is online, whether the online verification project can be interacted normally or not is judged, and whether an abnormal condition or interaction failure phenomenon occurs or not is judged, if the interaction flow is normal, the to-be-verified project can be interacted normally in an interactive system, otherwise, if the abnormal condition or interaction failure phenomenon occurs, the to-be-verified project cannot be interacted normally in the interactive system at present, and the configuration information of the region where the to-be-verified project is located in the interactive system needs to be checked and updated manually, so that the reason for the phenomenon is eliminated. When the online regression verification is performed on the link to be verified, the online regression verification is specifically realized on the interactive system, that is, the project to be verified is executed once in the interactive system so as to check whether an error occurs in the execution process. Specifically, the virtual area may be embedded into the interactive system in advance, then the configuration system configures the virtual area through an interactive model corresponding to the standard area to obtain a first-class virtual area, selects an interaction location in the interactive system as the first-class virtual area, executes a link to be verified of the project to be verified, and combines the associated data to realize the online regression verification.
Taking the region as a city and under a house property transaction scene as an example, the online regression verification specifically can embed a virtual region into a transaction system in advance, then the configuration system configures the virtual region through a standard region transaction model to obtain a first type of virtual region, selects a transaction location in the transaction system as the first type of virtual region, executes a transaction link to be verified of a project to be verified, and combines associated data to realize the online regression verification. The online regression verification means that after a project is online, whether the project can be normally transacted is verified online, whether an abnormal condition or a transaction failure phenomenon occurs or not is judged, if the transaction flow is normal, the project to be verified can be normally transacted in the transaction system, otherwise, if the abnormal condition or the transaction failure phenomenon occurs, the project to be verified can not be normally transacted in the transaction system at present, and the configuration information of the region where the project to be verified is located in the transaction system needs to be manually checked and updated to eliminate the reason for the phenomenon.
According to the online regression verification method provided by the embodiment of the invention, when online regression verification is carried out, operation is not carried out by adopting a real area, but the online regression verification is realized by configuring the first type of virtual area obtained by configuring the virtual area, so that the configuration logic of the real area can be simulated by the first type of virtual area to verify the transaction logic of different areas. The online regression verification method adopting the configuration virtual area can be understood as a bypass online regression verification method compared with an online normal project, so that the transaction flow of the normal project is not affected, and the regression link can be ensured to be an online real environment. Moreover, the configured virtual area and the real area are independent, so that online problems can be found as soon as possible, and the problem is prevented from being exposed to a user to influence user experience.
On the basis of the above embodiment, the online regression verification method provided in the embodiment of the present invention further includes:
if the link to be verified is a second-class link, performing online regression verification on the link to be verified based on a second-class virtual area and the associated data;
the second type of link is a link other than the first type of link, and the second type of virtual area is configured and obtained based on configuration information of a target area to which the item to be verified belongs.
Specifically, the type of the link to be verified is a second type of link, the second type of link may be other non-basic links except the first type of link, and the second type of link is a special link, that is, the interaction flow of the items of the same type in all the areas in which the target range is not included includes the second type of link. For example, for second-hand house transaction items in a real estate, the transaction flow of the second-hand house transaction items in a city does not include a link for checking the qualification of the user, while the transaction flow of the second-hand house transaction items in a city B includes the link. Therefore, the link of checking the qualification of the past household is the second type of transaction link.
And if the link to be verified is a second-class link, the configuration system performs online regression verification on the link to be verified according to a second-class virtual area obtained by configuration of the configuration information of the target area to which the project to be verified belongs and associated data of an associated system associated with the link to be verified. The second type of virtual area may be specifically obtained by the configuration system by copying the configuration information of the target area to the virtual area in the interactive system to implement configuration of the virtual area. And selecting an interaction place as a second type virtual area in the interaction system, executing a link to be verified of the project to be verified, and combining the associated data to realize on-line regression verification.
