WO2020233089A1

WO2020233089A1 - Test case generating method and apparatus, terminal, and computer readable storage medium

Info

Publication number: WO2020233089A1
Application number: PCT/CN2019/122781
Authority: WO
Inventors: 张娟
Original assignee: 深圳壹账通智能科技有限公司
Priority date: 2019-05-21
Filing date: 2019-12-03
Publication date: 2020-11-26
Also published as: CN110287104A

Abstract

A test case generating method and apparatus, a terminal, and a computer readable storage medium, the method comprising: receiving a requirements document and analysing the requirements document to generate a number of nodes corresponding to the requirements document, a scenario descriptions of the nodes, and the connecting relationship between each of the nodes (S100); on the basis of the scenario description of the nodes, querying from a preset address a preset test scenario corresponding to each node (S200); on the basis of the connecting relationship between each of the nodes, associating the preset test scenario corresponding to each node, and combining the test codes corresponding to each of the associated preset test scenarios to form a test case (S300).

Description

Test case generation method, device, terminal and computer readable storage medium To

This application claims the priority of a Chinese patent application filed with the Chinese Patent Office on May 21, 2019, the application number is 201910433511.5, and the invention title is "Test Case Generation Method, Device, Terminal, and Computer-readable Storage Medium", and its entire content Incorporated in the application by reference.

Technical field

This application relates to the technical field of program testing, and in particular to a method, device, terminal, and computer-readable storage medium for generating test cases.

Background technique

Test case Case) is a set of test inputs, execution conditions, and expected results prepared for a particular goal in order to test a program path or verify whether a particular requirement is met. In the existing test process, designers write test requirements documents, and testers manually write test cases according to the requirements documents. If there are many process steps or branch processes in the requirements document, there will be many test scenarios. Manually writing test scenarios for all processes will be time-consuming and work-intensive.

Therefore, how to solve the technical problems of long time-consuming and heavy workload caused by the existing manual writing of test cases has become a technical problem to be solved urgently.

Summary of the invention

The main purpose of this application is to provide a test case generation method, device, terminal, and computer-readable storage medium, aiming to solve the technical problems of long time-consuming and heavy workload caused by manually writing test cases, which has become a technical problem that needs to be solved urgently.

In order to achieve the above objective, this application proposes a test case generation method, and the test case generation method includes:

Receiving a requirement document and analyzing the requirement document to generate a number of nodes corresponding to the requirement document, a scene description corresponding to the node, and the connection relationship between each of the nodes;

Query the preset test scene corresponding to each node from the preset address according to the scene description of each node;

The preset test scenarios corresponding to each of the nodes are associated according to the connection relationship between the nodes, and the test codes corresponding to each of the associated preset test scenarios are combined to form a test case.

This application provides a test case generation device, the test case generation device includes:

An analysis module, which is used to receive a demand document, analyze the demand document, and generate a number of nodes corresponding to the demand document, a scene description corresponding to the node, and the connection relationship between each node ；

A query module, where the query module is used for the scene description of each node to query the preset test scene corresponding to each node from the preset address;

An export module, which is configured to associate preset test scenarios corresponding to each of the nodes according to the connection relationship between each node, and combine the test codes corresponding to each of the associated preset test scenarios to form a test case .

This application provides a terminal, including a processor, a memory, a communicator, and computer-readable instructions stored on the memory that can be executed by the processor, wherein the computer-readable instructions are executed by the processor When executed, the steps of the aforementioned test case generation method are implemented.

This application provides a computer-readable storage medium having computer-readable instructions stored on the computer-readable storage medium, wherein, when the computer-readable instructions are executed by a processor, the test case generation method described above is implemented step.

In the technical solution of this application, by analyzing the requirement document, the number of nodes required in the requirement document, the scene description of the node, and the connection relationship between each node can be obtained. On this basis, the connection relationship between each node is determined according to the scene description of each node. The preset test scenarios corresponding to the nodes are combined according to the connection relationship, thereby realizing automatic generation of test cases, eliminating the need for staff to manually edit test cases based on demand documents, improving work efficiency and reducing workload. At the same time, the test cases are automatically generated according to the connection relationship, which effectively avoids the situation that the logic relationship between adjacent nodes is prone to errors in the process of writing test cases due to the complex logic relationship, which leads to inconsistency with the requirements document.

