CN110119353A - Test data generating method, device and controller and medium - Google Patents

Test data generating method, device and controller and medium Download PDF

Info

Publication number
CN110119353A
CN110119353A CN201910314327.9A CN201910314327A CN110119353A CN 110119353 A CN110119353 A CN 110119353A CN 201910314327 A CN201910314327 A CN 201910314327A CN 110119353 A CN110119353 A CN 110119353A
Authority
CN
China
Prior art keywords
test
case
slot
test script
test data
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201910314327.9A
Other languages
Chinese (zh)
Other versions
CN110119353B (en
Inventor
吴海兵
史兰兰
庞一统
周萍
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
NIO Co Ltd
Original Assignee
NIO Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by NIO Co Ltd filed Critical NIO Co Ltd
Priority to CN201910314327.9A priority Critical patent/CN110119353B/en
Publication of CN110119353A publication Critical patent/CN110119353A/en
Application granted granted Critical
Publication of CN110119353B publication Critical patent/CN110119353B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/36Preventing errors by testing or debugging software
    • G06F11/3668Software testing
    • G06F11/3672Test management
    • G06F11/3684Test management for test design, e.g. generating new test cases
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00Energy efficient computing, e.g. low power processors, power management or thermal management

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Quality & Reliability (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Debugging And Monitoring (AREA)

Abstract

The present invention relates to a kind of test data generating method, device and controller and media, which comprises obtains testing requirement information;The testing requirement information is parsed, and generates corresponding test instruction;Pre-stored interface testing use-case is transferred according to test instruction and/or test script generates test data.The present invention can quickly generate test data according to user demand, reduce handling time, reduce testing cost, improve testing efficiency.

