A test data configuration method, system, device, and medium

Abstract

The application provides a test data configuration method, system, device and medium, comprising: generating test data according to preset attributes and attribute ranges, storing the test data in a preset data table, each data item in the data table corresponding to an attribute; calling a business interface, comparing features of the business interface with data items in the data table to obtain a comparison result; and according to the comparison result, pulling corresponding data items from the data table to generate a test data set. The application can automatically complete test data construction according to business test requirements, reduce manual participation, and improve efficiency.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of intelligent testing application, in particular to a test data configuration method, system, device and medium. BACKGROUND

[0002] With the rapid development of science and technology, a remarkable feature of this era is the vigorous development of the software industry, which not only has an important influence on people's life, but also gradually has an increasingly deep relationship with various industries through various software products. Under this situation, the quality inspection and testing of software products have become the focus of attention, and thus software testing is an important way to improve software reliability and ensure software product instructions. Software testing is active in all stages of the software life cycle, and the testing methods and testing tools related to software testing are increasingly improved.

[0003] In the process of software requirement, development and testing, test data will inevitably be used, but in the scene of using test data, either existing system data is used or some data needs to be manually manufactured. Because the business system data is diverse and changes rapidly, in the process of manually manufacturing data, special data must follow its data format, which may require a lot of effort and workload, and this work is not only complicated but also prone to errors. For example, a batch of user three elements (name, mobile phone number, ID card) needs to be constructed, a batch of bank card data needs to be constructed, or a batch of address address book needs to be constructed. The existing scheme needs to manually configure the database table, and the operator needs to consider the relevance of various test data and design, which requires high professional requirements for the operator, and the whole process is time-consuming and laborious, and the efficiency is low. SUMMARY

[0004] The purpose of the present application is to provide a test data configuration method, system, device and medium to solve the problem of low reliability and efficiency of manually constructing test data in the prior art.

[0005] In order to achieve the above purpose, the technical scheme adopted by the present application is as follows:

[0006] The present application provides a test data configuration method, comprising:

[0007] Generating test data according to the preset attribute and attribute range, storing the test data in a preset data table, and each data item in the data table corresponds to an attribute;

[0008] Calling a business interface, comparing the characteristics of the business interface with the data items in the data table, and obtaining a comparison result;

[0009] According to the comparison result, the corresponding data item is pulled from the data table to generate a test data set.

[0010] In an embodiment of the present application, before generating test data according to the preset attribute and the attribute range, the following steps are included:

[0011] A rule library is constructed, and the rule library stores the association between the preset attribute and the corresponding attribute range;

[0012] A historical test data set and current business data are obtained, and business features of the current business data and test features of the historical test data set are extracted;

[0013] The business features are compared with the test features, and test features with a similarity to the business features reaching a set threshold are obtained as matching features;

[0014] The rule library is searched according to the matching features, and an attribute and an attribute range corresponding to the current business data are obtained.

[0015] In an embodiment of the present application, after generating test data according to the preset attribute and the attribute range, the test data is stored in a preset data table, and the following steps are included:

[0016] A parameter script is generated according to the attribute and the attribute range;

[0017] The parameter script is input into a preset script template to replace corresponding parameters in the script template, and a configuration script is obtained;

[0018] Output data of the configuration script is stored in a preset data table to generate data items in the data table.

[0019] In an embodiment of the present application, a business interface is called, and features of the business interface are compared with data items in the data table, and the following steps are included:

[0020] A description text of the business interface is obtained;

[0021] Features of the description text are extracted as features of the business interface;

[0022] The features of the business interface are compared with features of each data item in the data table in terms of similarity.

[0023] In an embodiment of the present application, according to the comparison result, a corresponding data item is pulled from the data table to generate a test data set, and the following steps are included:

[0024] Data item features with a similarity to the features of the business interface reaching a preset similarity threshold are taken as matching data item features, a data item corresponding to the matching data item features is pulled and stored in a temporary table;

[0025] After all the data item pulling operations are completed, the staging table is associated with the business interface to obtain a test data set of the business interface.