Description of the drawings

FIG. 1 is a schematic diagram of the hardware structure of a terminal involved in a solution of an embodiment of the application;

FIG. 2 is a schematic flowchart of the first embodiment of the test case generation method of this application;

FIG. 3 is a schematic flowchart of a second embodiment of the test case generation method of this application;

FIG. 4 is a schematic flowchart of a third embodiment of a test case generation method according to this application;

FIG. 5 is a schematic flowchart of a fourth embodiment of a test case generation method according to this application;

FIG. 6 is a schematic flowchart of a seventh embodiment of a test case generation method of this application;

FIG. 7 is a schematic diagram of modules of the test case generation device of this application.

The realization, functional characteristics, and advantages of the purpose of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings.

Detailed ways

It should be understood that the specific embodiments described here are only used to explain the application, and are not used to limit the application.

The test case generation method involved in the embodiment of the present application is mainly applied to a terminal. The terminal is a device with processing functions, and may be a portable computer or a server. Referring to FIG. 1, FIG. 1 is a schematic diagram of a terminal structure involved in a solution of an embodiment of this application. In the embodiment of the present application, the terminal may include a processor 1001 (for example, a CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Among them, the communication bus 1002 is used to realize the connection and communication between these components; the user interface 1003 may include a display (Display), an input unit such as a keyboard (Keyboard); the network interface 1004 may optionally include a standard wired interface, a wireless interface (Such as WI-FI interface); the memory 1005 can be a high-speed RAM memory or a stable memory (non-volatile memory), such as a disk memory. The memory 1005 may optionally be a storage device independent of the aforementioned processor 1001. Those skilled in the art can understand that the hardware structure shown in FIG. 1 does not constitute a limitation on the device, and may include more or fewer components than shown in the figure, or combine certain components, or arrange different components.

Continuing to refer to FIG. 1, the memory 1005 as a computer-readable storage medium in FIG. 1 may include an operating system, a network communication module, and computer-readable instructions. In FIG. 1, the network communication module is mainly used to connect to the user terminal and perform data communication with the user terminal; and the processor 1001 can call the computer readable instructions stored in the memory 1005 and execute the steps of the test case generation method.

Based on the hardware structure of the above terminal, various embodiments of the test case generation method of the present application are proposed. This application provides a method for generating test cases. Please refer to Figure 2. In the first embodiment of the present application, the test case generation method includes the following steps:

Step S100, receiving a demand document, analyzing the demand document, and generating a number of nodes corresponding to the demand document, a scene description corresponding to the node, and the connection relationship between each of the nodes;

The requirement document is a pre-set outline set by the designer according to the functions to be tested by the program to be tested. The staff sets up test cases according to the requirement document to test each function of the program to be tested. In this embodiment, the requirement document is a flowchart. In other embodiments, the requirement document can also be embodied in tabular form or plain text. For requirement documents in different manifestations, different analysis programs can be established to integrate the requirement documents. Dataization and standardization of the content in, obtain the nodes listed in the requirements document, the scene description of the corresponding nodes, and the connection relationship between each node. The scene description is a detailed description of the functions and application scenarios of each node. The connection relationship is the logical relationship and judgment rule between each node.

When the demand document is expressed in plain text, it is recognized through word segmentation, semantic recognition, keyword comparison, etc. In the demand document composed of plain text, there are several nodes, the scene description of each node, and the connection between each node relationship. For example, if the requirement document records "the first test account is incorrectly entered in the login page, the test password is incorrectly entered, and the final test verification code is incorrectly entered", it can be known through word segmentation, semantic recognition, keyword comparison, etc., that there is a "verification account entry There are three nodes, "Error", "Incorrect verification password", and "Incorrect verification code", among which the connection relationship is carried out in sequence.

Step S200: query the preset test scene corresponding to each node from the preset address according to the scene description of each node;

The preset address points to a storage space that stores preset test scenarios and test codes of preset test scenarios preset by those skilled in the art, and may specifically be a uniform resource locator (niform Resoure Locator, url). The test code is test data prepared by those skilled in the art for each scenario in advance. For example: for the scenario where the login password is wrong and the wrong password prompt pops up, write the test data for logging in with the wrong password in advance. When it is necessary to verify the scenario where the login password is wrong, write the test data for logging in with the wrong password in advance.

Step S300: Associate preset test scenarios corresponding to each of the nodes according to the connection relationship between each of the nodes, and combine the test codes corresponding to each of the associated preset test scenarios to form a test case.

Since a requirement document often contains multiple nodes, and there are complex logical relationships between each node, the test agent corresponding to the preset test scenario of each node is formed into a whole according to the connection relationship, and the whole is a test case that matches the requirement document .

