CN112882956B - Method and device for automatically generating full-scene automatic test cases through data combination calculation, storage medium and electronic equipment - Google Patents
Method and device for automatically generating full-scene automatic test cases through data combination calculation, storage medium and electronic equipment Download PDFInfo
- Publication number
- CN112882956B CN112882956B CN202110343475.0A CN202110343475A CN112882956B CN 112882956 B CN112882956 B CN 112882956B CN 202110343475 A CN202110343475 A CN 202110343475A CN 112882956 B CN112882956 B CN 112882956B
- Authority
- CN
- China
- Prior art keywords
- data
- scene
- test
- service
- types
- 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.)
- Active
Links
- 238000012360 testing method Methods 0.000 title claims abstract description 90
- 238000000034 method Methods 0.000 title claims abstract description 43
- 238000004364 calculation method Methods 0.000 title claims abstract description 25
- 238000004140 cleaning Methods 0.000 claims abstract description 11
- 238000004891 communication Methods 0.000 claims description 13
- 238000004422 calculation algorithm Methods 0.000 claims description 7
- 238000013500 data storage Methods 0.000 claims description 4
- 238000004458 analytical method Methods 0.000 claims description 3
- 230000006870 function Effects 0.000 claims description 3
- 238000005516 engineering process Methods 0.000 abstract description 3
- 230000000007 visual effect Effects 0.000 abstract description 2
- 238000013507 mapping Methods 0.000 description 6
- 238000010586 diagram Methods 0.000 description 4
- 238000011161 development Methods 0.000 description 3
- 230000018109 developmental process Effects 0.000 description 3
- 230000003068 static effect Effects 0.000 description 3
- 238000013499 data model Methods 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000008014 freezing Effects 0.000 description 1
- 238000007710 freezing Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 230000008929 regeneration Effects 0.000 description 1
- 238000011069 regeneration method Methods 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/36—Preventing errors by testing or debugging software
- G06F11/3668—Software testing
- G06F11/3672—Test management
- G06F11/3684—Test management for test design, e.g. generating new test cases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/36—Preventing errors by testing or debugging software
- G06F11/3668—Software testing
- G06F11/3672—Test management
- G06F11/3676—Test management for coverage analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/36—Preventing errors by testing or debugging software
- G06F11/3668—Software testing
- G06F11/3672—Test management
- G06F11/3688—Test management for test execution, e.g. scheduling of test suites
Abstract
The invention discloses a method, a device, a storage medium and electronic equipment for automatically generating full-scene automatic test cases through data combination calculation. Wherein the method comprises the following steps: removing dirty data or non-business data through data cleaning to obtain a business type basic data layer; storing dimension data according to the data class and the data subclass of the existing asset division; the generation of the scene case model is completed by setting a Cartesian relationship; and automatically matching the generated case model with the generated scene data to complete the automatic case generation of the full scene and the filling of the full scene test data. The invention provides a user to select a service field, which can be a text field and an interface field, by a configuration mode and with zero technology using cost, and provides a service rule which is set by the user on the basis of the selected service field, namely, the configuration field corresponds to the expected test result of the data class, the field and the data class are both derived from the existing asset of the bottom database, and the user only needs to select on a visual line.
Description
Technical Field
The present invention relates to a financial field testing technology, and in particular, to a method, an apparatus, a storage medium and an electronic device for automatically generating full-scene automated test cases by data combination calculation.
Background
With the rapid development of society, in order to rapidly respond to market demands and promote business development, products which are satisfactory to users and bring business values are delivered, problems of software systems or products need to be found and collected in time, optimization and improvement are continuously carried out, and meanwhile, the business values brought by the systems or the products need to be measured to locate the development direction.
In the prior art, a test case generation request is mainly sent to a server through a user terminal, and the server performs mapping processing on service information nodes through a test mapping relation model to obtain a test case corresponding to a system test topological structure regeneration request. The method needs to have a pre-accumulated or constructed service topology model and service association node relation, the request user is limited to related service of the existing service topology, the process is complex, universality is not achieved, and asset accumulation is needed according to the service.
The method comprises the steps of obtaining a semantic network database, forming a mapping relation between each statement and at least one case description data, determining at least one data combination according to statement and business term data and predicate relation data, and generating a plurality of test cases according to each data combination and case description data. The method has high grammar writing requirements on cases, needs to construct huge mapping libraries in advance, and has complex process and high cost.