The online regression verification method provided by the embodiment of the invention provides the online regression verification method when the link to be verified is the second link, and the online regression verification is realized by the second virtual area obtained by configuring the virtual area instead of the real area, so that the transaction logics of different areas can be verified by simulating the configuration logics of the real area through the second virtual area. The online regression verification method adopting the configuration virtual area can be understood as a bypass online regression verification method compared with an online normal project, so that the transaction flow of the normal project is not affected, and the regression link can be ensured to be an online real environment. Moreover, the configured virtual area and the real area are independent, so that online problems can be found as soon as possible, and the problem is prevented from being exposed to a user to influence user experience.
On the basis of the above embodiment, in the online regression verification method provided in the embodiment of the present invention, the interaction model is determined based on the following method:
determining links of the target items in at least one area based on the processes of the target items in the same category as the items to be verified in at least one area in a preset range;
and taking the intersection of links of the target project in different areas as links contained in the interaction model.
Specifically, in the embodiment of the present invention, when constructing the interaction model corresponding to the standard region, first, a target item in the same category as the item to be verified in at least one region in the preset range may be determined. For example, taking the example that the preset range includes a plurality of areas and the item to be verified is a second-hand-room transaction item, each second-hand-room transaction item in one or more areas in the preset range may be used as a target item. And then determining the transaction flow of the target item, and further determining a link of the target item, wherein the determined link refers to a necessary flow node in the interaction flow of the target item. And finally, forming an interaction model corresponding to the standard area according to the intersection of links of the target items in different areas, and directly taking the intersection of the links of the target items in different areas as links contained in the interaction model to obtain the interaction model corresponding to the standard area. Links which generate differences among different areas can be removed by determining an intersection, all links contained in the intersection are first-class links, and an interaction model corresponding to a standard area can be constructed according to all the first-class links.
The embodiment of the invention provides a method for determining an interaction model corresponding to a standard area, and links generating differences among different areas can be removed by determining the intersection of links of target items in different areas. And the online regression verification of the link to be verified with the attribute of the first-class link can be realized through the established interactive model corresponding to the standard area.
On the basis of the above embodiment, the performing online regression verification on the link to be verified based on the first-class virtual area and the associated data of the associated system associated with the link to be verified specifically includes:
constructing entry data of the first type of virtual area based on the association data of the association system, and transmitting the entry data to an interactive system;
and performing online regression verification on the link to be verified in the interactive system based on a preset virtual account and the entry data.
Specifically, when performing online regression verification, the data construction system may first construct the entry data of the first type of virtual area according to the association data of the association system. The entry data may be the opening data of the interactive process of the item to be verified, or may be determined according to the data after the previous link of the link to be verified is finished. For example, in a real estate transaction scenario, the entry data may be contract data or other data, which is not specifically limited in this embodiment of the present invention. After the entry data is determined, the entry data needs to be transmitted to the transaction system to initialize the transaction flow of the item to be verified in the target area in the transaction system, and the entry data can specifically enter the transaction system through a message mechanism.
In a house property trading scene, in order to avoid money trading caused by online regression verification through a real account number and increase complexity and insecurity of a verification process, a virtual account number can be created in advance in an authority system, and the virtual account number can comprise a virtual broker, a virtual trading specialist and the like. In order to ensure that the verification scene of the virtual account is not limited, the virtual account needs to be ensured to be in a communication state in the association systems of the transaction system, that is, the virtual account is available in each association system. In order to simulate a real scene more truly and avoid the mutual influence of the online regression verification work among different areas, the preset virtual account numbers corresponding to the different areas can not have the authority of other areas, that is, the online regression verification can not be performed on the transaction links to be verified in the items to be verified of the items in other areas.
And finally, logging in the virtual account number in the transaction system, and performing online regression verification on the transaction link to be verified through entry data in a first-class virtual area of the transaction system.
In the embodiment of the invention, online regression verification is realized by logging in the transaction system through the virtual account number, and the online regression verification can be further used for distinguishing the transaction action of the real account number, so that whether the current transaction system is in a real area or a virtual area is further distinguished.
On the basis of the above embodiment, the performing online regression verification on the link to be verified based on the preset virtual account and the entry data specifically includes:
determining interactive data between a first type of association system in the association systems and the interactive system, and performing mock processing on a second type of association system in the association systems;
and performing online regression verification on the link to be verified in the interactive system based on the preset virtual account, the entry data and the interactive data.