This application analyzes the requirements document to obtain the required number of nodes in the requirement document, the scene description of the node, and the connection relationship between each node. On this basis, the preset corresponding to each node is determined according to the scene description of each node. Set up test scenarios, and then combine the preset test scenarios according to the connection relationship, thereby realizing automatic generation of test cases, eliminating the need for staff to manually edit test cases based on demand documents, improving work efficiency and reducing workload. At the same time, the test cases are automatically generated according to the connection relationship, which effectively avoids the situation that the logic relationship between adjacent nodes is prone to errors in the process of writing test cases due to the complex logic relationship, which leads to inconsistency with the requirements document. To

Further, please refer to FIG. 3, which is a schematic flowchart of the second embodiment of the test case generation method of this application. Based on the first embodiment, the requirement document is a flowchart; step S100 includes:

Step S110, receiving the flowchart, comparing the flowchart with a preset graphic element template library, and identifying the positions of arrows and connecting lines in the flowchart;

Specifically, arrows and connecting lines of various shapes and different manifestations are preset in the preset graphic element template library, so that the arrows and connecting lines in the process can be identified.

Step S120: Perform grayscale processing on the flowchart to generate a grayscale value matrix;

Since the flowchart is usually colored, the color parameters in the flowchart are discarded by gray-scale processing of the flowchart, which is helpful for identifying the node boxes in the flowchart. First, perform grayscale processing on the flowchart, obtain and store the gray value corresponding to each pixel in the flowchart, and form a gray value matrix, where the number of rows in the matrix is the height of the flowchart, and the number of columns in the matrix is the flowchart Each element in the matrix represents the gray value of the corresponding pixel (the value is 0-255). For example: the background color in the flowchart is white (gray value 255), and the node frame is black (gray value less than 255).

Step S130: Identify the node frame in the grayscale matrix according to the gray value matrix in combination with the arrow and connecting line positions, and set one of the node frames as one of the nodes;

Since each node frame has a color difference with the background, through color difference analysis, the position coordinates of each node frame and each node frame are obtained.

Step S140, generating a connection relationship between each of the nodes according to the position of the arrow and the connecting line;

Go through step S 110. Identify the arrows and connecting lines in the flowchart, and combine the gray value matrix to mark the start and end positions of each arrow and connecting line, and compare the marked results with the position coordinates of the node box, namely The connection relationship of the nodes corresponding to each node frame can be obtained.

Step S150: Recognize the text in each node frame through OCR text recognition technology, and generate a scene description corresponding to the node.

OCR (optical character recognition) The process by which text recognition technology translates character shapes in the form of pictures into computer text. Through the OCR text recognition technology, the text in the node box can be converted into the scene description of the node in the form of computer text.

Through the above steps, the nodes, scene descriptions, and connection relationships embodied in the flow chart in the form of pictures can be transformed into a computer-understandable data form. The designer expresses the requirement document with a flowchart, which is convenient for the designer to design.

Further, please refer to FIG. 4, which is a schematic flow chart of the third embodiment of the test case generation method of this application. Based on the first embodiment, the test scenario includes a preset backbone scenario and a preset branch scenario; step S200 includes:

Step S210: Query the preset backbone scene corresponding to the current node from the preset address according to the scene description of the current node;

Specifically, when the scene description is not clear, it is possible that the corresponding preset backbone scene cannot be queried from the preset address according to the scene description of the node. At this time, the node is marked and prompt information is generated. The user is prompted to manually edit the test code added to the node. When the node corresponds to the preset branch test scenario, the preset main test scenario cannot be queried. At this time, you can set to skip the node or start from the preset branch test scenario corresponding to the previous node of the current node Inquire.

In general, the node in the first order must be the default backbone scene, and the node in the second-Nth order may be the default backbone scene or the preset branch scene. Optionally, in step S200, the preset test scenario corresponding to the first node is queried from the preset address from the first node, that is, the current node in step S210 must be available from the preset address. Suppose that the preset backbone scene corresponding to the current node is queried in the address.

Step S220, if the preset backbone scene corresponding to the current node is queried from the preset address, determine the connection relationship between the current node and the previous node as the backbone process;

The previous node is the node performed before the current node. When the current node is the first node, that is, there is no previous node, and there is no step of determining the connection relationship between the current node and the previous node. The connection relationship not only indicates the direct connection or indirect connection between the nodes, but also indicates whether the relationship between the nodes is the main process or the branch process.

Step S230: If the preset backbone scene corresponding to the current node cannot be found from the preset address, determine that the connection relationship between the current node and the previous node is a branch process;

The preset address stores a preset backbone scene, and when the corresponding preset backbone scene cannot be queried for the scene description of the node, the node may be a preset branch scene.