[0026] The application further provides a test data configuration system, comprising:

[0027] a data table construction module configured to generate test data according to preset attributes and attribute ranges, and store the test data in a preset data table, each data item in the data table corresponding to one attribute;

[0028] a data comparison module configured to call a business interface, compare features of the business interface with data items in the data table, and obtain a comparison result;

[0029] a data set creation module configured to pull corresponding data items from the data table according to the comparison result, and generate a test data set.

[0030] The application further provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the test data configuration method when executing the computer program.

[0031] The application further provides a computer readable storage medium, which stores a computer program, wherein the computer program is executable on a processor to implement the steps of the test data configuration method.

[0032] The application has the following beneficial effects:

[0033] The application generates test data according to preset attributes and attribute ranges, stores the test data in a preset data table, each data item in the data table corresponding to one attribute, calls a business interface, compares features of the business interface with data items in the data table, obtains a comparison result, and pulls corresponding data items from the data table according to the comparison result to generate a test data set. The application automatically constructs test data through attributes and attribute ranges, does not rely on manual work, reduces labor costs, improves efficiency, can adapt to a business interface to further construct a test data set required by the business interface, realizes reuse of the data table, does not need to repeatedly construct test data for each test, simplifies the test data construction link, and improves processing efficiency. BRIEF DESCRIPTION OF DRAWINGS

[0034] Figure 1 FIG. 1 is a flowchart of a test data configuration method according to an embodiment of the application.

[0035] Figure 2 FIG. 2 is a module diagram of a test data configuration system according to an embodiment of the application.

[0036] Figure 3A schematic structural diagram of a device in an embodiment of the present application.

[0037] Figure 4 A schematic structural diagram of a device in another embodiment of the present application. DETAILED DESCRIPTION

[0038] Other advantages and effects of the present application can be easily understood by those skilled in the art from the disclosure of the present specification. The present application can also be implemented or applied through other different specific embodiments, and various modifications or changes can be made to the details of the present specification based on different views and applications without departing from the spirit of the present application. It should be understood that the preferred embodiments are only for illustrating the present application, but not for limiting the protection scope of the present application.

[0039] It should be noted that the diagrams provided in the following embodiments only schematically illustrate the basic concept of the present application, and only the components related to the present application are shown in the diagrams, but not drawn according to the number, shape and size of the components in actual implementation. The shapes, number and proportions of the components in actual implementation can be arbitrarily changed, and the layout pattern of the components can also be more complex.

[0040] Referring to Figure 1 The present application provides a test data configuration method, which comprises the following steps.

[0041] In step S01, test data is generated according to preset attributes and attribute ranges, and the test data is stored in a preset data table, wherein each data item in the data table corresponds to an attribute.

[0042] In an embodiment, the test data with correlation can be generated according to the relationship between the attributes and attribute ranges of the test data to be constructed, so as to avoid generating invalid data and affecting business testing.

[0043] In an embodiment, before the test data is generated according to the preset attributes and attribute ranges, the following steps are included:

[0044] In step S101, a rule library is constructed, and the rule library stores the correlation relationship between the preset attributes and corresponding attribute ranges.

[0045] In an embodiment, the rule library can be constructed in advance, and the rule library is used to store the attributes associated with each business and the value range of the attribute, so as to establish the correlation relationship between the attribute and the attribute range. The correlation relationship can be called from the rule library for data construction, so as to obtain the test data with correlation.

[0046] In step S102, a historical test data set of a related business and current business data are acquired, and business features of the current business data and test features of the historical test data set are extracted.

[0047] In an embodiment, the historical test data set of the related business can be arranged, and attribute features in the historical test data set are extracted by a neural network, so as to perform correlation attribute matching based on the test data set of the related business when testing a new business, and construct a test data set of the new business. The features of the current business data are compared with the features in the historical test data set in terms of similarity, and then attribute information that can be used for current business testing is determined. Data reference is provided for a tester to select test data attributes that need to be constructed.