And (3) by searching the test case set knowledge base, the test case set is generated by reasoning according to the similar test case sets in the search result. The method cannot accurately match actual business, and the generated cases need to be manually judged, screened or supplemented, so that the method is not suitable for the high-accuracy requirements of banking industry.
And acquiring the function of the corresponding tested program through the class name of the received tested program, generating a test case and a test script, and analyzing the test case through test data. This approach requires intervening program code and is not applicable to and banking for code function level testing with greater attention to customer-based business testing dimensions.
The configuration information of the test data is configured in a relational database to obtain the test data, a Spark task is executed, the test data is generated, and the generated test data is imported into a generated Hive table for further use. The method is suitable for data volume above million, has high technical requirements for testers, and is difficult to establish connection with business.
Based on the method, the automatic test cases of the full scene are automatically generated through data combination calculation, the automatic test cases are automatically generated and data filling is automatically completed through classification combination calculation through static modeling of test data, static multiplexing data assets can be orderly arranged through manual configuration, manual cases or automatic test cases of the full scene are generated, and specific data values of each field are filled.
The information disclosed in this background section is only for enhancement of understanding of the general background of the invention and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person of ordinary skill in the art.
Disclosure of Invention
In view of the above problems, it is necessary to provide a method, an apparatus, a storage medium and an electronic device for automatically generating full-scene automated test cases by data combination calculation, so as to realize orderly arrangement of static multiplexed data assets by manual configuration in a test analysis design link in a manner of machine control automation, generate full-scene manual cases or automated test cases, and fill specific data values of each field.
In order to solve the technical problems, the invention adopts the following technical scheme:
in a first aspect, embodiments of the present application provide a method for automatically generating full-scene automated test cases by data combination calculation, comprising the steps of:
the data of each system library table is source data, dirty data or non-business data is removed through data cleaning, and a business type basic data layer containing effective business data is obtained;
storing dimension data according to the data class and the data subclass of the existing asset division, wherein the dimension data comprises data classes extracted according to the acquisition of multi-mode business factors such as interface fields, text fields or interface fields of the existing business, and the data classes are stored in the modes such as enumeration values, fixed values, functional relations, sql rule bases and the like;
the tester completes the generation of scene data by carrying out service rule matching through the configuration of data classes according to the service scene;
for the same service test, the test coverage of multiple dimensions and multiple scenes is generally needed, and data class combination can be performed according to a relation setting algorithm of a rule logic module, for example, the required scene in the service scene comprises account information of a client and comprises card types and account states, wherein the card types comprise a plurality of enumeration values of one type of card, two types of electronic users, three types of electronic users, passbook, credit card, other line card, two types of special electronic users and the like, and the account states comprise a plurality of states of normal state, frozen state, loss reporting state, unactivated state, overdue state and the like;
the test scene needs to cover all combinations of card types and account states, and the method can be used for completely combining the card types and the account states of the clients to complete scene case model generation directly by setting Cartesian relations;
then automatically matching the generated case model with the generated scene data to finish the generation of the full scene automatic case and the filling of the full scene test data;
the method can automatically generate the corresponding case set and the test data set at one time only by defining each scene and each type in the service, the test is ensured to be omitted from the test analysis stage, and the test data is synchronously prepared and can be reused.
According to another aspect of the present invention, there is provided an apparatus for automatically generating full scene automation test cases by data combination calculation, the apparatus comprising:
the data cleaning module is used for cleaning the dirty data or non-business data by taking the data of each system library table as source data to obtain a business type basic data layer containing effective business data;
the dimension data storage module is used for storing dimension data according to the data class and the data subclass divided by the existing asset, wherein the dimension data comprises the data class extracted according to the acquisition of multi-mode business factors such as interface fields, text fields or interface fields of the existing business, and the data class is stored in the modes such as enumeration values, fixed values, functional relations, sql rule bases and the like;
the service rule configuration module is used for carrying out service rule matching by a tester according to a service scene through configuration of a data class to finish generation of scene data;
the scene data generating module is used for carrying out multi-dimensional and multi-scene test coverage on the same type of service test, and can be used for carrying out data class combination according to a relation setting algorithm of the rule logic module, for example, the required scene in the service scene comprises account information of a client and comprises card types and account states, wherein the card types comprise a plurality of enumeration values of one type of card, two types of cards, two types of electronic users, three types of electronic users, passbooks, credit cards, other line cards, two types of special electronic users and the like, and the account states comprise a plurality of states of normal state, freezing state, loss reporting state, unactivated state, overdue state and the like;
the method comprises the steps that a case model generation module, a test scene is required to cover all combinations of card types and account states, and the method can be used for completely combining the card types and the account states of a client to complete scene case model generation directly by setting a Cartesian relationship;
and the automatic matching module is used for automatically matching the generated case model with the generated scene data, so that the generation of the full scene automatic case and the filling of the full scene test data can be completed.
According to still another aspect of the present invention, there is provided an electronic apparatus including: the device comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface are communicated with each other through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction enables the processor to execute the operation corresponding to the software system satisfaction evaluation method.
According to still another aspect of the present invention, there is provided a computer storage medium having stored therein at least one executable instruction for causing a processor to perform operations corresponding to the software system satisfaction evaluation method described above.
The invention has the beneficial effects that:
the invention provides the user to select the service field, which can be a text field or an interface field, by a configuration mode and with zero technology using cost.
And providing a test result expected by the data class corresponding to the configuration field, wherein the test result is set by the user on the basis of the selected service field.
The fields and the data classes are all derived from the existing assets of the underlying database, and the user only needs to select on the visual line.
And automatically identifying the enumerated values of the data dictionary corresponding to each field by the system through multidimensional mapping in the bottom data model, configuring according to the business rule, combining and calculating scene branches corresponding to various types of data, taking each type of data of a single field as a test scene, and automatically generating manual or automatic test cases according to algorithms such as permutation and combination, cascade relation and the like.
According to the invention, after the case is automatically generated by the enumerated values of the corresponding data dictionary in the bottom data model through the fields configured by the user, the system can be further connected with the database to inquire the specific value of the stock data or the newly added structure value by mapping the corresponding data source of each enumerated value in the affiliated system, the system is filled into the manual test case or the automatic test case, and the automatic test case can directly finish the batch automatic generation of the test script with high precision and high efficiency according to the interface field information and the format configured by the user.
The foregoing description of the invention is merely an overview of the present invention, and is intended to provide a more clear description of the technical means of the invention, as it may be embodied in accordance with the teachings of the specification, as well as to provide a more understandable description of the invention, as well as of the above and other objects, features and advantages of the invention, as it may be embodied in the following specific examples.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention.
FIG. 1 is a flow chart of a method for automatically generating full scene automation test cases by data combination calculation according to an embodiment of the present invention;
FIG. 2 is a block diagram of a method for automatically generating full scene automation test cases by data combination calculation according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device according to a method for automatically generating full-scene automatic test cases by data combination calculation according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
In the description of the present invention, it should be understood that the orientations or positional relationships indicated by the terms "center", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counter-clockwise", etc., are based on the orientation or positional relationships shown in the drawings, are merely for convenience of description and simplicity of description, and do not indicate or imply that the apparatus or element being referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as limiting the invention.
Throughout the specification and claims, unless explicitly stated otherwise, the term "comprise" or variations thereof such as "comprises" or "comprising" and the like will be understood to include the stated element or component without excluding other elements or components.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implying a number of technical features being indicated. Thus, a feature defining "a first", "a second" or the like may include one or more such features, either explicitly or implicitly. In the description of the present invention, the meaning of "a plurality" is two or more, unless specifically defined otherwise.
Fig. 1 is a flowchart of a method for automatically generating full-scene automatic test cases by data combination calculation according to an embodiment of the present invention, and referring to fig. 1, the method includes:
evaluating the delivery satisfaction, namely evaluating the system satisfaction from the system demand delivery condition, and evaluating mainly by using a delivery timeliness index;
step S1, cleaning data, wherein the data of each system library table is source data, and removing dirty data or non-business data through data cleaning to obtain a business type basic data layer containing effective business data;
step S2, storing dimension data, namely storing dimension data according to data classes and data subclasses divided by the existing assets, wherein the dimension data comprises data classes extracted according to multi-mode service factor acquisition of an interface field, a text field or an interface field of the existing service, and the data classes are stored in the modes of enumeration values, fixed values, functional relationships, sql rule libraries and the like;
step S3, configuring service rules, and carrying out service rule matching by a tester according to service scenes by configuring data classes to finish generating scene data;
step S4, generating scene data, and meanwhile, performing multi-dimensional multi-scene test coverage on the same type of service test generally, wherein data class combination can be performed according to a relation setting algorithm of a rule logic module, for example, the required scene in the service scene comprises account information of a client and comprises card types and account states, the card types comprise a plurality of enumeration values of a first class card, a second class electronic user, three class electronic users, a passbook, a credit card, a further class card, a second class special electronic user and the like, and the account states comprise a plurality of states of normal state, frozen state, loss reporting state, unactivated state, expired state and the like;
step S5, generating a case model, wherein the test scene needs to cover all combinations of card types and account states, and the method can be used for completely combining the card types and the account states of the clients to complete scene case model generation directly by setting Cartesian relations;
and S6, automatically matching the case model with the scene data, and then automatically matching the generated case model with the generated scene data, so that the generation of the full-scene automatic case and the filling of the full-scene test data can be completed.
Fig. 2 is a schematic structural diagram of an apparatus 20 for automatically generating full scene automation test cases by data combination calculation according to an embodiment of the present invention, including:
201 a data cleaning module, wherein the data of each system library table is source data, dirty data or non-business data is removed through data cleaning, and a business type basic data layer containing effective business data is obtained;
the 202 dimension data storage module stores dimension data according to data classes and data subclasses divided by the existing assets, wherein the dimension data comprises data classes extracted according to multi-mode service factor acquisition of an existing service such as an interface field, a text field or an interface field, and the data classes are stored in the modes of enumeration values, fixed values, functional relationships, sql rule libraries and the like;
203, a service rule configuration module, wherein a tester performs service rule matching to complete scene data generation according to a service scene through data class configuration;
204 the scene data generating module, meanwhile, for the same kind of service test, multi-dimensional multi-scene test coverage is generally needed, then data class combination can be carried out according to a relation setting algorithm of the rule logic module, for example, the required scene in the service scene comprises account information of a client and comprises card types and account states, the card types comprise a plurality of enumeration values of a first class card, a second class electronic user, three class electronic users, a passbook, a credit card, a line card, a second class special electronic user and the like, and the account states comprise a plurality of states of normal state, frozen state, loss reporting state, unactivated state, expired state and the like;
205 the case model generation module, the test scene needs to cover all combinations of card types and account states, through the method, the customer card types and account states can be completely combined directly by setting Cartesian relations to complete scene case model generation;
206, automatically matching the generated case model with the generated scene data, and completing the generation of the full scene automatic case and the filling of the full scene test data.
Fig. 3 is a schematic structural diagram of an electronic device according to a method for automatically generating full-scene automatic test cases by data combination calculation according to an embodiment of the present invention. The electronic device 1100 may be a host server with computing capabilities, a personal computer PC, or a portable computer or terminal that is portable, etc. The specific embodiments of the present invention are not limited to specific implementations of electronic devices.
The electronic device 1100 includes at least one processor 1110, a communication interface (Communications Interface) 1120, a memory 1130, and a bus 1140. Wherein processor 1110, communication interface 1120, and memory 1130 communicate with each other through bus 1140.
The communication interface 1120 is used to communicate with network elements including, for example, virtual machine management centers, shared storage, and the like.
The processor 1110 is used to execute programs. The processor 1110 may be a central processing unit CPU, or an application specific integrated circuit ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement embodiments of the present invention.
The memory 1130 is used for executable instructions. Memory 1130 may include high-speed RAM memory or non-volatile memory (nonvolatile memory), such as at least one magnetic disk memory. Memory 1130 may also be a memory array. Memory 1130 may also be partitioned and the blocks may be combined into virtual volumes according to certain rules. The instructions stored in memory 1130 may be executable by processor 1110 to enable processor 1110 to perform a method of matching requirements in any of the method embodiments described above.
The embodiment of the present invention also provides a storage medium storing computer-executable instructions containing a program for executing the matching method of the above-described requirements, the computer-executable instructions being capable of executing the method of any of the above-described method embodiments.
The storage medium may be any available medium or data storage device that can be accessed by a computer, including, but not limited to, magnetic storage (e.g., floppy disks, hard disks, magnetic tape, magneto-optical disks (MOs), etc.), optical storage (e.g., CD, DVD, BD, HVD, etc.), and semiconductor storage (e.g., ROM, EPROM, EEPROM, nonvolatile storage (NAND FLASH), solid State Disk (SSD)), etc.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A method of automatically generating full scene automation test cases by data combining calculations, the method comprising:
the system library table data are used as source data, and a business base data layer is obtained through data cleaning of the source data;
storing dimension data according to the data class and the data subclass of the existing asset division;
according to the service scene, the tester performs service rule matching through the configuration of the data class to complete the generation of scene data;
performing multi-dimensional multi-scene test coverage on the same type of service test, and performing data class combination according to a relation setting algorithm of a rule logic module, wherein a required scene in the service scene comprises account information of a client;
the test scene covers all combinations of card types and account states, and the card types and the account states of the clients are completely combined directly by setting Cartesian relations, so that scene case model generation is completed;
then automatically matching the generated case model with the generated scene data to finish the generation of the full scene automatic case and the filling of the full scene test data;
each scene and each type in the service are defined, a corresponding case set and a corresponding test data set are automatically generated at one time, the test is ensured to be omitted from the test analysis stage, and the test data is synchronously prepared and can be reused.
2. The method for automatically generating full scene automation test cases by data combining calculations of claim 1, wherein the source data comprises dirty data and non-business data.
3. The method for automatically generating full scene automation test cases by data combining calculations of claim 1 wherein the source business class base data layer comprises valid business data.
4. The method for automatically generating full scene automation test cases by data combining calculations of claim 1, wherein the dimension data comprises a class of data extracted from a plurality of business factor acquisitions of an existing business such as interface field, text field, and interface field.
5. The method for automatically generating full scene automation test cases by data combining calculations of claim 1, wherein the data classes are stored as enumerated values, fixed values, functional relationships, and sql rule base.
6. The method for automatically generating full scene automation test cases by data combining calculations of claim 1, wherein the account information of the customer includes card type and account status.
7. The method for automatically generating full scene automatic test cases based on data combining calculations according to claim 6, wherein the card types include one type of card, two types of cards, two types of electronic users, three types of electronic users, passbooks, credit cards, other types of cards, two types of special electronic users, and the account status includes normal, frozen, loss, inactive, and expired.
8. An apparatus for automatically generating full scene automation test cases by data combining calculations, comprising:
the data cleaning module is used for cleaning the dirty data or non-business data by taking the data of each system library table as source data to obtain a business type basic data layer containing effective business data;
the dimension data storage module is used for storing dimension data according to the data class and the data subclass divided by the existing asset, wherein the dimension data comprises the data class extracted according to the service factor acquisition of the existing service in the modes of interface field, text field or interface field, and the data class is stored in the modes of enumeration value, fixed value, function relation and sql rule base;
the service rule configuration module is used for carrying out service rule matching by a tester according to a service scene through configuration of data classes to finish generation of scene data;
the scene data generation module is used for carrying out multi-dimensional multi-scene test coverage on the same type of service test and carrying out data class combination according to a relation setting algorithm of the rule logic module, wherein the required scene in the service scene comprises account information of a client and account states, the card types comprise one type of card, two types of electronic users, three types of electronic users, passbooks, credit cards, other row of cards and a plurality of enumeration values of two types of special electronic users, and the account states comprise normal state, frozen state, loss reporting state, unactivated state and overdue state;
the case model generation module is used for completely combining the card types and the account states of the clients by directly setting Cartesian relations to complete scene case model generation by using the test scene to cover the combination of all card types and the account states;
and the automatic matching module is used for automatically matching the generated case model with the generated scene data to finish the generation of the full scene automatic case and the filling of the full scene test data.
9. An electronic device, comprising: the device comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete communication with each other through the communication bus; the memory is configured to store at least one executable instruction that causes the processor to perform operations corresponding to the method for automatically generating full scene automation test cases by data combining calculations as set forth in any one of claims 1-7.
10. A computer storage medium having stored therein at least one executable instruction for causing a processor to perform operations corresponding to the automated full scene automation test case method of any of claims 1-7 by data combining calculations.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110343475.0A CN112882956B (en) | 2021-03-30 | 2021-03-30 | Method and device for automatically generating full-scene automatic test cases through data combination calculation, storage medium and electronic equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110343475.0A CN112882956B (en) | 2021-03-30 | 2021-03-30 | Method and device for automatically generating full-scene automatic test cases through data combination calculation, storage medium and electronic equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112882956A CN112882956A (en) | 2021-06-01 |
| CN112882956B true CN112882956B (en) | 2024-04-16 |
Family
ID=76040332
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110343475.0A Active CN112882956B (en) | 2021-03-30 | 2021-03-30 | Method and device for automatically generating full-scene automatic test cases through data combination calculation, storage medium and electronic equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112882956B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113535565B (en) * | 2021-07-19 | 2022-10-04 | 工银科技有限公司 | Interface use case generation method, device, equipment and medium |
| CN113704093A (en) * | 2021-08-05 | 2021-11-26 | 卡斯柯信号(成都)有限公司 | Universal interlocking software test case generation method |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108984712A (en) * | 2018-07-06 | 2018-12-11 | 深圳前海微众银行股份有限公司 | Counting method, equipment and readable storage medium storing program for executing are made based on business scenario |
| CN110554958A (en) * | 2019-08-01 | 2019-12-10 | 北京百度网讯科技有限公司 | Graph database testing method, system, device and storage medium |
| CN111813661A (en) * | 2020-06-15 | 2020-10-23 | 福建省农村信用社联合社 | Global service data drive automatic test method, device, equipment and medium |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150227452A1 (en) * | 2014-02-12 | 2015-08-13 | Wipro Limited | System and method for testing software applications |
-
2021
- 2021-03-30 CN CN202110343475.0A patent/CN112882956B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108984712A (en) * | 2018-07-06 | 2018-12-11 | 深圳前海微众银行股份有限公司 | Counting method, equipment and readable storage medium storing program for executing are made based on business scenario |
| CN110554958A (en) * | 2019-08-01 | 2019-12-10 | 北京百度网讯科技有限公司 | Graph database testing method, system, device and storage medium |
| CN111813661A (en) * | 2020-06-15 | 2020-10-23 | 福建省农村信用社联合社 | Global service data drive automatic test method, device, equipment and medium |
Non-Patent Citations (1)
| Title |
|---|
| 一种跨业务场景的测试案例组构建方法;张丹阳;郑荣廷;;中国金融电脑;20180907(09);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112882956A (en) | 2021-06-01 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112882956B (en) | Method and device for automatically generating full-scene automatic test cases through data combination calculation, storage medium and electronic equipment | |
| US6049861A (en) | Locating and sampling of data in parallel processing systems | |
| KR20150076225A (en) | Profiling data with location information | |
| CN109783346B (en) | Keyword-driven automatic testing method and device and terminal equipment | |
| CN111444188B (en) | Preparation method and device of stock test data, storage medium and electronic equipment | |
| CN114490375A (en) | Method, device and equipment for testing performance of application program and storage medium | |
| CN114996125A (en) | Test case generation method, device, equipment and storage medium | |
| CN108897765A (en) | A kind of batch data introduction method and its system | |
| US8650180B2 (en) | Efficient optimization over uncertain data | |
| CN108733707A (en) | A kind of determining function of search stability and device | |
| EP4174678A1 (en) | Cloud analysis scenario-based hybrid query method and system, and storage medium | |
| CN115481026A (en) | Test case generation method and device, computer equipment and storage medium | |
| CN113986762A (en) | Test case generation method and device | |
| CN114238143A (en) | ES data number making method, system and storage medium for interface test | |
| CN111143006B (en) | Method and device for acquiring command help information | |
| CN114443493A (en) | Test case generation method and device, electronic equipment and storage medium | |
| CN110177006B (en) | Node testing method and device based on interface prediction model | |
| CN113538131A (en) | Method and device for modeling modular scoring card, storage medium and electronic equipment | |
| CN112035366A (en) | Test case generation method, device and equipment | |
| CN117113897B (en) | Standard cell-based information association method, apparatus, device and storage medium | |
| CN114116729B (en) | Test data processing method and equipment | |
| CN115086156B (en) | Method for positioning abnormal application in storage area network | |
| CN115658551B (en) | Code testing method, storage medium, electronic device and apparatus | |
| CN114138318B (en) | Software asset checking method, system, terminal and storage medium | |
| Mishra et al. | Maintainability of Service-Oriented Architecture using Hybrid K-means Clustering Approach |
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 |