Description

Test data generating method, device and controller and medium
Technical field
The present invention relates to automatization testing technique field more particularly to a kind of test data generating methods, device and control Device and medium processed.
Background technique
With being widely applied for micro services framework, the call relation between system becomes increasingly complex, corresponding to need more Complicated test case goes to cover these complicated calling scenes, and testing cost gradually increases.For automatic test, need more More different conditions, different types of test data meet the execution of test case.Test data generation is a very complicated Process, generally require expend tester a large amount of time go to complete.Such as: it is generally required largely not when test payment The order data of same type, for example, the test of personal order, enterprise's list test data, have apolegamy order data, without apolegamy Order data, the order data, the order data without financial scenario that have financial scenario, there are also the numbers that these types are intersected two-by-two According to etc., need tester to put into a large amount of time if only manually going to generate, testing cost is high, testing efficiency is low.
Summary of the invention
Technical problem to be solved by the present invention lies in provide a kind of test data generating method, device and controller And medium, test data can be quickly generated according to user demand, reduces handling time, reduces testing cost, improved and surveyed Try efficiency.
In order to solve the above-mentioned technical problem, according to a first embodiment of the present invention, a kind of test data generating method is provided, Include:
Obtain testing requirement information;
The testing requirement information is parsed, and generates corresponding test instruction;
Pre-stored interface testing use-case is transferred according to test instruction and/or test script generates test data.
Further, the testing requirement information includes testing requirement sentence of the user in interactive interface typing.
Further, the parsing testing requirement information, and generate corresponding test instruction, comprising:
The testing requirement information is subjected to word segmentation processing, obtains word segmentation result;
The word segmentation result is input in the intent classifier model pre-established, identifies that user is intended to;
Slot position information is extracted from the testing requirement information;
It is intended to based on the user and the slot position information generates corresponding test instruction.
Further, the user is intended to include interface testing use-case or test needed for test script, execution needed for generating Script, query interface test case or test script;
The slot position information includes title slot sum number measuring tank.
Further, described that pre-stored interface testing use-case and/or test script are transferred according to test instruction Generate test data, comprising:
If user is intended to generate required test script, transfer the corresponding interface testing use-case of the title slot and/or Test script, and the corresponding number of number of executions slot, if being executed once without the quantity slot, to test foot needed for generating This, if returning to corresponding error message without the corresponding interface testing use-case of the title slot and/or test script;
If user is intended to execute required interface testing use-case or test script, the corresponding interface of the title slot is transferred Test case or test script, and the corresponding number of number of executions slot, if executing without the quantity slot once, if without described The corresponding interface testing use-case of title slot or test script, then return to corresponding error message;
If user is intended to query interface test case or test script, the corresponding interface testing of the title slot is transferred Use-case or test script, and user interface is returned to, if without the corresponding interface testing use-case of the title slot or test script, Return to corresponding error message.
Further, the method also includes establishing the intent classifier model, specifically include:
Using word segmentation result as the input of mode input monolayer neural networks model, the corresponding intention class of the word segmentation result Output not as the monolayer neural networks model, based on word segmentation result and corresponding intention classification described in multiple groups to the list Layer neural network model is trained, and obtains the intent classifier model.
According to a second embodiment of the present invention, a kind of Test data generation device is provided, comprising:
Testing requirement obtains module, is configured to obtain testing requirement information;
Directive generation module is tested, is configured to parse the testing requirement information, and generates corresponding test instruction;
Test data generation module, be configured to according to the test instruct transfer pre-stored interface testing use-case and/ Or test script generates test data.
Further, the testing requirement information includes testing requirement sentence of the user in interactive interface typing.
Further, the test directive generation module includes:
Word segmentation processing unit is configured to the testing requirement information carrying out word segmentation processing, obtains word segmentation result;
Intention assessment unit is configured to for the word segmentation result being input in the intent classifier model pre-established, identification User is intended to out;
Slot position information extraction unit is configured to extract slot position information from the testing requirement information;
Instruction generation unit is tested, user's intention is configured to and the slot position information generates corresponding test and refers to It enables.