[0048] In step S103, the business features are compared with the test features, and test features that have a similarity to the business features reaching a set threshold value are obtained as matching features.

[0049] In an embodiment, the business features and the test features can be converted into corresponding feature vectors, and a norm distance or an Euclidean distance of the two feature vectors is calculated to obtain a similarity value. It is determined whether the similarity value meets a preset similarity threshold value. If the similarity threshold value is met, the corresponding test features are taken as the matching features of the business features. In this way, multiple matching features of the current business data can be determined. The matching features can be output to a terminal corresponding to a tester, and the tester confirms whether the matching features are applicable to current business testing.

[0050] In step S104, a rule base is searched according to the matching features, and attributes and attribute ranges corresponding to the current business data are obtained.

[0051] In an embodiment, after it is confirmed that the matching features can be used for current business testing, the attribute ranges of the corresponding attributes can be searched from the rule base based on the matching features, and then it is ensured that the constructed test data is valid data, and the test data is guaranteed to have correlation.

[0052] In an embodiment, test data is generated according to the preset attributes and the attribute ranges, and the test data is stored in a preset data table, including:

[0053] A parameter script is generated according to the attributes and the attribute ranges;

[0054] The parameter script is input into a preset script template to replace corresponding parameters in the script template, and a configuration script is obtained.

[0055] Output data of the configuration script is stored in a preset data table to generate data items in the data table.

[0056] In an embodiment, after obtaining the attribute and the attribute range from the rule base, a parameter script can be generated based on the attribute and the attribute range. A script template for constructing test data can be generated in advance by calling a corresponding function of the Faker library of Python, and an anchor point is set at a corresponding position of an attribute parameter and an attribute range parameter of the script template. The parameter script is connected through the anchor point, so that a corresponding parameter in the parameter script is replaced with the original script code in the script template through the anchor point, so as to realize script reuse and generate a configuration script required for current business testing. Each data item corresponding to each attribute can be generated by cyclically calling the configuration script. Specifically, the following steps can be included:

[0057] Step 1, prepare a python3 environment;

[0058] Step 2, input the command 'pip install Faker' in the terminal command line to install the Faker library;

[0059] Step 3, input 'from faker import Faker' in the python file to import the Faker library;

[0060] Step 4, call various methods of the Faker library to generate test data;

[0061] Step 5, cyclically call the Faker library method and save it as a CSV file;

[0062] Step 6, call the system interface to achieve the testing purpose in cooperation with the test data CSV file.

[0063] In an embodiment, other programming languages can also be used to construct the script template, which is not limited here.

[0064] Step S02, calling a business interface, comparing the characteristics of the business interface with the data items in the data table, and obtaining a comparison result.

[0065] In an embodiment, calling a business interface, comparing the characteristics of the business interface with the data items in the data table, includes the following steps:

[0066] Obtaining a description text of the business interface;

[0067] Extracting the characteristics of the description text as the characteristics of the business interface;

[0068] Comparing the characteristics of the business interface with the characteristics of each data item in the data table.

[0069] In an embodiment, feature extraction can be performed by calling the description text of the business interface, and similarity comparison can be performed based on the extracted features and the features of the data items in the data table. The entire process from feature extraction to similarity comparison can be completed by a recurrent neural network.

[0070] Step S03, according to the comparison result, the corresponding data item is pulled from the data table to generate a test data set.

[0071] In an embodiment, according to the comparison result, the corresponding data item is pulled from the data table to generate a test data set, comprising:

[0072] The data item feature with a similarity to the feature of the business interface reaching a preset similarity threshold is taken as a matching data item feature, and the data item corresponding to the matching data item feature is pulled and stored in a temporary table;

[0073] After completing all data item pulling operations, the temporary table is associated with the business interface to obtain a test data set of the business interface.

[0074] In an embodiment, taking the personal information containing name, identity number, phone number, and address information as an example, the code is as follows:

[0075] class FakerDemo:

[0076] def __init__(self):

[0077] self.fake = Faker("zh-CN")

[0078] #If the test data is produced based on China, add 'zh-CN' in the parameter

[0079] def person(self, count):

[0080] msg = ""

[0081] for i in range(count):

[0082] name = self.fake.name()

[0083] IDnum=self.fake.ssn(min_age=18,max_age=100)

[0084] #Generate identity card test data according to the minimum age of 18 and the maximum age of 100

[0085] phone = self.fake.phone_number()

[0086] address = self.fake.address()

[0087] msg += f"{name},{IDnum},{phone},{address}\n"

[0088] return msg

[0089] The above code segment can generate multiple sets of test data related to personal information through a loop;

[0090] Call the step 3 method class and write the generated test data to the CSV file. Immediately after step 3, continue to write code in the python file, as follows:

[0091] if __name__ == '__main__':

[0092] f = FakerDemo()

[0093] # Generate 10 people's information (name, ID number, phone, address)

[0094] data = f.person(10)

[0095] with open("data.csv", "w") as d:

[0096] d.write(data)

[0097] The above code segment generates 10 people's personal relevance test data and creates a CSV file in the same path as the current python file;

[0098] The generated test data is saved in the CSV file, which can be tested by various interface testing tools such as jmeter, or still use python to write programs to use the CSV file to call the interface, complete the interface parameterization. Through the connection of interfaces, the purpose of business function testing can be achieved. For example, if the system has a create address book function, you can use the first and third columns of data in the CSV file (name, phone) to call the address book creation interface.

[0099] Based on the above scheme, it can automatically generate relevance data, reduce the large amount of time and energy consumed by testers in preparing test data, and enable them to focus more on the implementation of the testing phase, improving the efficiency of the testing work.

[0100] The embodiment provides a test data configuration system for performing the test data configuration method described in the foregoing method embodiment. Since the technical principle of the system embodiment is similar to that of the foregoing method embodiment, the same technical details are not repeated.

[0101] Referring to Figure 2 In an embodiment, the test data configuration system comprises: a data table construction module 10 configured to generate test data according to preset attributes and attribute ranges, and store the test data in a preset data table, each data item in the data table corresponding to an attribute; a data comparison module 11 configured to call a business interface, compare features of the business interface with data items in the data table, and obtain a comparison result; and a data set creation module 12 configured to pull corresponding data items from the data table according to the comparison result, and generate a test data set.

[0102] The embodiment of the present application further provides a device, which can comprise: one or more processors; and one or more machine readable media having instructions stored thereon, which, when executed by the one or more processors, cause the device to perform the test data configuration method. In actual application, the device can be a terminal device or a server, and examples of the terminal device can include: a smart phone, a tablet computer, an e-book reader, an MP3 (Moving Picture Experts Group Audio Layer III) player, an MP4 (Moving Picture Experts Group Audio Layer IV) player, a laptop computer, an on-board computer, a desktop computer, a set-top box, a smart television, a wearable device, and the like. The embodiment of the present application is not limited to a specific device.

[0103] The embodiment of the present application further provides a non-volatile readable storage medium, which stores one or more programs, and when the one or more programs are applied to a device, the device can execute instructions of steps included in the test data configuration method of the embodiment of the present application.

[0104] Figure 3The hardware structure schematic diagram of the terminal device provided by an embodiment of the present application is shown in the figure. As shown in the figure, the terminal device can include an input device 1100, a first processor 1101, an output device 1102, a first memory 1103, and at least one communication bus 1104. The communication bus 1104 is used to realize the communication connection between the elements. The first memory 1103 can include a high-speed RAM memory, and can also include a non-volatile storage NVM, for example, at least one disk memory. Various programs can be stored in the first memory 1103, used to complete various processing functions and realize the method steps of the embodiment.

[0105] Optionally, the first processor 1101 can be a central processing unit (CPU), an application specific integrated circuit (ASIC), a digital signal processor (DSP), a digital signal processing device (DSPD), a programmable logic device (PLD), a field programmable gate array (FPGA), a controller, a microcontroller, a microprocessor, or other electronic elements, which is coupled to the input device 1100 and the output device 1102 through wired or wireless connection.

[0106] Optionally, the input device 1100 can include various input devices, for example, at least one of a user interface facing a user, a device interface facing a device, a programmable interface of software, a camera, and a sensor. Optionally, the device interface facing a device can be a wired interface for data transmission between devices, and can also be a hardware insertion interface (for example, a USB interface, a serial port, etc.) for data transmission between devices. Optionally, the user interface facing a user can be, for example, a control button facing a user, a voice input device for receiving voice input, and a touch sensing device (for example, a touch screen with touch sensing function, a touchpad, etc.) for receiving user touch input. Optionally, the programmable interface of software can be, for example, an entrance for a user to edit or modify a program, for example, an input pin interface or an input interface of a chip, etc. The output device 1102 can include a display, a sound device, etc.

[0107] In the embodiment, the processor of the terminal device includes functions for executing each module of the voice recognition device in each device. The specific functions and technical effects can refer to the above-mentioned embodiments, and will not be described here.

[0108] Figure 4 The hardware structure schematic diagram of the terminal device provided by another embodiment of the present application is shown in the figure. Figure 4 is to Figure 3 In one specific embodiment in the implementation process. As shown in the figure, the terminal device of the embodiment can include a second processor 1201 and a second memory 1202.

[0109] The second processor 1201 executes computer program codes stored in the second memory 1202 to implement the above-described embodiments Figure 1 The method.

[0110] The second memory 1202 is configured to store various types of data to support the operation of the terminal device. Examples of these data include instructions for any application or method operating on the terminal device, such as messages, pictures, videos, etc. The second memory 1202 can contain random access memory (RAM) and can also include non-volatile memory, such as at least one disk memory.

[0111] Optionally, the second processor 1201 is arranged in the processing component 1200. The terminal device can further include a communication component 1203, a power supply component 1204, a multimedia component 1205, a voice component 1206, an input / output interface 1207, and / or a sensor component 1208. The terminal device specifically contains components, etc. according to the actual demand setting, and the embodiment does not limit this.

[0112] The processing component 1200 generally controls the overall operation of the terminal device. The processing component 1200 can include one or more second processors 1201 to execute instructions to complete all or part of the steps of the above-described Figure 1 The method. In addition, the processing component 1200 can include one or more modules to facilitate interaction between the processing component 1200 and other components. For example, the processing component 1200 can include a multimedia module to facilitate the interaction between the multimedia component 1205 and the processing component 1200.

[0113] The power supply component 1204 supplies power to various components of the terminal device. The power supply component 1204 can include a power supply management system, one or more power supplies, and other components associated with generating, managing and distributing power to the terminal device.

[0114] The multimedia component 1205 includes a display screen that provides an output interface between the terminal device and the user. In some embodiments, the display screen can include a liquid crystal display (LCD) and a touch panel (TP). If the display screen includes a touch panel, the display screen can be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touches, swipes and gestures on the touch panel. The touch sensor can not only sense the boundary of a touch or swipe action, but also detect the duration and pressure associated with the touch or swipe operation.

[0115] The voice component 1206 is configured to output and / or input voice signals. For example, the voice component 1206 includes a microphone (MIC) configured to receive external voice signals when the terminal device is in an operating mode, such as a voice recognition mode. The received voice signals can be further stored in the second memory 1202 or transmitted via the communication component 1203. In some embodiments, the voice component 1206 also includes a speaker for outputting voice signals.

[0116] The input / output interface 1207 provides an interface between the processing component 1200 and peripheral interface modules, which can be a click wheel, buttons, and the like. These buttons can include, but are not limited to, volume buttons, start buttons, and lock buttons.

[0117] The sensor component 1208 includes one or more sensors for providing various aspects of state evaluation for the terminal device. For example, the sensor component 1208 can detect an open / closed state of the terminal device, relative positioning of components, presence or absence of user contact with the terminal device. The sensor component 1208 can include a proximity sensor configured to detect the presence of nearby objects without any physical contact, including detecting the distance between a user and the terminal device. In some embodiments, the sensor component 1208 can also include a camera or the like.

[0118] The communication component 1203 is configured to facilitate wired or wireless communication between the terminal device and other devices. The terminal device can access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In one embodiment, the terminal device can include a SIM card slot for inserting a SIM card, so that the terminal device can log in to a GPRS network and establish communication with a server through the Internet.

[0119] As can be seen from the above, the communication component 1203, the voice component 1206, and the input / output interface 1207 and the sensor component 1208 involved in the embodiments can be implemented as an input device in the embodiments. Figure 4 Figure 3

[0120] The above embodiments are only preferred embodiments for fully illustrating the present application, and the protection scope of the present application is not limited thereto. Any equivalent substitutions or transformations made by those skilled in the art based on the present application are within the protection scope of the present application.​​

Claims

1. A test data configuration method, characterized in that, include: Test data is generated based on preset attributes and attribute ranges, and the test data is stored in a preset data table, where each data item in the data table corresponds to one of the attributes; Before generating test data based on preset attributes and attribute ranges, the process includes: constructing a preset rule base, which stores the association between the preset attributes and their corresponding attribute ranges; acquiring historical test datasets and current business data, extracting business features from the current business data and test features from the historical test datasets; comparing the business features with the test features to obtain test features with a similarity of up to a set threshold as matching features; and retrieving the rule base based on the matching features to obtain the attributes and attribute ranges corresponding to the current business data. Call the business interface, compare the features of the business interface with the data items in the data table, and obtain the comparison result; Based on the comparison results, the corresponding data items are retrieved from the data table to generate a test dataset.

2. The test data configuration method according to claim 1, characterized in that, Test data is generated based on preset attributes and attribute ranges, and the test data is stored in a preset data table, including: Generate a parameter script based on the attributes and attribute ranges; The parameter script is input into a preset script template to replace the corresponding parameters in the script template, thus obtaining the configuration script; The output data of the configuration script is stored in a preset data table to generate data items in the data table.

3. The test data configuration method according to claim 1, characterized in that, Calling the business interface and comparing the features of the business interface with the data items in the data table includes: Obtain the description text of the business interface; Extract the features of the description text as the features of the business interface; The similarity of the features of the business interface with the features of each data item in the data table is compared.

4. The test data configuration method according to claim 1, characterized in that, Based on the comparison results, the corresponding data items are retrieved from the data table to generate a test dataset, including: Data item features whose similarity to the features of the business interface reaches a preset similarity threshold are used as matching data item features. Data items corresponding to the matching data item features are retrieved and stored in a temporary table. After completing the data retrieval operation for all data items, the temporary storage table is associated with the business interface to obtain the test dataset of the business interface.

5. A test data configuration system, characterized in that, include: The data table construction module is used to generate test data according to preset attributes and attribute ranges, and store the test data in a preset data table, wherein each data item in the data table corresponds to one of the attributes; Before generating test data based on preset attributes and attribute ranges, the process includes: constructing a preset rule base, which stores the association between the preset attributes and their corresponding attribute ranges; acquiring historical test datasets and current business data, extracting business features from the current business data and test features from the historical test datasets; comparing the business features with the test features to obtain test features with a similarity of up to a set threshold as matching features; retrieving the rule base based on the matching features to obtain the attributes and attribute ranges corresponding to the current business data; and a data comparison module, used to call a business interface to compare the features of the business interface with the data items in the data table to obtain comparison results. The dataset creation module retrieves the corresponding data items from the data table based on the comparison results to generate a test dataset.

6. A computer device, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the processor, when executing the computer program, implements the steps of the method according to any one of claims 1 to 4.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 4.

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