Determine the current node N connected to the previous node N-1 according to the position of the arrow and the connecting line, and determine whether the preset backbone corresponding to the current node N can be queried from the preset address based on the scene description of the current node Scene; if the preset backbone scene corresponding to the current node N is queried, the connection relationship between the previous node N-1 and the current node N is determined as the backbone process; if the current node N cannot find the corresponding preset In the backbone scenario, it is determined that the connection relationship between the previous node N-1 and the current node N is a branch process. Between the previous node N-1 and the current node N, there must be the previous node N-1 first, and then the current node N. There can be multiple current nodes N after the previous node N-1.

Step S240, sequentially determining subsequent nodes connected to the current node according to the arrow and the position of the connecting line, and querying the preset backbone corresponding to the subsequent node from the preset address according to the scene description of the subsequent node Scenes;

After the current node N, multiple subsequent nodes N+1, N+2, N+n... can also be directly or indirectly connected, and it is determined in turn whether the preset address can be queried with each subsequent node. The default backbone scene corresponding to the node.

Step S250: Confirm the connection relationship between each node according to the query result.

There may be two query results. One is similar to step S220, and the corresponding preset backbone scene is queried, then the connection relationship between nodes is confirmed as the backbone process; the other is similar to step S230, and the corresponding preset backbone scene cannot be queried. , Then confirm that the connection relationship between nodes is a branch process. Determine the connection relationship between each node until the last node is determined.

By dividing the preset test scenes into the preset trunk scene and the preset branch scene, the connection relationship between the nodes corresponding to the preset trunk scene is listed as the trunk process, so that each node in the trunk process can be further corresponding to the preset trunk The test code combination of the scenario forms a test case.

Further, please refer to FIG. 5. FIG. 5 is a schematic flowchart of the fourth embodiment of the test case generation method of this application. Based on the third embodiment, after step S230, it includes:

Step S260: Query at least one of the preset branch scenarios corresponding to the previous node from the preset address;

One or more preset branch scenes are preset in the preset address to correspond to one preset trunk scene. Of course, one preset branch scene may also correspond to multiple preset trunk scenes. For example: the default backbone scene corresponding to node N-1 is the login page scene, you can set the verification verification code input error scene, the verification account input error scene, and the verification password input error scene. The preset branch scene corresponds to the login page scene, the current node N corresponds to one of the scenario where the verification code is entered incorrectly, the verification account is entered incorrectly, and the verification password is entered incorrectly.

Step S270: According to the scene description of the current node, a preset branch scene corresponding to the current node is obtained by comparing from the preset branch scene corresponding to the previous node.

By dividing the preset test scenes into preset trunk scenes and preset branch scenes, preset branch scenes are preset for the preset trunk scenes, so that the nodes after the nodes corresponding to the preset trunk scenes can be selected from the preset branch scenes , To reduce the amount of calculation in the comparison process.

Further, after step S270, the method includes:

Acquiring the necessary scene corresponding to the previous node, and determining whether the preset branch scene corresponding to each node connected to the previous node includes all the necessary scenes;

If the preset branch scenes of the nodes connected to the previous node do not include all the necessary scenes, prompt information is generated.

If the preset branch scenes corresponding to the nodes connected to the previous node include all the necessary scenes, no processing is performed. The required scene is a preset branch scene that must be performed after a preset main scene. The number of necessary scenes corresponding to the preset main scene is less than or equal to the preset branch scenes corresponding to the preset main scene. By judging whether the preset branch scene corresponding to the current node contains the necessary scene, it is possible to find the missing node in the requirement document.

Further, based on the fourth embodiment, step S300 includes:

Associating the connection relationship with the nodes of the backbone process to form at least one backbone node chain;

Receive the node chain selection operation made by the user according to the backbone node chain, associate the preset backbone scenes corresponding to each of the nodes in at least one of the backbone node chains, and associate each of the associated preset backbone scenes The corresponding test code combination forms the main use case;

It is determined that the connection relationship with each node in the backbone node chain is the node of the branch process, and the test code of the preset branch scene corresponding to the node of the branch process is filled in the test code according to the connection relationship. In the main use case, a test case is formed.

Due to the complex connection relationship between nodes, usually multiple backbone node chains are generated in a requirement document, and each backbone node chain can be parallel, that is, the nodes in each backbone node chain are evenly distributed; it can also be crossed, that is, the same points are both It belongs to the backbone node chain A, and belongs to the backbone node chain B. The user makes node chain selection operations by clicking, sliding, etc., one backbone node chain can be selected at a time, or multiple backbone node chains can be selected. According to the current actual needs of users, test cases are dynamically generated, which is convenient for users to change dynamic use cases according to actual conditions.