Further, the user is intended to include interface testing use-case or test needed for test script, execution needed for generating Script, query interface test case or test script;
The slot position information includes title slot sum number measuring tank.
Further, the Test data generation module includes:
First test data generation unit is intended to generate required test script, transfers the name if being configured to user Claim the corresponding interface testing use-case of slot and/or test script, and the corresponding number of number of executions slot, if without the quantity slot, It executes once, thus test script needed for generating, if without the corresponding interface testing use-case of the title slot and/or test script, Then return to corresponding error message;
Second test data generation unit is intended to execute required interface testing use-case or test foot if being configured to user This, then transfer the corresponding interface testing use-case of the title slot or test script, and the corresponding number of number of executions slot, if without institute Quantity slot is stated, then is executed once, if returning to corresponding mistake without the corresponding interface testing use-case of the title slot or test script Information;
Third test data generation unit, if being configured to user is intended to query interface test case or test script, The corresponding interface testing use-case of the title slot or test script are transferred, and returns to user interface, if without the title slot pair The interface testing use-case or test script answered, then return to corresponding error message.
Further, described device further includes, it is intended that disaggregated model establishes module, is configured to using word segmentation result as model The input of monolayer neural networks model is inputted, the corresponding intention classification of the word segmentation result is as the monolayer neural networks model Output, the monolayer neural networks model is trained based on word segmentation result described in multiple groups and corresponding intention classification, is obtained To the intent classifier model.
According to a third embodiment of the present invention, a kind of controller is provided comprising memory and processor, the memory are deposited Contain computer program, the step of described program can be realized the method when being executed by the processor.
According to a fourth embodiment of the present invention, a kind of computer readable storage medium is provided, for storing computer instruction, institute State the step of instruction realizes the method when by a computer or processor execution.
The present invention has obvious advantages and beneficial effects compared with the existing technology.By above-mentioned technical proposal, the present invention A kind of test data generating method, device and controller and medium can reach comparable technical progress and practicability, and have There is the extensive utility value in industry, at least has the advantage that
The present invention can quickly generate test data according to user demand, and the automation of subtest personnel's rapid deployment is surveyed The process that test data manually generates is saved in examination, is reduced handling time, is reduced testing cost, improves testing efficiency.
The above description is only an overview of the technical scheme of the present invention, in order to better understand the technical means of the present invention, And it can be implemented in accordance with the contents of the specification, and in order to allow above and other objects, features and advantages of the invention can It is clearer and more comprehensible, it is special below to lift preferred embodiment, and cooperate attached drawing, detailed description are as follows.
Detailed description of the invention
Fig. 1 is the test data generating method schematic diagram that one embodiment of the invention provides;
Fig. 2 is the Test data generation schematic device that one embodiment of the invention provides.
[symbol description]
1: testing requirement obtains module 2: test directive generation module
3: Test data generation module
Specific embodiment
Further to illustrate that the present invention to reach the technical means and efficacy that predetermined goal of the invention is taken, ties below Attached drawing and preferred embodiment are closed, to a kind of test data generating method proposed according to the present invention, device and controller and Jie The specific embodiment and its effect of matter, detailed description is as follows.
The embodiment of the invention provides a kind of test data generating methods, as shown in Figure 1, comprising:
Step S1, testing requirement information is obtained;
As an example, the testing requirement information includes testing requirement sentence of the user in interactive interface typing, example Such as: " giving me 10 vehicle orders ", " executing 5 App services ".
Step S2, the testing requirement information is parsed, and generates corresponding test instruction;
As an example, step S2 includes:
Step S21, the testing requirement information is subjected to word segmentation processing, obtains word segmentation result;
For example, stop words is first removed to sentence using Custom Dictionaries and stop words dictionary to the sentence of user's input, Then it is segmented using stammerer Chinese word segmentation tool.The survey stored in database server is wherein contained in custom dictionaries Example title and script name etc. on probation;And stop words referred in sentence such as " ", " " and the distich justice such as punctuation mark without influence Words, word segmentation result can for single word composition set.
Step S22, the word segmentation result is input in the intent classifier model pre-established, identifies that user is intended to;