Specifically, in a real estate transaction scenario, when performing online regression verification according to a preset virtual account number and entry data, the interactive data between a first type of association system in the association system and the transaction system may be determined first, where the first type of association system refers to an association system that needs to perform online regression verification, such as a customer source system, a real estate source system, and a contract system. Therefore, the interaction data of the first type of association system and the transaction system needs to be determined in the online regression verification process.
There is also a second category of correlation systems, i.e. systems that do not require on-line regression verification, such as banking systems. If the bank system is subjected to online regression verification, the traffic of the bank system may be increased. Therefore, mock processing needs to be performed on the second type of association system, that is, the transaction system and the bank system do not really interact with each other, but the interaction relationship between the transaction system and the bank system is simulated, and the interaction data is processed. For example, processing operations such as filtering the interactive data are performed.
By logging in the virtual account number in the transaction system, the online regression verification of the transaction link to be verified can be started through the entry data in the first-class virtual area of the transaction system, and the online regression verification of the first-class association system of the transaction link to be verified can be performed through the interaction data.
In the embodiment of the invention, only the correlation system which needs to be subjected to the online regression verification is subjected to the online regression verification, so that the verification time can be greatly shortened, and the verification efficiency is improved.
On the basis of the foregoing embodiment, the performing mock processing on the second type of association system in the association systems specifically includes:
and filtering the target data sent to the second type of association system by the interactive system, or printing a log based on the target data sent to the second type of association system by the interactive system, and directly returning response data corresponding to the target data to the interactive system.
Specifically, the specific mode of mock processing in the embodiment of the present invention may be any one of the following two modes: 1) filtering the target data sent by the interactive system to the second type of associated system, namely directly ignoring the target data or deleting the target data; 2) and printing a log based on the target data sent to the second type of association system by the interactive system, and directly returning response data corresponding to the target data to the interactive system. While the 1) processing method only sends target data but does not receive feedback, the 2) processing method directly generates interaction between the interactive system and the mock processing module, and the interactive system can receive feedback, which may be response data made for the target data.
The embodiment of the invention provides two specific implementation modes of mock processing, so that the online regression verification method of the interactive system has feasibility. Moreover, the verification time can be greatly shortened, and the verification efficiency is improved.
On the basis of the above embodiment, the performing online regression verification on the link to be verified based on the first type of virtual area and the associated data of the associated system associated with the link to be verified further includes:
and deleting data related to the first type of virtual area in the statistical data of the interactive system, and re-determining the statistical data.
Specifically, the statistical data of the interactive system, for example, the statistical data of the transaction system, such as the volume of the transaction, are displayed to the user. In order to avoid the influence of the data generated in the online regression verification process on the statistical data of the transaction system, when the transaction node to be verified is the first-type transaction node, the data related to the first-type virtual area in the statistical data of the transaction system can be deleted, and the statistical data can be determined again. When the transaction node to be verified is the second type transaction node, the data related to the second type virtual area in the statistical data of the transaction system can be deleted, and the statistical data can be determined again, so that the authenticity and the accuracy of the statistical data of the transaction system can be ensured, and a user can know the truest information.
Based on the above embodiments, fig. 2 is a schematic flow chart of online transaction provided in the embodiments of the present invention. As shown in fig. 2, firstly, entry data is constructed, if it is detected that an account logs in a transaction system, it is determined whether the logged account is a virtual account, if so, online regression verification is performed according to the virtual account and the entry data, after the verification is finished, historical configuration data of a virtual area can be deleted, and the virtual area is initialized and configured as a first-type virtual area. If the logged account is judged not to be the virtual account, the logged account is a real account, and online regression verification is not performed.