Further, please refer to FIG. 6, which is a schematic flowchart of the sixth embodiment of the test case generation method of this application. Based on the third embodiment, step S210 includes:

Step S211: Obtain a first keyword corresponding to the preset backbone scene, and determine whether the first keyword exists in the scene description of the node;

The first keyword may specifically be composed of one vocabulary or multiple vocabulary, or may be composed of multiple vocabulary and logical words. Each node can be distinguished by the first keyword. For example, if the scenario description is "Test the account login function on the login page", the first keyword can be set to "Login page and account account".

Step S212: If the first keyword exists in the scene description, set the node to correspond to the preset backbone scene corresponding to the first keyword.

If the first keyword does not exist in the scene description, the previous node connected to the node is determined according to the position of the arrow and the connecting line, in the preset branch scene corresponding to the previous node Select a preset branch scene to correspond to the node. If it fails to match a preset backbone scene corresponding to the node in the preset branch scene corresponding to the previous node, a prompt message is generated to prompt the user to edit manually.

In this application, the preset backbone scene corresponding to each node is determined by setting the first keyword, and then the preset branch scene is determined by the scene description, so that the amount of setting of the first keyword is small and the comparison error is reduced.

In addition, the present application also provides a test case generation device, which includes:

Analysis module 10, the analysis module 10 is used to receive a demand document, analyze the demand document, and generate a number of nodes corresponding to the demand document, a scene description corresponding to the node, and the relationship between each node Connection relationship

Query module 20, which is used for the scene description of each node to query the preset test scene corresponding to each node from the preset address;

An export module 30, which is configured to associate preset test scenarios corresponding to each of the nodes according to the connection relationship between each node, and combine the test codes corresponding to each of the associated preset test scenarios to form Test case.

Further, the requirement document is a flowchart; the analysis module 10 includes: a first recognition unit, the first recognition unit is configured to receive the flowchart, and compare the flowchart with a preset graphic element template library Yes, identify the positions of the arrows and connecting lines in the flowchart; the gray-scale processing unit, perform gray-scale processing on the flowchart to generate a gray-scale value matrix; the second identification unit, the second identification unit is used According to the gray value matrix and the position of the arrow and the connecting line, the node frame in the gray value matrix is identified, and one of the node frames is set as one of the nodes; the first identification unit is also used for The connection relationship between the nodes is generated according to the position of the arrow and the connecting line; the third recognition unit, the third recognition unit is used to recognize the text in each of the node frames through OCR text recognition technology, and generate the corresponding The scene description of the node.

Further, the query module 20 includes: a query unit configured to query the preset backbone scene corresponding to the current node from the preset address according to the scene description of the current node; a determination unit, the The determining unit is configured to determine that the connection relationship between the current node and the previous node is the backbone process if the preset backbone scene corresponding to the current node is queried from the preset address; If the preset backbone scene corresponding to the current node cannot be queried in the preset address, it is determined that the connection relationship between the current node and the previous node is a branch process; the query unit is further configured to The subsequent nodes connected to the current node are sequentially determined according to the position of the arrow and the connecting line, and the preset backbone scene corresponding to the subsequent node is queried from the preset address according to the scene description of the subsequent node; The determining unit is also used for confirming the connection relationship between the various nodes according to the query result.

Further, the query unit is further configured to query at least one of the preset branch scenes corresponding to the previous node from the preset address; according to the scene description of the current node, from the previous node The comparison among the corresponding preset branch scenes obtains a preset branch scene corresponding to the current node.

Further, the query module 20 further includes: an acquiring unit configured to acquire the necessary scene corresponding to the previous node, and determine whether the preset branch scene of each node connected to the previous node is Contains all the necessary scenes; a prompt unit configured to generate prompt information if the preset branch scenes of each node connected to the previous node do not contain all the necessary scenes.

Further, the export module 30 includes: an associating unit, the associating unit is used to associate the connection relationship between the nodes of the backbone process to form at least one backbone node chain; a receiving unit, the receiving unit is used to receive users The node chain selection operation made according to the backbone node chain; the association unit is further configured to associate preset backbone scenarios corresponding to each node in at least one of the backbone node chains according to the node chain selection operation, and The associated test codes corresponding to each of the preset backbone scenarios are combined to form a backbone use case; it is determined that the connection relationship with each node in the backbone node chain is the node of the branch process, which will correspond to the node of the branch process The test code of the preset branch scenario is filled into the main use case according to the connection relationship to form a test case.

Further, the query unit is also used to obtain the first keyword corresponding to the preset backbone scene, and determine whether the first keyword exists in the scene description of the node; if all the first keywords exist in the scene description If the first keyword is mentioned, the node is set to correspond to the preset backbone scene corresponding to the first keyword.