Wherein, the user be intended to include interface testing use-case needed for test script, execution needed for generating or test script, Query interface test case or test script;
Step S23, slot position information is extracted from the testing requirement information;
Wherein, the slot position information includes title slot sum number measuring tank, such as " giving me 10 vehicle orders ", wherein " 10 " are i.e. For quantity slot, " vehicle order " is title slot.Quantity slot can be obtained by carrying out part of speech identification to word segmentation result, utilize word Title slot can be obtained in allusion quotation matching.
Step S24, it is intended to based on the user and the slot position information generates corresponding test instruction.
The method also includes establishing the intent classifier model, specifically include:
Using word segmentation result as the input of mode input monolayer neural networks model, such as 1000 sentences can be used Word segmentation result.The corresponding output for being intended to classification as the monolayer neural networks model of the word segmentation result, is based on multiple groups institute It states word segmentation result and corresponding intention classification is trained the monolayer neural networks model, obtain the intent classifier mould Type.
As an example, it is intended that disaggregated model can realize that wherein word is embedded in by Google Open-Source Tools Tensorflow The mapping of each word is become vector form by the mapping tool that layer is carried using Tensorflow;Convolutional layer rolls up the vector of input Product operation, and carry out feature extraction;Pond layer extracts the output vector of convolutional layer again, obtains most important vector;Output Layer carries out classified calculating using softmax classifier, calculates the probability of each classification, the classification of maximum probability is that this is defeated Enter the intention classification of sentence.
Step S3, pre-stored interface testing use-case is transferred according to test instruction and/or test script is generated and surveyed Try data.
Wherein, pre-stored interface testing use-case and test script, can be write by tester and be stored into database, The interface testing use-case and test script write directly can also be introduced directly into use, wherein interface testing use-case includes practical Request header, request body, request address assert that content, response results need the parameter etc. extracted.Test script is for handling test Use-case carries out test.
As an example, step S3 includes:
If step S31, user is intended to generate required test script, transfers the corresponding interface testing of the title slot and use Example and/or test script, and the corresponding number of number of executions slot, if being executed once without the quantity slot, thus needed for generating Test script, if returning to corresponding error message without the corresponding interface testing use-case of the title slot and/or test script;
If step S32, user is intended to execute required interface testing use-case or test script, the title slot pair is transferred The interface testing use-case or test script answered, and the corresponding number of number of executions slot, if being executed once without the quantity slot, If returning to corresponding error message without the corresponding interface testing use-case of the title slot or test script;
If step S33, user is intended to query interface test case or test script, it is corresponding to transfer the title slot Interface testing use-case or test script, and user interface is returned to, if without the corresponding interface testing use-case of the title slot or survey Training sheet then returns to corresponding error message.
As an example, a large amount of different types of test datas, such as personal order are needed when testing payment Test, the test data of enterprise's list, the test data for having apolegamy, the test data without apolegamy etc., for different types Order needs different processes, is based on the method for the embodiment of the present invention, it is only necessary to input such as in interactive interface: " creation 1 Personal vehicles order ", " 2 enterprise orders of creation ", " creation 3 has apolegamy vehicle order ", " creation 4 are ordered without apolegamy vehicle The sentences such as list " quickly can obtain corresponding test data, reduce handling time, reduce testing cost, improve and survey Try efficiency.
The embodiment of the invention also provides a kind of Test data generation devices, as shown in Fig. 2, including that testing requirement obtains mould Block 1, test directive generation module 2 and Test data generation module 3, wherein testing requirement obtains module 1 and is configured to obtain test Demand information, as an example, the testing requirement information include testing requirement sentence of the user in interactive interface typing, example Such as: " giving me 10 vehicle orders ", " executing 5 App services ".Test directive generation module 2 is configured to parse the test need Information is sought, and generates corresponding test instruction;Test data generation module 3 is configured to instruct to transfer according to the test to deposit in advance The interface testing use-case and/or test script of storage generate test data, wherein pre-stored interface testing use-case and test foot This, can be write by tester and be stored into database, can also be directly direct by the interface testing use-case and test script write It imports and uses, wherein interface testing use-case includes actual request head, request body, request address, asserts that content, response results need The parameter etc. to be extracted.Test script carries out test for handling test case.