As shown in fig. 3, on the basis of the above embodiment, an embodiment of the present invention provides an online regression verification apparatus, including: a link determination module 31 and a regression verification module 32. Wherein the content of the first and second substances,
the link determining module 31 is configured to determine a link to be verified of the item to be verified, and determine the type of the link to be verified;
the regression verification module 32 is configured to perform online regression verification on the link to be verified based on the first-class virtual area and the associated data of the associated system associated with the link to be verified if the link to be verified is the first-class link;
the first-class links are links corresponding to a standard area, and the first-class virtual area is obtained based on the interactive model configuration corresponding to the standard area.
Specifically, the functions of the modules in the online regression verification apparatus provided in the embodiment of the present invention correspond to the operation flows of the steps in the embodiments of the methods one to one, and the implementation effects are also consistent.
On the basis of the above embodiment, the regression verification module is further configured to:
if the link to be verified is a second-class link, performing online regression verification on the link to be verified based on a second-class virtual area and the associated data;
the second type of link is a link other than the first type of link, and the second type of virtual area is configured and obtained based on configuration information of a target area to which the item to be verified belongs.
On the basis of the above embodiment, the method further includes a building module, configured to determine the interaction model based on the following method:
determining links of the target items in at least one area based on the processes of the target items in the same category as the items to be verified in at least one area in a preset range;
and taking the intersection of links of the target project in different areas as links contained in the interaction model.
On the basis of the foregoing embodiment, the regression verification module is specifically configured to:
constructing entry data of the first type of virtual area based on the association data of the association system, and transmitting the entry data to an interactive system;
and performing online regression verification on the link to be verified in the interactive system based on a preset virtual account and the entry data.
On the basis of the foregoing embodiment, the regression verification module is specifically configured to:
determining interactive data between a first type of association system in the association systems and the interactive system, and performing mock processing on a second type of association system in the association systems;
and performing online regression verification on the link to be verified in the interactive system based on the preset virtual account, the entry data and the interactive data.
On the basis of the foregoing embodiment, the regression verification module is specifically configured to:
and filtering the target data sent to the second type of association system by the interactive system, or printing a log based on the target data sent to the second type of association system by the interactive system, and directly returning response data corresponding to the target data to the interactive system.
On the basis of the above embodiment, the system further includes a data processing module, configured to:
and deleting data related to the first type of virtual area in the statistical data of the interactive system, and re-determining the statistical data.
Fig. 4 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 4: a processor (processor)410, a communication Interface 420, a memory (memory)430 and a communication bus 440, wherein the processor 410, the communication Interface 420 and the memory 430 are communicated with each other via the communication bus 440. Processor 410 may invoke logic instructions in memory 430 to perform an online regression verification method comprising: determining a link to be verified of a project to be verified, and judging the type of the link to be verified; if the link to be verified is a first-class link, performing online regression verification on the link to be verified based on a first-class virtual area and associated data of an associated system associated with the link to be verified; the first-class links are links corresponding to a standard area, and the first-class virtual area is obtained based on the interactive model configuration corresponding to the standard area.
In addition, the logic instructions in the memory 430 may be implemented in the form of software functional units and stored in a computer readable storage medium when the software functional units are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In another aspect, the present invention also provides a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, enable the computer to perform the online regression verification method provided by the above methods, the method comprising: determining a link to be verified of a project to be verified, and judging the type of the link to be verified; if the link to be verified is a first-class link, performing online regression verification on the link to be verified based on a first-class virtual area and associated data of an associated system associated with the link to be verified; the first-class links are links corresponding to a standard area, and the first-class virtual area is obtained based on the interactive model configuration corresponding to the standard area.
In yet another aspect, the present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program, which when executed by a processor is implemented to perform the above-provided online regression verification method, the method comprising: determining a link to be verified of a project to be verified, and judging the type of the link to be verified; if the link to be verified is a first-class link, performing online regression verification on the link to be verified based on a first-class virtual area and associated data of an associated system associated with the link to be verified; the first-class links are links corresponding to a standard area, and the first-class virtual area is obtained based on the interactive model configuration corresponding to the standard area.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. An online regression verification method, comprising:
determining a link to be verified of a project to be verified, and judging the type of the link to be verified;
if the link to be verified is a first-class link, performing online regression verification on the link to be verified based on a first-class virtual area and associated data of an associated system associated with the link to be verified;
the first-class links are links corresponding to a standard area, and the first-class virtual area is obtained based on the interactive model configuration corresponding to the standard area.