In addition, the present application also provides a computer-readable storage medium on which computer-readable instructions are stored. When the computer-readable instructions are executed by a processor, the steps of the above-mentioned interface update method are implemented. For the method implemented when the computer-readable instruction is executed, please refer to the various embodiments of the interface update method of this application, which will not be repeated here. In this application, the storage medium is specifically a non-volatile computer-readable storage medium.

It should be noted that in this article, the terms "include", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements not only includes those elements, It also includes other elements not explicitly listed, or elements inherent to the process, method, article, or system. If there are no more restrictions, the element defined by the sentence "including a..." does not exclude the existence of other identical elements in the process, method, article or system that includes the element. The serial numbers of the foregoing embodiments of the present application are only for description, and do not represent the advantages and disadvantages of the embodiments. Through the description of the above embodiments, those skilled in the art can clearly understand that the method of the above embodiments can be implemented by means of software plus the necessary general hardware platform. Of course, it can also be implemented by hardware, but in many cases the former is better.的实施方式。 Based on this understanding, the technical solution of this application essentially or the part that contributes to the existing technology can be embodied in the form of a software product, and the computer software product is stored in a storage medium (such as ROM/RAM) as described above. , Magnetic disk, optical disk), including several instructions to make a terminal device (can be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) execute the method described in each embodiment of the present application. The above are only preferred embodiments of this application, and do not limit the scope of this application. Any equivalent structure or equivalent process transformation made using the content of the description and drawings of this application, or directly or indirectly used in other related technical fields , The same reason is included in the scope of patent protection of this application.

Claims

A method for generating test cases, wherein the method for generating test cases includes:

Receiving a requirement document and analyzing the requirement document to generate a number of nodes corresponding to the requirement document, a scene description corresponding to the node, and the connection relationship between each of the nodes;

Query the preset test scene corresponding to each node from the preset address according to the scene description of each node;

The preset test scenarios corresponding to each of the nodes are associated according to the connection relationship between the nodes, and the test codes corresponding to each of the associated preset test scenarios are combined to form a test case. To
The test case generation method according to claim 1, wherein the requirement document is a flowchart; the receiving requirement document and analyzing the requirement document generate a number of nodes corresponding to the requirement document and corresponding The step of describing the scene description of the node and the connection relationship between each of the nodes includes:

Receiving the flowchart, comparing the flowchart with a preset graphic element template library, and identifying the positions of arrows and connecting lines in the flowchart;

Perform grayscale processing on the flowchart to generate a grayscale value matrix;

Identify the node frame in the gray scale matrix according to the gray value matrix in combination with the arrow and the position of the connecting line, and set one of the node frames as one of the nodes;

Generating the connection relationship between the nodes according to the arrow and the position of the connecting line;

The OCR text recognition technology is used to recognize the text in each of the node frames, and generate a scene description corresponding to the node.
The test case generation method according to claim 2, wherein the test scenario includes a preset backbone scenario and a preset branch scenario; and the query is related to each node from a preset address according to the scenario description of each node. The steps of the corresponding preset test scenario include:

Querying the preset backbone scene corresponding to the current node from the preset address according to the scene description of the current node;

If the preset backbone scene corresponding to the current node is queried from the preset address, determine the connection relationship between the current node and the previous node as the backbone process;

If the preset backbone scene corresponding to the current node cannot be found from the preset address, determining that the connection relationship between the current node and the previous node is a branch process;

Sequentially determine the subsequent nodes connected to the current node according to the arrow and the position of the connecting line, and query the preset backbone scene corresponding to the subsequent node from the preset address according to the scene description of the subsequent node;

Confirm the connection relationship between each of the nodes according to the query result.
The test case generation method according to claim 3, wherein, if the preset backbone scene corresponding to the current node cannot be queried from the preset address, it is determined that the current node and the After the connection relationship between the previous nodes is the step of the branch process, it also includes:

Querying at least one of the preset branch scenarios corresponding to the previous node from the preset address;

According to the scene description of the current node, a preset branch scene corresponding to the current node is obtained by comparing from the preset branch scene corresponding to the previous node.
The method for generating a test case according to claim 4, wherein, according to the scene description of the current node, a preset branch scene corresponding to the previous node is compared to obtain a preset branch scene corresponding to the current node. After the steps of setting up a branch scenario, include:

Acquiring the necessary scene corresponding to the previous node, and judging whether the preset branch scenes of each node connected to the previous node include all the necessary scenes;

If the preset branch scenes of the nodes connected to the previous node do not include all the necessary scenes, prompt information is generated.
The method for generating test cases according to claim 4, wherein the preset test scenarios corresponding to each of the nodes are associated according to the connection relationship between the nodes, and each of the associated preset test scenarios corresponds to The steps of combining the test code to form a test case include:

Associating the connection relationship with the nodes of the backbone process to form at least one backbone node chain;

Receiving a node chain selection operation made by a user according to the backbone node chain;

According to the node chain selection operation, the preset backbone scenes corresponding to each of the nodes in at least one backbone node chain are associated, and the test codes corresponding to each of the associated preset backbone scenes are combined to form the backbone Example;

It is determined that the connection relationship with each node in the backbone node chain is the node of the branch process, and the test code of the preset branch scene corresponding to the node of the branch process is filled in the test code according to the connection relationship. In the main use case, a test case is formed.
The test case generation method according to claim 3, wherein the step of querying the preset backbone scene corresponding to the node from the preset address according to the scene description of the node comprises:

Acquiring a first keyword corresponding to the preset backbone scene, and determining whether the first keyword exists in the scene description of the node;

If the first keyword exists in the scene description, the node is set to correspond to the preset backbone scene corresponding to the first keyword.
A test case generation device, wherein the test case generation device includes:

An analysis module, which is used to receive a demand document, analyze the demand document, and generate a number of nodes corresponding to the demand document, a scene description corresponding to the node, and the connection relationship between each node ；

A query module, where the query module is used for the scene description of each node to query the preset test scene corresponding to each node from the preset address;

An export module, which is configured to associate preset test scenarios corresponding to each of the nodes according to the connection relationship between each node, and combine the test codes corresponding to each of the associated preset test scenarios to form a test case .
8. The test case generation device according to claim 8, wherein the requirement document is a flowchart; the analysis module includes:

A first recognition unit, the first recognition unit is configured to receive the flowchart, compare the flowchart with a preset graphic element template library, and recognize the positions of arrows and connecting lines in the flowchart;

A gray-scale processing unit, which performs gray-scale processing on the flowchart to generate a gray-scale value matrix;

The second identification unit is configured to identify the node frame in the grayscale matrix in combination with the arrow and the position of the connecting line according to the grayscale value matrix, and set one of the node frames to one The node;

The first identification unit is further configured to generate the connection relationship between the nodes according to the position of the arrow and the connecting line;

A third recognition unit, the third recognition unit is configured to recognize the text in each of the node frames through OCR text recognition technology, and generate a scene description corresponding to the node.
9. The test case generation device according to claim 9, wherein the test scenario includes a preset trunk scenario and a preset branch scenario; the query module includes:

A query unit, the query unit is configured to query the preset backbone scene corresponding to the current node from the preset address according to the scene description of the current node;

A determining unit, the determining unit is configured to determine that the connection relationship between the current node and the previous node is the backbone if the preset backbone scene corresponding to the current node is queried from the preset address Process;

If the preset backbone scene corresponding to the current node cannot be found from the preset address, determining that the connection relationship between the current node and the previous node is a branch process;

The query unit is further configured to sequentially determine subsequent nodes connected to the current node according to the position of the arrow and the connecting line, and query the preset address corresponding to the subsequent node according to the scene description of the subsequent node The default backbone scene;

The determining unit is also used to confirm the connection relationship between the various nodes according to the query result.
10. The test case generation device according to claim 10, wherein the query unit is further configured to query at least one of the preset branch scenarios corresponding to the previous node from the preset address;

According to the scene description of the current node, a preset branch scene corresponding to the current node is obtained by comparing from the preset branch scene corresponding to the previous node.
A terminal, including a processor, a memory, a communicator, and computer readable instructions stored on the memory that can be executed by the processor, wherein the computer readable instructions are executed by the processor , To achieve the following steps:

Receiving a requirement document and analyzing the requirement document to generate a number of nodes corresponding to the requirement document, a scene description corresponding to the node, and the connection relationship between each of the nodes;

Query the preset test scene corresponding to each node from the preset address according to the scene description of each node;

The preset test scenarios corresponding to each of the nodes are associated according to the connection relationship between the nodes, and the test codes corresponding to each of the associated preset test scenarios are combined to form a test case.
The terminal according to claim 12, wherein the demand document is a flowchart; the receiving demand document, and analyzing the demand document, generate a number of nodes corresponding to the demand document, and the corresponding node The steps of the scene description and the connection relationship between each of the nodes include:

Receiving the flowchart, comparing the flowchart with a preset graphic element template library, and identifying the positions of arrows and connecting lines in the flowchart;

Perform grayscale processing on the flowchart to generate a grayscale value matrix;

Identify the node frame in the gray scale matrix according to the gray value matrix in combination with the arrow and the position of the connecting line, and set one of the node frames as one of the nodes;

Generating the connection relationship between the nodes according to the arrow and the position of the connecting line;

The OCR text recognition technology is used to recognize the text in each of the node frames, and generate a scene description corresponding to the node.
The terminal according to claim 13, wherein the test scene includes a preset backbone scene and a preset branch scene; and the preset address is queried for the preset address corresponding to each node according to the scene description of each node. The steps to set up a test scenario include:

Querying the preset backbone scene corresponding to the current node from the preset address according to the scene description of the current node;

If the preset backbone scene corresponding to the current node is queried from the preset address, determine the connection relationship between the current node and the previous node as the backbone process;

If the preset backbone scene corresponding to the current node cannot be found from the preset address, determining that the connection relationship between the current node and the previous node is a branch process;

Sequentially determine the subsequent nodes connected to the current node according to the arrow and the position of the connecting line, and query the preset backbone scene corresponding to the subsequent node from the preset address according to the scene description of the subsequent node;

Confirm the connection relationship between each of the nodes according to the query result.
The terminal according to claim 14, wherein, if the preset backbone scene corresponding to the current node cannot be queried from the preset address, it is determined that the current node and the previous node After the connection relationship between the steps of the branch process, it also includes:

Querying at least one of the preset branch scenarios corresponding to the previous node from the preset address;

According to the scene description of the current node, a preset branch scene corresponding to the current node is obtained by comparing from the preset branch scene corresponding to the previous node.
A computer-readable storage medium, wherein computer-readable instructions are stored on the computer-readable storage medium, and when the computer-readable instructions are executed by a processor, the following steps are implemented:

Receiving a requirement document and analyzing the requirement document to generate a number of nodes corresponding to the requirement document, a scene description corresponding to the node, and the connection relationship between each of the nodes;

Query the preset test scene corresponding to each node from the preset address according to the scene description of each node;

The preset test scenarios corresponding to each of the nodes are associated according to the connection relationship between the nodes, and the test codes corresponding to each of the associated preset test scenarios are combined to form a test case.
The computer-readable storage medium according to claim 16, wherein the requirement document is a flowchart; the receiving requirement document and analyzing the requirement document generate a number of nodes corresponding to the requirement document and corresponding The steps of the scene description of the node and the connection relationship between each of the nodes include:

Receiving the flowchart, comparing the flowchart with a preset graphic element template library, and identifying the positions of arrows and connecting lines in the flowchart;

Perform grayscale processing on the flowchart to generate a grayscale value matrix;

Identify the node frame in the gray scale matrix according to the gray value matrix in combination with the arrow and the position of the connecting line, and set one of the node frames as one of the nodes;

Generating the connection relationship between the nodes according to the arrow and the position of the connecting line;

The OCR text recognition technology is used to recognize the text in each of the node frames, and generate a scene description corresponding to the node.
17. The computer-readable storage medium according to claim 17, wherein the test scenario includes a preset backbone scenario and a preset branch scenario; and the query is made from a preset address according to the scenario description of each of the nodes. The steps of the preset test scenario corresponding to the node include:

Querying the preset backbone scene corresponding to the current node from the preset address according to the scene description of the current node;

If the preset backbone scene corresponding to the current node is queried from the preset address, determine the connection relationship between the current node and the previous node as the backbone process;

If the preset backbone scene corresponding to the current node cannot be found from the preset address, determining that the connection relationship between the current node and the previous node is a branch process;

Sequentially determine the subsequent nodes connected to the current node according to the arrow and the position of the connecting line, and query the preset backbone scene corresponding to the subsequent node from the preset address according to the scene description of the subsequent node;

Confirm the connection relationship between each of the nodes according to the query result.
The computer-readable storage medium according to claim 18, wherein if the preset backbone scene corresponding to the current node cannot be queried from the preset address, it is determined that the current node is After the above connection relationship between the nodes is the step of the branch process, it also includes:

Querying at least one of the preset branch scenarios corresponding to the previous node from the preset address;

According to the scene description of the current node, a preset branch scene corresponding to the current node is obtained by comparing from the preset branch scene corresponding to the previous node.
The computer-readable storage medium according to claim 19, wherein the scene description of the current node compares the preset branch scenes corresponding to the previous node to obtain one corresponding to the current node After the steps of presetting the branch scene, include:

Acquiring the necessary scene corresponding to the previous node, and judging whether the preset branch scenes of each node connected to the previous node include all the necessary scenes;

If the preset branch scenes of the nodes connected to the previous node do not include all the necessary scenes, prompt information is generated.