As an example, the test directive generation module 2 includes word segmentation processing unit, intention assessment unit, slot position Information extraction unit and test instruction generation unit, wherein word segmentation processing unit is configured to carry out the testing requirement information Word segmentation processing obtains word segmentation result, for example, the sentence that word segmentation processing unit inputs user, using Custom Dictionaries and deactivates Word dictionary first removes stop words to sentence, is then segmented using stammerer Chinese word segmentation tool.Wherein wrapped in custom dictionaries The test case title stored in database server and script name etc. are contained;And stop words refers in sentence such as " ", " " and the words of the distich justice without influence such as punctuation mark, word segmentation result can be the set of single word composition.Intention assessment unit It is configured to for the word segmentation result being input in the intent classifier model pre-established, identifies that user is intended to, user's meaning Figure includes interface testing use-case or test script, query interface test case or test needed for test script, execution needed for generating Script.Slot position information extraction unit is configured to extract slot position information from the testing requirement information, and the slot position information includes Title slot sum number measuring tank, such as " giving me 10 vehicle orders ", wherein " 10 " are quantity slot, " vehicle order " is title Slot.Quantity slot can be obtained by carrying out part of speech identification to word segmentation result, title slot can be obtained using dictionary matching.Test refers to Enabling generation unit be configured to, the user is intended to and the slot position information generates corresponding test instruction.
Described device further includes intent classifier model building module, is configured to using word segmentation result as mode input single layer mind Input through network model, the corresponding output for being intended to classification as the monolayer neural networks model of the word segmentation result, base The word segmentation result described in multiple groups and corresponding intention classification are trained the monolayer neural networks model, obtain the intention Disaggregated model.
As an example, it is intended that disaggregated model can realize that wherein word is embedded in by Google Open-Source Tools Tensorflow The mapping of each word is become vector form by the mapping tool that layer is carried using Tensorflow;Convolutional layer rolls up the vector of input Product operation, and carry out feature extraction;Pond layer extracts the output vector of convolutional layer again, obtains most important vector;Output Layer carries out classified calculating using softmax classifier, calculates the probability of each classification, the classification of maximum probability is that this is defeated Enter the intention classification of sentence.
As an example, the Test data generation module 3 includes the first test data generation unit, the second test number According to generation unit and third test data generation unit, wherein the first test data generation unit is intended to if being configured to user Test script needed for generating, then transfer the corresponding interface testing use-case of the title slot and/or test script, and number of executions slot Corresponding number, if being executed once without the quantity slot, thus test script needed for generating, if corresponding without the title slot Interface testing use-case and/or test script, then return to corresponding error message.Second test data generation unit, if being configured to User is intended to execute required interface testing use-case or test script, then transfer the corresponding interface testing use-case of the title slot or Test script, and the corresponding number of number of executions slot, if being executed once without the quantity slot, if corresponding without the title slot Interface testing use-case or test script, then return to corresponding error message.Third test data generation unit, if being configured to user It is intended to query interface test case or test script, then transfers the corresponding interface testing use-case of the title slot or test foot This, and user interface is returned to, if returning to corresponding mistake without the corresponding interface testing use-case of the title slot or test script Information.
The embodiment of the present invention also provides a kind of controller comprising memory and processor, the memory are stored with meter The step of calculation machine program, described program can be realized the test data generating method when being executed by the processor.
The embodiment of the present invention also provides a kind of computer readable storage medium, for storing computer instruction, described instruction The step of realizing the test data generating method when by a computer or processor execution.
The embodiment of the present invention can quickly generate test data according to user demand, and subtest personnel's rapid deployment is automatic Change test, save the process that test data manually generates, reduces handling time, reduce testing cost, improve testing efficiency.
The above described is only a preferred embodiment of the present invention, be not intended to limit the present invention in any form, though So the present invention has been disclosed as a preferred embodiment, and however, it is not intended to limit the invention, any technology people for being familiar with this profession Member, without departing from the scope of the present invention, when the technology contents using the disclosure above make a little change or modification For the equivalent embodiment of equivalent variations, but anything that does not depart from the technical scheme of the invention content, according to the technical essence of the invention Any simple modification, equivalent change and modification to the above embodiments, all of which are still within the scope of the technical scheme of the invention.

Claims (14)

1. a kind of test data generating method characterized by comprising
Obtain testing requirement information;
The testing requirement information is parsed, and generates corresponding test instruction;
Pre-stored interface testing use-case is transferred according to test instruction and/or test script generates test data.
2. test data generating method according to claim 1, which is characterized in that
The testing requirement information includes testing requirement sentence of the user in interactive interface typing.
3. test data generating method according to claim 1, which is characterized in that
The parsing testing requirement information, and generate corresponding test instruction, comprising:
The testing requirement information is subjected to word segmentation processing, obtains word segmentation result;
The word segmentation result is input in the intent classifier model pre-established, identifies that user is intended to;
Slot position information is extracted from the testing requirement information;
It is intended to based on the user and the slot position information generates corresponding test instruction.
4. test data generating method according to claim 3, which is characterized in that
The user is intended to include interface testing use-case or test script, query interface needed for test script, execution needed for generating Test case or test script;
The slot position information includes title slot sum number measuring tank.
5. test data generating method according to claim 4, which is characterized in that
It is described that pre-stored interface testing use-case and/or test script generation test data are transferred according to test instruction, Include:
If user is intended to generate required test script, the corresponding interface testing use-case of the title slot and/or test are transferred Script, and the corresponding number of number of executions slot, if being executed once without the quantity slot, thus test script needed for generating, if Without the corresponding interface testing use-case of the title slot and/or test script, then corresponding error message is returned;
If user is intended to execute required interface testing use-case or test script, the corresponding interface testing of the title slot is transferred Use-case or test script, and the corresponding number of number of executions slot, if executing without the quantity slot once, if without the title The corresponding interface testing use-case of slot or test script, then return to corresponding error message;
If user is intended to query interface test case or test script, the corresponding interface testing use-case of the title slot is transferred Or test script, and user interface is returned to, if being returned without the corresponding interface testing use-case of the title slot or test script Corresponding error message.
6. test data generating method according to claim 3, which is characterized in that
The method also includes establishing the intent classifier model, specifically include:
Using word segmentation result as the input of mode input monolayer neural networks model, the corresponding intention classification of the word segmentation result is made It is refreshing to the single layer based on word segmentation result and corresponding intention classification described in multiple groups for the output of the monolayer neural networks model It is trained through network model, obtains the intent classifier model.
7. a kind of Test data generation device characterized by comprising
Testing requirement obtains module, is configured to obtain testing requirement information;
Directive generation module is tested, is configured to parse the testing requirement information, and generates corresponding test instruction;
Test data generation module is configured to be instructed according to the test and transfers pre-stored interface testing use-case and/or survey Training this generation test data.
8. Test data generation device according to claim 7, which is characterized in that
The testing requirement information includes testing requirement sentence of the user in interactive interface typing.
9. Test data generation device according to claim 7, which is characterized in that the test directive generation module packet It includes:
Word segmentation processing unit is configured to the testing requirement information carrying out word segmentation processing, obtains word segmentation result;
Intention assessment unit is configured to for the word segmentation result being input in the intent classifier model pre-established, identifies use Family is intended to;
Slot position information extraction unit is configured to extract slot position information from the testing requirement information;
Instruction generation unit is tested, the user is configured to and is intended to generate corresponding test instruction with the slot position information.
10. Test data generation device according to claim 9, which is characterized in that
The user is intended to include interface testing use-case or test script, query interface needed for test script, execution needed for generating Test case or test script;
The slot position information includes title slot sum number measuring tank.
11. Test data generation device according to claim 10, which is characterized in that
The Test data generation module includes:
First test data generation unit is intended to generate required test script, transfers the title slot if being configured to user Corresponding interface testing use-case and/or test script, and the corresponding number of number of executions slot, if being executed without the quantity slot Once, so that required test script is generated, if returning without the corresponding interface testing use-case of the title slot and/or test script Return corresponding error message;
Second test data generation unit is intended to execute required interface testing use-case or test script if being configured to user, The corresponding interface testing use-case of the title slot or test script, and the corresponding number of number of executions slot are transferred, if without the number Measuring tank then executes once, if returning to corresponding mistake letter without the corresponding interface testing use-case of the title slot or test script Breath;
Third test data generation unit is transferred if being configured to user is intended to query interface test case or test script The corresponding interface testing use-case of the title slot or test script, and user interface is returned to, if corresponding without the title slot Interface testing use-case or test script then return to corresponding error message.
12. Test data generation device according to claim 9, which is characterized in that
Described device further includes, it is intended that disaggregated model establishes module, is configured to using word segmentation result as mode input monolayer neuronal The input of network model, the corresponding output for being intended to classification as the monolayer neural networks model of the word segmentation result, is based on Word segmentation result described in multiple groups and corresponding intention classification are trained the monolayer neural networks model, obtain the intention point Class model.
13. a kind of controller comprising memory and processor, it is characterised in that: the memory is stored with computer program, Described program can be realized method described in any one of claim 1 to 6 claim when being executed by the processor The step of.
14. a kind of computer readable storage medium, for storing computer instruction, it is characterised in that: described instruction is by a meter The step of calculation machine or processor realize the method as described in any one of claim 1 to 6 claim when executing.
CN201910314327.9A 2019-04-18 2019-04-18 Test data generation method and device, controller and medium Active CN110119353B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910314327.9A CN110119353B (en) 2019-04-18 2019-04-18 Test data generation method and device, controller and medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910314327.9A CN110119353B (en) 2019-04-18 2019-04-18 Test data generation method and device, controller and medium

Publications (2)

Publication Number Publication Date
CN110119353A true CN110119353A (en) 2019-08-13
CN110119353B CN110119353B (en) 2023-10-10

Family

ID=67521097

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910314327.9A Active CN110119353B (en) 2019-04-18 2019-04-18 Test data generation method and device, controller and medium

Country Status (1)

Country Link
CN (1) CN110119353B (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112016297A (en) * 2020-08-27 2020-12-01 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
CN112416785A (en) * 2020-11-27 2021-02-26 广州品唯软件有限公司 Word cutting tool version difference testing method, device, equipment and storage medium
CN112579248A (en) * 2019-09-27 2021-03-30 北京国双科技有限公司 Data generation method and device
CN114860575A (en) * 2022-03-31 2022-08-05 中国电信股份有限公司 Test data generation method and device, storage medium and electronic equipment

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130305210A1 (en) * 2012-05-09 2013-11-14 Infosys Limited System and method for non-production environment management
CN104133772A (en) * 2014-08-13 2014-11-05 广东电网公司信息中心 Automatic test data generation method
CN104978265A (en) * 2014-04-09 2015-10-14 罗森伯格(上海)通信技术有限公司 PCBA test method and PCBA test system
CN106201873A (en) * 2016-07-01 2016-12-07 网易(杭州)网络有限公司 The treating method and apparatus of test script
CN107346340A (en) * 2017-07-04 2017-11-14 北京奇艺世纪科技有限公司 A kind of user view recognition methods and system
CN107678935A (en) * 2017-05-10 2018-02-09 平安科技(深圳)有限公司 Data creation method, terminal and computer-readable recording medium
CN108388515A (en) * 2018-03-06 2018-08-10 平安科技(深圳)有限公司 Test data generating method, device, equipment and computer readable storage medium
CN109284406A (en) * 2018-09-03 2019-01-29 四川长虹电器股份有限公司 Intension recognizing method based on difference Recognition with Recurrent Neural Network
CN109376847A (en) * 2018-08-31 2019-02-22 深圳壹账通智能科技有限公司 User's intension recognizing method, device, terminal and computer readable storage medium
CN109471796A (en) * 2018-10-16 2019-03-15 平安证券股份有限公司 Interface test method, device, computer equipment and storage medium
CN109635117A (en) * 2018-12-26 2019-04-16 零犀(北京)科技有限公司 A kind of knowledge based spectrum recognition user intention method and device

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130305210A1 (en) * 2012-05-09 2013-11-14 Infosys Limited System and method for non-production environment management
CN104978265A (en) * 2014-04-09 2015-10-14 罗森伯格(上海)通信技术有限公司 PCBA test method and PCBA test system
CN104133772A (en) * 2014-08-13 2014-11-05 广东电网公司信息中心 Automatic test data generation method
CN106201873A (en) * 2016-07-01 2016-12-07 网易(杭州)网络有限公司 The treating method and apparatus of test script
CN107678935A (en) * 2017-05-10 2018-02-09 平安科技(深圳)有限公司 Data creation method, terminal and computer-readable recording medium
CN107346340A (en) * 2017-07-04 2017-11-14 北京奇艺世纪科技有限公司 A kind of user view recognition methods and system
CN108388515A (en) * 2018-03-06 2018-08-10 平安科技(深圳)有限公司 Test data generating method, device, equipment and computer readable storage medium
CN109376847A (en) * 2018-08-31 2019-02-22 深圳壹账通智能科技有限公司 User's intension recognizing method, device, terminal and computer readable storage medium
CN109284406A (en) * 2018-09-03 2019-01-29 四川长虹电器股份有限公司 Intension recognizing method based on difference Recognition with Recurrent Neural Network
CN109471796A (en) * 2018-10-16 2019-03-15 平安证券股份有限公司 Interface test method, device, computer equipment and storage medium
CN109635117A (en) * 2018-12-26 2019-04-16 零犀(北京)科技有限公司 A kind of knowledge based spectrum recognition user intention method and device