2. The online regression verification method according to claim 1, further comprising:
if the link to be verified is a second-class link, performing online regression verification on the link to be verified based on a second-class virtual area and the associated data;
the second type of link is a link other than the first type of link, and the second type of virtual area is configured and obtained based on configuration information of a target area to which the item to be verified belongs.
3. The online regression verification method of claim 1, wherein the interaction model is determined based on the following method:
determining links of the target items in at least one area based on the processes of the target items in the same category as the items to be verified in at least one area in a preset range;
and taking the intersection of links of the target project in different areas as links contained in the interaction model.
4. The online regression verification method according to any one of claims 1 to 3, wherein the online regression verification of the link to be verified is performed based on the first-class virtual region and associated data of an association system associated with the link to be verified, and specifically includes:
constructing entry data of the first type of virtual area based on the association data of the association system, and transmitting the entry data to an interactive system;
and performing online regression verification on the link to be verified in the interactive system based on a preset virtual account and the entry data.
5. The online regression verification method according to claim 4, wherein the online regression verification of the link to be verified based on the preset virtual account and the entry data specifically comprises:
determining interactive data between a first type of association system in the association systems and the interactive system, and performing mock processing on a second type of association system in the association systems;
and performing online regression verification on the link to be verified in the interactive system based on the preset virtual account, the entry data and the interactive data.
6. The online regression verification method according to claim 5, wherein performing mock processing on a second type of correlation system in the correlation systems specifically includes:
and filtering the target data sent to the second type of association system by the interactive system, or printing a log based on the target data sent to the second type of association system by the interactive system, and directly returning response data corresponding to the target data to the interactive system.
7. The on-line regression verification method according to any one of claims 1 to 3, wherein the on-line regression verification is performed on the link to be verified based on the first type of virtual area and associated data of an association system associated with the link to be verified, and then further comprising:
and deleting data related to the first type of virtual area in the statistical data of the interactive system, and re-determining the statistical data.
8. An online regression verification apparatus, comprising:
the link determining module is used for determining a link to be verified of the project to be verified and judging the type of the link to be verified;
the regression verification module is used for performing online regression verification on the link to be verified based on the first-class virtual area and the associated data of the associated system associated with the link to be verified if the link to be verified is the first-class link;
the first-class links are links corresponding to a standard area, and the first-class virtual area is obtained based on the interactive model configuration corresponding to the standard area.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the steps of the online regression verification method as claimed in any one of claims 1 to 7.
10. A non-transitory computer readable storage medium having stored thereon a computer program, wherein the computer program when executed by a processor implements the steps of the online regression verification method according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011322492.8A CN112598420B (en) | 2020-11-23 | 2020-11-23 | Online regression verification method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011322492.8A CN112598420B (en) | 2020-11-23 | 2020-11-23 | Online regression verification method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112598420A true CN112598420A (en) | 2021-04-02 |
| CN112598420B CN112598420B (en) | 2023-05-09 |
Family
ID=75183925
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011322492.8A Active CN112598420B (en) | 2020-11-23 | 2020-11-23 | Online regression verification method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112598420B (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106487603A (en) * | 2015-08-26 | 2017-03-08 | 阿里巴巴集团控股有限公司 | A kind of response test method and device |
| CN108664403A (en) * | 2018-05-14 | 2018-10-16 | 链家网（北京）科技有限公司 | A kind of house prosperity transaction flow regression testing method and device |
| CN109359955A (en) * | 2018-10-25 | 2019-02-19 | 平安科技（深圳）有限公司 | Transaction processing method, device, computer equipment and storage medium |
| CN109376993A (en) * | 2018-09-18 | 2019-02-22 | 深圳壹账通智能科技有限公司 | Flow verification method, apparatus, computer equipment and storage medium |
| CN109815138A (en) * | 2019-01-03 | 2019-05-28 | 深圳壹账通智能科技有限公司 | Business information test method, device, computer equipment and storage medium |
| CN110532170A (en) * | 2019-07-18 | 2019-12-03 | 北京文渊佳科技有限公司 | Build method, apparatus, electronic equipment and the medium of test environment |
| CN111240980A (en) * | 2020-01-13 | 2020-06-05 | 苏州浪潮智能科技有限公司 | Automatic regression testing method based on cloud pipe platform |
| CN111709035A (en) * | 2020-06-12 | 2020-09-25 | 北京思特奇信息技术股份有限公司 | Business process security verification method and system |
-
2020
- 2020-11-23 CN CN202011322492.8A patent/CN112598420B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106487603A (en) * | 2015-08-26 | 2017-03-08 | 阿里巴巴集团控股有限公司 | A kind of response test method and device |
| CN108664403A (en) * | 2018-05-14 | 2018-10-16 | 链家网（北京）科技有限公司 | A kind of house prosperity transaction flow regression testing method and device |
| CN109376993A (en) * | 2018-09-18 | 2019-02-22 | 深圳壹账通智能科技有限公司 | Flow verification method, apparatus, computer equipment and storage medium |
| CN109359955A (en) * | 2018-10-25 | 2019-02-19 | 平安科技（深圳）有限公司 | Transaction processing method, device, computer equipment and storage medium |
| CN109815138A (en) * | 2019-01-03 | 2019-05-28 | 深圳壹账通智能科技有限公司 | Business information test method, device, computer equipment and storage medium |
| CN110532170A (en) * | 2019-07-18 | 2019-12-03 | 北京文渊佳科技有限公司 | Build method, apparatus, electronic equipment and the medium of test environment |
| CN111240980A (en) * | 2020-01-13 | 2020-06-05 | 苏州浪潮智能科技有限公司 | Automatic regression testing method based on cloud pipe platform |
| CN111709035A (en) * | 2020-06-12 | 2020-09-25 | 北京思特奇信息技术股份有限公司 | Business process security verification method and system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112598420B (en) | 2023-05-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US8874479B2 (en) | Systems and methods for testing a financial trading system | |
| CN111414172A (en) | Automatic deployment and release system and method for application software | |
| CN114205273B (en) | System test method, device and equipment and computer storage medium | |
| CN110309022B (en) | Method, simulator, device and storage medium for simulating transaction test | |
| CN106649500A (en) | Data verification method and system | |
| WO2007126548A2 (en) | Adaptive mission profiling | |
| CN111782551B (en) | Test method and device for block chain item and computer equipment | |
| CN106487603A (en) | A kind of response test method and device | |
| CN110347593B (en) | Flow testing method and device | |
| US20180082235A1 (en) | Investigator interface and override functionality within compliance determination and enforcement platform | |
| JP2020098556A (en) | Method and apparatus for verifying annotation processing task for actual use using annotation processing task for verification | |
| CN112732499A (en) | Test method and device based on micro-service architecture and computer system | |
| CN110837470B (en) | Bank card network transaction testing method and device | |
| US10510079B2 (en) | Small sample based training and large population application for compliance determination and enforcement platform | |
| CN109617755A (en) | The acceptance method and device of access system | |
| CN112651716A (en) | Data processing method, device and storage medium | |
| CN112598420B (en) | Online regression verification method and device | |
| CN111382062B (en) | Joint debugging test method and device for real estate transaction system and external institution business system | |
| US10482470B2 (en) | Self-learning compliance determination and enforcement platform | |
| CN115185829A (en) | Business process testing method and device, terminal equipment and storage medium | |
| CN114860615A (en) | Rule automatic testing method and device, electronic equipment and storage medium | |
| CN114428741A (en) | System function testing method, device, equipment and storage medium | |
| CN114115628A (en) | U shield display information acquisition method, device, equipment, medium and program product applied to U shield test | |
| US20180082366A1 (en) | Corrective action realignment and feedback system for a compliance determination and enforcement platform | |
| Touloupou et al. | Validating the Blockchain Benchmarking Framework through Controlled Deployments of XRPL and Ethereum |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |