CN110119353B - Test data generation method and device, controller and medium - Google Patents
Test data generation method and device, controller and medium Download PDFInfo
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- CN110119353B CN110119353B CN201910314327.9A CN201910314327A CN110119353B CN 110119353 B CN110119353 B CN 110119353B CN 201910314327 A CN201910314327 A CN 201910314327A CN 110119353 B CN110119353 B CN 110119353B
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Abstract
The invention relates to a test data generation method, a device, a controller and a medium, wherein the method comprises the steps of obtaining test requirement information; analyzing the test requirement information and generating a corresponding test instruction; and calling a pre-stored interface test case and/or test script according to the test instruction to generate test data. According to the invention, the test data can be quickly generated according to the requirements of the user, the manual operation time is reduced, the test cost is reduced, and the test efficiency is improved.
Description
Technical Field
The present invention relates to the field of automated testing technologies, and in particular, to a method and apparatus for generating test data, and a controller and a medium.
Background
Along with large-area popularization of the micro-service architecture, the calling relationship among the systems is more and more complex, and correspondingly, more complex test cases are required to cover the complex calling scenes, so that the test cost is gradually increased. For automated testing, more different states, different types of test data are required to satisfy the execution of test cases. The generation of test data is a cumbersome and complex process that often requires a significant amount of time for the tester to complete. For example: when testing and paying, a large amount of different types of order data are needed, such as personal order testing, enterprise order testing data, optional order data, non-optional order data, financial scheme order data, non-financial scheme order data, and the like, and if the two types of data are only needed to be manually generated, a large amount of time is needed for testing personnel to input, the testing cost is high, and the testing efficiency is low.
Disclosure of Invention
The invention aims to solve the technical problem of providing a test data generation method and device, a controller and a medium, which can quickly generate test data according to the requirements of users, reduce the manual operation time, reduce the test cost and improve the test efficiency.
In order to solve the above technical problem, according to a first embodiment of the present invention, there is provided a test data generating method including:
acquiring test requirement information;
analyzing the test requirement information and generating a corresponding test instruction;
and calling a pre-stored interface test case and/or test script according to the test instruction to generate test data.
Further, the test requirement information comprises test requirement sentences input by a user on the interactive interface.
Further, the analyzing the test requirement information and generating a corresponding test instruction include:
performing word segmentation processing on the test requirement information to obtain word segmentation results;
inputting the word segmentation result into a pre-established intention classification model, and identifying the intention of a user;
extracting slot position information from the test requirement information;
and generating corresponding test instructions based on the user intention and the slot position information.
Further, the user intention comprises generating a required test script, executing a required interface test case or test script, and querying the interface test case or test script;
the slot information includes a name slot and a number slot.
Further, the step of retrieving the pre-stored interface test case and/or test script according to the test instruction to generate test data includes:
if the user intends to generate the required test script, calling the interface test case and/or the test script corresponding to the name slot, executing the times corresponding to the number of slots, if the number of slots is not available, executing the times, generating the required test script, and if the interface test case and/or the test script corresponding to the name slot is not available, returning corresponding error information;
if the user intends to execute the required interface test case or test script, calling the interface test case or test script corresponding to the name slot, executing the number of times corresponding to the number of slots, if the number of slots is not available, executing the number of times, and if the number of slots is not available, returning corresponding error information;
if the user intends to query the interface test case or test script, the interface test case or test script corresponding to the name slot is called, and returned to the user interface, and if the interface test case or test script corresponding to the name slot is not available, the corresponding error information is returned.
Further, the method further comprises the step of establishing the intention classification model, and specifically comprises the following steps:
and inputting a word segmentation result as a model to input a single-layer neural network model, wherein an intention category corresponding to the word segmentation result is used as output of the single-layer neural network model, and training the single-layer neural network model based on a plurality of groups of word segmentation results and corresponding intention categories to obtain the intention classification model.
According to a second embodiment of the present invention, there is provided a test data generating apparatus including:
the test requirement acquisition module is configured to acquire test requirement information;
the test instruction generation module is configured to analyze the test requirement information and generate a corresponding test instruction;
and the test data generation module is configured to call a pre-stored interface test case and/or test script according to the test instruction to generate test data.
Further, the test requirement information comprises test requirement sentences input by a user on the interactive interface.
Further, the test instruction generating module includes:
the word segmentation processing unit is configured to perform word segmentation processing on the test requirement information to obtain word segmentation results;
the intention recognition unit is configured to input the word segmentation result into a pre-established intention classification model and recognize the intention of a user;
a slot information extraction unit configured to extract slot information from the test requirement information;
and the test instruction generating unit is configured to generate corresponding test instructions based on the user intention and the slot position information.
Further, the user intention comprises generating a required test script, executing a required interface test case or test script, and querying the interface test case or test script;
the slot information includes a name slot and a number slot.
Further, the test data generating module includes:
the first test data generating unit is configured to call the interface test cases and/or test scripts corresponding to the name slots if the user intends to generate the required test scripts, execute the number of times corresponding to the number of slots, execute the number of times if the number of slots does not exist, generate the required test scripts, and return corresponding error information if the number of times does not exist;
the second test data generating unit is configured to call the interface test cases or test scripts corresponding to the name slots if the user intends to execute the required interface test cases or test scripts, execute the number of times corresponding to the number of slots, execute the number of times if the number of slots is not available, and return corresponding error information if the number of times corresponding to the name slots is not available;
and the third test data generating unit is configured to call the interface test case or the test script corresponding to the name slot if the user intends to query the interface test case or the test script, return to the user interface, and return corresponding error information if the interface test case or the test script corresponding to the name slot does not exist.
Further, the device further comprises an intention classification model building module, wherein the intention classification model building module is configured to input a word segmentation result as an input of a single-layer neural network model, an intention category corresponding to the word segmentation result is used as an output of the single-layer neural network model, and training is performed on the single-layer neural network model based on a plurality of groups of the word segmentation result and the corresponding intention category to obtain the intention classification model.
According to a third embodiment of the present invention, there is provided a controller comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, is capable of carrying out the steps of the method.
According to a fourth embodiment of the present invention, a computer-readable storage medium is provided for storing computer instructions which, when executed by a computer or processor, implement the steps of the method.
Compared with the prior art, the invention has obvious advantages and beneficial effects. By means of the technical scheme, the test data generation method, the device, the controller and the medium can achieve quite technical progress and practicality, and have wide industrial application value, and the method has at least the following advantages:
according to the invention, the test data can be quickly generated according to the requirements of the user, the automatic test can be quickly developed by the auxiliary tester, the manual generation process of the test data is saved, the manual operation time is shortened, the test cost is reduced, and the test efficiency is improved.
The foregoing description is only an overview of the present invention, and is intended to be implemented in accordance with the teachings of the present invention, as well as the preferred embodiments thereof, together with the following detailed description of the invention, given by way of illustration only, together with the accompanying drawings.
Drawings
FIG. 1 is a schematic diagram of a test data generating method according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a test data generating apparatus according to an embodiment of the invention.
[ symbolic description ]
1: test requirement acquisition module 2: test instruction generation module
3: test data generation module
Detailed Description
In order to further describe the technical means and effects adopted by the present invention to achieve the preset purposes, the following detailed description refers to a specific implementation and effects of a test data generating method, a device, a controller and a medium according to the present invention with reference to the accompanying drawings and preferred embodiments.
The embodiment of the invention provides a test data generation method, as shown in fig. 1, comprising the following steps:
s1, acquiring test requirement information;
as an example, the test requirement information includes test requirement sentences entered by the user at the interactive interface, for example: "give me 10 vehicle orders", "execute 5 App services".
S2, analyzing the test requirement information and generating a corresponding test instruction;
as an example, step S2 includes:
s21, performing word segmentation processing on the test requirement information to obtain word segmentation results;
for example, for a sentence input by a user, using a custom dictionary and a stop word dictionary, stop words are removed from the sentence, and then word segmentation is performed by using a Chinese word segmentation tool. The custom dictionary contains test case names, script names and the like stored in the database server; and the stop words are words such as ' having ', ' and punctuation marks and the like in the sentences, which have no influence on the meaning of the sentences, and the word segmentation result can be a set formed by single words.
S22, inputting the word segmentation result into a pre-established intention classification model, and identifying the intention of a user;
the user intention comprises generating a required test script, executing a required interface test case or test script, and inquiring the interface test case or test script;
s23, extracting slot position information from the test requirement information;
the slot position information comprises a name slot and a number of slots, for example, 10 vehicle orders are given to me, wherein 10 is the number of slots, and the vehicle order is the name slot. The number slots can be obtained by part-of-speech recognition of the word segmentation result, and the name slots can be obtained by dictionary matching.
And step S24, generating a corresponding test instruction based on the user intention and the slot position information.
The method further comprises the step of establishing the intention classification model, and specifically comprises the following steps:
the word segmentation result is used as the input of the model input single-layer neural network model, for example, the word segmentation result of 1000 sentences can be adopted. And taking the intention category corresponding to the word segmentation result as the output of the single-layer neural network model, and training the single-layer neural network model based on a plurality of groups of the word segmentation result and the corresponding intention category to obtain the intention classification model.
As one example, the intent classification model may be implemented with the Google open source tool Tensorflow, where the word embedding layer uses the Tensorflow's own mapping tool to map words into vector form; the convolution layer carries out convolution operation on the input vector and carries out feature extraction; the pooling layer extracts the output vector of the convolution layer again to obtain the most important vector; the output layer performs classification calculation by using a softmax classifier, calculates the probability of each category, and the category with the highest probability is the intention category of the current input sentence.
And step S3, calling a pre-stored interface test case and/or test script according to the test instruction to generate test data.
The interface test cases and test scripts stored in advance can be written and stored in the database by a tester, and the written interface test cases and test scripts can be directly imported and used, wherein the interface test cases comprise actual request heads, request bodies, request addresses, assertion contents, parameters required to be extracted in response to results and the like. The test script is used for processing the test case to develop a test.
As an example, step S3 includes:
step S31, if the user intends to generate the required test script, calling the interface test case and/or the test script corresponding to the name slot, executing the number of times corresponding to the number of slots, if the number of slots is not available, executing the number of times, generating the required test script, and if the interface test case and/or the test script corresponding to the name slot is not available, returning corresponding error information;
step S32, if the user intends to execute the required interface test case or test script, calling the interface test case or test script corresponding to the name slot, executing the number of times corresponding to the number of slots, if the number of slots is not available, executing the number of times, and if the number of slots is not available, returning corresponding error information;
step S33, if the user intends to query the interface test case or test script, calling the interface test case or test script corresponding to the name slot, returning to the user interface, and if the interface test case or test script corresponding to the name slot is not available, returning corresponding error information.
As an example, a large amount of different types of test data are required during test payment, such as a personal order test, an enterprise order test data, an optional test data, and the like, and different flows are required for different types of orders, so that according to the method disclosed by the embodiment of the invention, only the following steps are required to be input in an interactive interface: the corresponding test data can be obtained quickly by creating 1 personal vehicle order, 2 enterprise orders, 3 optional vehicle orders, 4 optional vehicle orders and the like, so that the manual operation time is shortened, the test cost is reduced, and the test efficiency is improved.
The embodiment of the invention also provides a test data generating device, as shown in fig. 2, which comprises a test requirement acquiring module 1, a test instruction generating module 2 and a test data generating module 3, wherein the test requirement acquiring module 1 is configured to acquire test requirement information, and the test requirement information comprises test requirement sentences input by a user at an interactive interface, for example: "give me 10 vehicle orders", "execute 5 App services". The test instruction generation module 2 is configured to analyze the test requirement information and generate a corresponding test instruction; the test data generating module 3 is configured to call a pre-stored interface test case and/or test script according to the test instruction to generate test data, where the pre-stored interface test case and test script can be written and stored in the database by a tester, or the written interface test case and test script can be directly imported and used, where the interface test case includes an actual request header, a request body, a request address, an assertion content, and parameters that need to be extracted in response to a result, and the like. The test script is used for processing the test case to develop a test.
As an example, the test instruction generating module 2 includes a word segmentation processing unit, an intention recognition unit, a slot information extraction unit, and a test instruction generating unit, where the word segmentation processing unit is configured to perform word segmentation processing on the test requirement information to obtain a word segmentation result, for example, the word segmentation processing unit uses a custom dictionary and a stop word dictionary to remove stop words from a sentence, and then uses a word segmentation tool in the crust to segment words. The custom dictionary contains test case names, script names and the like stored in the database server; and the stop words are words such as ' having ', ' and punctuation marks and the like in the sentences, which have no influence on the meaning of the sentences, and the word segmentation result can be a set formed by single words. The intention recognition unit is configured to input the word segmentation result into a pre-established intention classification model, and recognize the user intention, wherein the user intention comprises the steps of generating a required test script, executing a required interface test case or test script, and inquiring the interface test case or the test script. The slot information extraction unit is configured to extract slot information from the test requirement information, wherein the slot information comprises a name slot and a number of slots, for example, 10 orders for vehicles are given, wherein 10 is the number of slots, and vehicle orders are the name slots. The number slots can be obtained by part-of-speech recognition of the word segmentation result, and the name slots can be obtained by dictionary matching. The test instruction generation unit is configured to generate a corresponding test instruction based on the user intention and the slot information.
The device further comprises an intention classification model building module, wherein the intention classification model building module is configured to input a word segmentation result as an input of a single-layer neural network model, the intention category corresponding to the word segmentation result is used as an output of the single-layer neural network model, and training is carried out on the single-layer neural network model based on a plurality of groups of the word segmentation result and the corresponding intention category to obtain the intention classification model.
As one example, the intent classification model may be implemented with the Google open source tool Tensorflow, where the word embedding layer uses the Tensorflow's own mapping tool to map words into vector form; the convolution layer carries out convolution operation on the input vector and carries out feature extraction; the pooling layer extracts the output vector of the convolution layer again to obtain the most important vector; the output layer performs classification calculation by using a softmax classifier, calculates the probability of each category, and the category with the highest probability is the intention category of the current input sentence.
As an example, the test data generating module 3 includes a first test data generating unit, a second test data generating unit, and a third test data generating unit, where the first test data generating unit is configured to call an interface test case and/or a test script corresponding to the name slot if the user intends to generate the required test script, and execute the number of times corresponding to the number of slots, and execute the number of times if there is no number of slots, so as to generate the required test script, and return corresponding error information if there is no interface test case and/or test script corresponding to the name slot. The second test data generating unit is configured to call the interface test case or the test script corresponding to the name slot if the user intends to execute the required interface test case or the test script, execute the number of times corresponding to the number of slots, execute the number of times if the number of slots is not available, and return corresponding error information if the number of times corresponding to the name slot is not available. And the third test data generating unit is configured to call the interface test case or the test script corresponding to the name slot if the user intends to query the interface test case or the test script, return to the user interface, and return corresponding error information if the interface test case or the test script corresponding to the name slot does not exist.
The embodiment of the invention also provides a controller comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, is capable of implementing the steps of the test data generation method.
Embodiments of the present invention also provide a computer readable storage medium storing computer instructions that when executed by a computer or processor implement the steps of the test data generation method.
According to the embodiment of the invention, the test data can be quickly generated according to the user requirements, the automatic test can be quickly developed by the auxiliary tester, the process of manually generating the test data is saved, the manual operation time is shortened, the test cost is reduced, and the test efficiency is improved.
The present invention is not limited to the above-mentioned embodiments, but is intended to be limited to the following embodiments, and any modifications, equivalents and modifications can be made to the above-mentioned embodiments without departing from the scope of the invention.
Claims (12)
1. A test data generation method, comprising:
acquiring test requirement information;
performing word segmentation processing on the test requirement information to obtain word segmentation results;
inputting the word segmentation result into a pre-established intention classification model, and identifying the intention of a user;
extracting slot position information from the test requirement information;
generating a corresponding test instruction based on the user intention and the slot position information;
and calling a pre-stored interface test case and/or test script according to the test instruction to generate test data.
2. The method for generating test data according to claim 1, wherein,
the test requirement information comprises test requirement sentences input by a user on the interactive interface.
3. The method for generating test data according to claim 1, wherein,
the user intention comprises generating a required test script, executing a required interface test case or test script, and inquiring the interface test case or test script;
the slot information includes a name slot and a number slot.
4. The method for generating test data according to claim 3, wherein,
the step of calling the pre-stored interface test cases and/or test scripts according to the test instruction to generate test data comprises the following steps:
if the user intends to generate the required test script, calling the interface test case and/or the test script corresponding to the name slot, executing the times corresponding to the number of slots, if the number of slots is not available, executing the times, generating the required test script, and if the interface test case and/or the test script corresponding to the name slot is not available, returning corresponding error information;
if the user intends to execute the required interface test case or test script, calling the interface test case or test script corresponding to the name slot, executing the number of times corresponding to the number of slots, if the number of slots is not available, executing the number of times, and if the number of slots is not available, returning corresponding error information;
if the user intends to query the interface test case or test script, the interface test case or test script corresponding to the name slot is called, and returned to the user interface, and if the interface test case or test script corresponding to the name slot is not available, the corresponding error information is returned.
5. The method for generating test data according to claim 1, wherein,
the method further comprises the step of establishing the intention classification model, and specifically comprises the following steps:
and inputting a word segmentation result as a model to input a single-layer neural network model, wherein an intention category corresponding to the word segmentation result is used as output of the single-layer neural network model, and training the single-layer neural network model based on a plurality of groups of word segmentation results and corresponding intention categories to obtain the intention classification model.
6. A test data generation apparatus, comprising:
the test requirement acquisition module is configured to acquire test requirement information;
the test instruction generation module is configured to analyze the test requirement information and generate a corresponding test instruction;
wherein, the instruction generation module includes:
the word segmentation processing unit is configured to perform word segmentation processing on the test requirement information to obtain word segmentation results;
the intention recognition unit is configured to input the word segmentation result into a pre-established intention classification model and recognize the intention of a user;
a slot information extraction unit configured to extract slot information from the test requirement information;
a test instruction generating unit configured to generate a corresponding test instruction based on the user intention and the slot information;
and the test data generation module is configured to call a pre-stored interface test case and/or test script according to the test instruction to generate test data.
7. The test data generating device as claimed in claim 6, wherein,
the test requirement information comprises test requirement sentences input by a user on the interactive interface.
8. The test data generating device as claimed in claim 6, wherein,
the user intention comprises generating a required test script, executing a required interface test case or test script, and inquiring the interface test case or test script;
the slot information includes a name slot and a number slot.
9. The test data generating device of claim 8, wherein,
the test data generation module comprises:
the first test data generating unit is configured to call the interface test cases and/or test scripts corresponding to the name slots if the user intends to generate the required test scripts, execute the number of times corresponding to the number of slots, execute the number of times if the number of slots does not exist, generate the required test scripts, and return corresponding error information if the number of times does not exist;
the second test data generating unit is configured to call the interface test cases or test scripts corresponding to the name slots if the user intends to execute the required interface test cases or test scripts, execute the number of times corresponding to the number of slots, execute the number of times if the number of slots is not available, and return corresponding error information if the number of times corresponding to the name slots is not available;
and the third test data generating unit is configured to call the interface test case or the test script corresponding to the name slot if the user intends to query the interface test case or the test script, return to the user interface, and return corresponding error information if the interface test case or the test script corresponding to the name slot does not exist.
10. The test data generating device as claimed in claim 6, wherein,
the device further comprises an intention classification model building module, wherein the intention classification model building module is configured to input a word segmentation result as an input of a single-layer neural network model, the intention category corresponding to the word segmentation result is used as an output of the single-layer neural network model, and training is carried out on the single-layer neural network model based on a plurality of groups of the word segmentation result and the corresponding intention category to obtain the intention classification model.
11. A controller comprising a memory and a processor, characterized in that: the memory stores a computer program which, when executed by the processor, is capable of implementing the steps of the method of any one of claims 1 to 5.
12. A computer-readable storage medium storing computer instructions, characterized by: the instructions, when executed by a computer or processor, implement the steps of the method of any one of claims 1 to 5.
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| CN112016297B (en) * | 2020-08-27 | 2023-03-28 | 深圳壹账通智能科技有限公司 | Intention recognition model testing method and device, computer equipment and storage medium |
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