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
ELIAS IOSIF 等: ""Speech understanding for spoken dialogue systems: From corpus harvesting to grammar rule induction"", 《COMPUTER SPEECH & LANGUAGE》, vol. 47, pages 272 - 297, XP085205400, DOI: 10.1016/j.csl.2017.08.002 *
待字闺中: "" 用Rasa NLU构建自己的中文NLU*** "", pages 1 - 4, Retrieved from the Internet <URL:《https://www.sohu.com/a/192709043_211120》> *
胡树楷: ""机械产品设计中的自然语言理解复合句语义分析"", 《中国优秀博硕士学位论文全文数据库 (硕士)工程科技Ⅱ辑》, pages 029 - 29 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112579248A (en) * 2019-09-27 2021-03-30 北京国双科技有限公司 Data generation method and device
CN112016297A (en) * 2020-08-27 2020-12-01 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
CN112416785A (en) * 2020-11-27 2021-02-26 广州品唯软件有限公司 Word cutting tool version difference testing method, device, equipment and storage medium
CN114860575A (en) * 2022-03-31 2022-08-05 中国电信股份有限公司 Test data generation method and device, storage medium and electronic equipment
CN114860575B (en) * 2022-03-31 2023-10-03 中国电信股份有限公司 Test data generation method and device, storage medium and electronic equipment

Also Published As

Publication number Publication date
CN110119353B (en) 2023-10-10

Similar Documents

Publication Publication Date Title
CN109493166B (en) Construction method for task type dialogue system aiming at e-commerce shopping guide scene
CN110119353A (en) Test data generating method, device and controller and medium
CN104899304B (en) Name entity recognition method and device
CN109635117A (en) A kind of knowledge based spectrum recognition user intention method and device
CN106776936A (en) intelligent interactive method and system
CN107729309A (en) A kind of method and device of the Chinese semantic analysis based on deep learning
CN110377759A (en) Event relation map construction method and device
CN115310425B (en) Policy text analysis method based on policy text classification and key information identification
CN110222330B (en) Semantic recognition method and device, storage medium and computer equipment
CN103207855A (en) Fine-grained sentiment analysis system and method specific to product comment information
CN107122327A (en) The method and training system of a kind of utilization training data training pattern
CN110362822A (en) Text marking method, apparatus, computer equipment and storage medium for model training
CN104809105B (en) Recognition methods and the system of event argument and argument roles based on maximum entropy
CN107797989A (en) Enterprise name recognition methods, electronic equipment and computer-readable recording medium
CN111177341B (en) End-to-end ID + SF model-based user conversation demand extraction method and system
CN112988963A (en) User intention prediction method, device, equipment and medium based on multi-process node
CN110377733A (en) A kind of text based Emotion identification method, terminal device and medium
CN115455189A (en) Policy text classification method based on prompt learning
CN114240672B (en) Method for identifying duty ratio of green asset and related product
CN114117048A (en) Text classification method and device, computer equipment and storage medium
CN113902569A (en) Method for identifying the proportion of green assets in digital assets and related products
US20230351121A1 (en) Method and system for generating conversation flows
CN111552810A (en) Entity extraction and classification method and device, computer equipment and storage medium
CN110287396A (en) Text matching technique and device
CN104778163A (en) Method and system for recognizing event trigger word

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant