CN109818833B - Ethernet test system and Ethernet test method - Google Patents
Ethernet test system and Ethernet test method Download PDFInfo
- Publication number
- CN109818833B CN109818833B CN201910194560.8A CN201910194560A CN109818833B CN 109818833 B CN109818833 B CN 109818833B CN 201910194560 A CN201910194560 A CN 201910194560A CN 109818833 B CN109818833 B CN 109818833B
- Authority
- CN
- China
- Prior art keywords
- test
- processed
- content
- processing unit
- unit
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Landscapes
- Machine Translation (AREA)
Abstract
The embodiment of the application discloses an Ethernet test system, which comprises an input unit, an intelligent processing unit and a test unit, wherein when a user uses the Ethernet test system to carry out Ethernet test, the user only needs to input contents to be processed in a natural language form through the input unit, the input unit acquires the contents to be processed input by the user, the intelligent processing unit carries out semantic analysis on the contents to be processed acquired by the input unit, and if the intelligent processing unit acquires test items and test parameters matched with the contents to be processed according to the semantic analysis result, the test unit is triggered to carry out network test according to the test items and the test parameters to acquire test data. The Ethernet test system uses artificial intelligence technology, the intelligent processing unit automatically generates test items and test parameters according to the contents to be processed input by the user in a natural language form, and the user does not need to configure the test items and the test parameters for the Ethernet test system, so that the user does not need to have professional knowledge, and the use is simple.
Description
Technical Field
The present application relates to the field of ethernet testing, and in particular, to an ethernet testing system and an ethernet testing method.
Background
With the wide application of the ethernet, the ethernet test has an important role in rapidly solving common network failures such as network obstruction, slow network speed, packet loss, IP address conflict, malicious attack and the like and ensuring that the network is smooth.
Currently, ethernet testing is mainly performed by an ethernet tester, and in the using process of the ethernet tester, a user needs to judge a tested device or a network according to own professional knowledge, then select a test item of the tester according to a judgment result, and configure various parameters and the like according to personal professional knowledge.
Therefore, the conventional ethernet tester requires a user to have more professional knowledge, and even professionals with professional knowledge are difficult to configure appropriate test items and test parameters, so that the use is complicated.
Disclosure of Invention
In order to solve the above technical problem, the present application provides an ethernet test system, which does not require a user to configure test items and test parameters for the ethernet test system, and therefore, does not require the user to have professional knowledge, and is simple to use.
The embodiment of the application discloses the following technical scheme:
in a first aspect, an embodiment of the present application provides an ethernet test system, where the test system includes an input unit, an intelligent processing unit, and a test unit:
the input unit is used for acquiring the content to be processed input by a user in a natural language form;
the intelligent processing unit is used for performing semantic analysis on the content to be processed, and if the intelligent processing unit obtains a test item and the test parameter which are matched with the content to be processed according to a semantic analysis result, the test parameter is used for describing a test condition of the test item;
and the test unit is used for carrying out network test according to the test items and the test parameters to obtain test data.
Optionally, the test system further includes an output unit:
and the output unit is used for displaying the test data to a user.
Optionally, the test system further includes a storage unit:
the storage unit is used for storing the content to be processed and the test data.
Optionally, the test unit is further configured to return the test data to the intelligent processing unit;
the intelligent processing unit is also used for generating a test conclusion described in a natural language form according to the test data.
Optionally, if the test system further includes an output unit, the output unit is connected to the intelligent processing unit, and the output unit is configured to display the test data and the test conclusion to a user.
Optionally, if the test system further includes a storage unit, the storage unit is configured to store the to-be-processed content, the test data, and the test conclusion.
Optionally, if the intelligent processing unit does not determine the test item and the test parameter matched with the content to be processed according to the semantic analysis result, the intelligent processing unit displays prompt information to the user through the output unit, where the prompt information is used to prompt the user to re-input the content to be processed.
Optionally, the intelligent processing unit is configured to perform semantic analysis on the re-input content to be processed.
In a second aspect, an embodiment of the present application provides an ethernet testing method, where the method includes:
acquiring contents to be processed input by a user in a natural language form;
performing semantic analysis on the content to be processed;
and if a test item and a test parameter which are matched with the content to be processed are obtained according to the semantic analysis result, performing network test according to the test item and the test parameter to obtain test data, wherein the test parameter is used for describing the test condition of the test item.
Optionally, the method further includes:
and displaying the test data to a user.
Optionally, the method further includes:
and storing the content to be processed and the test data.
Optionally, the method further includes:
and generating a test conclusion described in a natural language form according to the test data.
Optionally, the method further includes:
and displaying the test data and the test conclusion to a user.
Optionally, the method further includes:
and storing the content to be processed, the test data and the test conclusion.
Optionally, if the test item and the test parameter matched with the content to be processed are not determined according to the semantic analysis result, the method further includes:
and displaying prompt information to the user, wherein the prompt information is used for prompting the user to re-input the content to be processed.
Optionally, the method further includes:
and performing semantic analysis on the re-input content to be processed.
According to the technical scheme, the Ethernet test system comprises an input unit, an intelligent processing unit and a test unit, when a user uses the Ethernet test system to perform Ethernet test, the user only needs to input the content to be processed in a natural language form through the input unit, the input unit can acquire the content to be processed input by the user, the intelligent processing unit performs semantic analysis on the content to be processed acquired by the input unit, and if the intelligent processing unit acquires the test item and the test parameter which are matched with the content to be processed according to the semantic analysis result, the test unit is triggered to perform network test according to the test item and the test parameter to acquire test data. Therefore, the Ethernet test system provided by the scheme uses the artificial intelligence technology, the intelligent processing unit can automatically generate the test items and the test parameters according to the contents to be processed input by the user in the natural language form, and the user does not need to configure the test items and the test parameters for the Ethernet test system, so that the user does not need to have professional knowledge, and the use is simple.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
Fig. 1 is a structural diagram of an ethernet test system according to an embodiment of the present application;
FIG. 2 is a block diagram of a test unit provided in an embodiment of the present application;
fig. 3 is a structural diagram of an ethernet test system according to an embodiment of the present application;
fig. 4 is a structural diagram of an ethernet test system according to an embodiment of the present application;
fig. 5 is a structural diagram of an ethernet test system according to an embodiment of the present application;
fig. 6 is a flowchart of an ethernet testing method according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In the use process of the existing Ethernet tester, a user needs to judge the tested equipment or the network according to own professional knowledge, and then configures appropriate test items and test parameters according to the judgment result. Therefore, the conventional ethernet tester requires a user to have more expertise. However, even professionals with professional knowledge have difficulty in configuring appropriate test items and test parameters, and the use is complicated; for non-professional users, it is not known how to use the ethernet tester for testing.
In order to solve the above technical problem, an embodiment of the present application provides an ethernet testing system, where the ethernet testing system includes an input unit, an intelligent processing unit, and a testing unit, when a user uses the ethernet testing system to perform an ethernet test, the user only needs to input a content to be processed in a natural language form through the input unit, the input unit may obtain the content to be processed input by the user, the intelligent processing unit performs semantic analysis on the content to be processed obtained by the input unit, and if the intelligent processing unit obtains a test item and a test parameter that are matched with the content to be processed according to a result of the semantic analysis, the testing unit is triggered to perform a network test according to the test item and the test parameter to obtain test data. Therefore, the Ethernet test system provided by the scheme uses the artificial intelligence technology, the intelligent processing unit can automatically generate the test items and the test parameters according to the contents to be processed input by the user in the natural language form, and the user does not need to configure the test items and the test parameters for the Ethernet test system, so that the user does not need to have professional knowledge, and the use is simple.
Next, an ethernet test system provided in the embodiments of the present application will be described with reference to the drawings.
Referring to fig. 1, the ethernet test system includes an input unit 101, an intelligent processing unit 102, and a test unit 103:
the input unit 101 is configured to obtain a content to be processed, which is input by a user in a natural language form.
It should be noted that the manner of inputting the content to be processed by the user may include various manners, for example, a manner of inputting by voice or a manner of inputting by text.
The content to be processed can be used to describe content related to the ethernet, for example, can be used to describe problems existing in the ethernet, such as "network comparison card now", and can also be used to describe content of tests required to be performed on the ethernet.
The intelligent processing unit 102 is configured to perform semantic analysis on the content to be processed, and if the intelligent processing unit 102 obtains a test item and a test parameter that are matched with the content to be processed according to a semantic analysis result.
The test items may include throughput, delay, bandwidth, and the like, and different test items respectively correspond to respective test parameters, where the test parameters are used to describe test conditions of the test items. For example, when the test item is throughput, the corresponding test parameter may be a measurement port rate, a port identification of the measurement port, and the like.
The method for obtaining the test item and the test parameter matched with the content to be processed according to the semantic analysis result may include multiple methods, in one implementation method, a corresponding relation between a natural language text, a test item and a test parameter may be established in advance in a database, a semantic analysis result may be obtained by performing semantic analysis on the content to be processed, a target natural language text matched with the content to be processed in the database may be determined according to the semantic analysis result, and then the test item and the test parameter matched with the content to be processed may be obtained according to the corresponding relation including the target natural language text.
It should be noted that in some cases, the intelligent processing unit 102 may be an internal data analysis unit, and if the amount of data analysis is too large, the processing capability of the internal data analysis unit is limited, in this case, the intelligent processing unit 102 may also be a data analysis unit that calls a remote server through a network.
The test unit 103 is configured to perform a network test according to the test items and the test parameters to obtain test data.
It should be noted that the test Unit 103 may include a Central Processing Unit (CPU) 1031, a Field-Programmable Gate Array (FPGA) 1032, and a Physical Layer (PHY) 1033, as shown in fig. 2. In this case, the implementation manner of the test unit 103 obtaining the test data may be: after the intelligent processing unit 102 obtains the test items and the test parameters, the test items and the test parameters are configured in the FPGA and the PHY through the CPU, the test process is controlled, the test is completed, and the test data is obtained.
In one case, in order to ensure that the obtained test data can be seen by the user of the test system, so that the user can know about the ethernet related situation according to the test data, see fig. 3, the test system further comprises an output unit 104, and the output unit 104 can be connected to the test unit 103. In this way, the test unit 103 may send the resulting test data to the output unit 104, and the output unit 104 displays the test data to the user.
Where the test data is professional data, the output unit 104 may display the test data to the user in the form of a test report.
In some cases, in order to ensure that the test data and the content to be processed of the test data can be viewed later and that the test data and the content to be processed can be analyzed later, referring to fig. 3, the test system further includes a storage unit 105, and the storage unit 105 may be connected to the test unit 103. In this way, the test unit 103 may send the obtained test result to the storage unit 105, so that the storage unit 105 stores the content to be processed and the test data.
Since the test data is professional data, if the user does not have professional knowledge or has insufficient professional knowledge, it may be difficult for the user to know the problems existing in the ethernet according to the test data, and how to solve the problems existing in the current ethernet. Therefore, in order to ensure that all users can know the problems existing in the ethernet, the reasons for the problems existing in the ethernet, and determine the method for solving the problems existing in the ethernet by testing the ethernet, referring to fig. 4, after the test unit 103 obtains the test data, the test data may also be returned to the intelligent processing unit 102. In this way, the intelligent processing unit 102 can generate a test conclusion described in a natural language form from the test data. The test conclusion is used for showing the problems of the Ethernet, the reasons of the problems of the Ethernet and how to solve the problems of the Ethernet.
In this case, referring to fig. 5, if the test system further includes an output unit 104, the output unit 104 is connected to the intelligent processing unit 102, and the output unit 104 displays the test data and the test conclusion to the user, so that the user can know the problem of the ethernet, the reason of the problem of the ethernet, and how to solve the problem of the ethernet without professional knowledge, and the use is simple.
It should be noted that the output unit 104 may output the test conclusion in various ways, for example, by a voice output or by a text output.
Under the condition that the test unit 103 returns the test data to the intelligent processing unit 102, if the test system further includes a storage unit 105, the storage unit 105 is configured to store the content to be processed, the test data, and the test conclusion.
According to the technical scheme, the Ethernet test system comprises an input unit, an intelligent processing unit and a test unit, when a user uses the Ethernet test system to perform Ethernet test, the user only needs to input the content to be processed in a natural language form through the input unit, the input unit can acquire the content to be processed input by the user, the intelligent processing unit performs semantic analysis on the content to be processed acquired by the input unit, and if the intelligent processing unit acquires the test item and the test parameter which are matched with the content to be processed according to the semantic analysis result, the test unit is triggered to perform network test according to the test item and the test parameter to acquire test data. Therefore, the Ethernet test system provided by the scheme uses the artificial intelligence technology, the intelligent processing unit can automatically generate the test items and the test parameters according to the contents to be processed input by the user in the natural language form, and the user does not need to configure the test items and the test parameters for the Ethernet test system, so that the user does not need to have professional knowledge, and the use is simple.
It can be understood that, because the variety of natural language expressions and the natural language texts included in the database are limited, the content to be processed input in the form of natural language may express multiple meanings or the database does not include a target natural language text matching the content to be processed, so the intelligent processing unit 102 performs semantic analysis on the content to be processed, and according to the result of the semantic analysis, it may not be possible to determine the test item and the test parameter matching the content to be processed. In this case, the smart processing unit 102 may generate a prompt message for prompting the user to re-input the content to be processed through the output unit 104.
After the user re-inputs the content to be processed, the intelligent processing unit 102 may perform semantic analysis on the content to be processed re-input by the user, and interact with the user through the output unit and the input unit until the intelligent processing unit 102 can determine the test item and the test parameter that are matched with the content to be processed.
In this embodiment, the intelligent processing unit 102 cannot determine, according to the semantic analysis result, that the test item and the test parameter that are matched with the content to be processed may include two cases, the first case is that the intelligent processing unit 102 does not obtain the target natural language text that is matched with the content to be processed, and further cannot obtain the test item and the test parameter that are matched with the content to be processed according to the target natural language text and the corresponding relationship; the second situation is that the intelligent processing unit 102 obtains a plurality of target natural language texts matched with the content to be processed, and then obtains a plurality of test items and test parameters according to the target language texts and the corresponding relations, so that the test items and test parameters matched with the content to be processed cannot be determined.
In these two different situations, the prompt presented to the user by the intelligent processing unit 102 may be different. For example, in the first case, the smart processing unit 102 does not acquire the target natural language text matching the content to be processed, and may directly display the prompt message "please re-input" to the user. In the second case, since the smart processing unit 102 obtains a plurality of target natural language texts matching with the content to be processed, the user may be prompted to re-input the content to be processed according to the target natural language texts. For example, the content to be processed is "network not good use", the intelligent processing unit 102 performs semantic analysis on the "network not good use" to obtain three target natural language texts matched with the "network not good use", which are respectively "web page not open", "network slower", and "network not through", and then the "web page not open", "network slower", and "network not through" may be displayed to the user to prompt the user to select a suitable content from the contents as the content to be processed, and the content is input again in the input unit 101.
Based on the ethernet test system provided in the foregoing embodiment, this embodiment provides an ethernet test method, with reference to fig. 6, where the method includes:
s601, acquiring the content to be processed input by the user in the natural language form.
S602, performing semantic analysis on the content to be processed.
S603, if a test item and a test parameter which are matched with the content to be processed are obtained according to the semantic analysis result, network testing is carried out according to the test item and the test parameter to obtain test data, and the test parameter is used for describing the test condition of the test item.
Optionally, the method further includes:
and displaying the test data to a user.
Optionally, the method further includes:
and storing the content to be processed and the test data.
Optionally, the method further includes:
and generating a test conclusion described in a natural language form according to the test data.
Optionally, the method further includes:
and displaying the test data and the test conclusion to a user.
Optionally, the method further includes:
and storing the content to be processed, the test data and the test conclusion.
Optionally, if the test item and the test parameter matched with the content to be processed are not determined according to the semantic analysis result, the method further includes:
and displaying prompt information to the user, wherein the prompt information is used for prompting the user to re-input the content to be processed.
Optionally, the method further includes:
and performing semantic analysis on the re-input content to be processed.
Those of ordinary skill in the art will understand that: all or part of the steps for realizing the method embodiments can be completed by hardware related to program instructions, the program can be stored in a computer readable storage medium, and the program executes the steps comprising the method embodiments when executed; and the aforementioned storage medium may be at least one of the following media: various media that can store program codes, such as read-only memory (ROM), RAM, magnetic disk, or optical disk.
It should be noted that, in the present specification, all the embodiments are described in a progressive manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the apparatus and system embodiments, since they are substantially similar to the method embodiments, they are described in a relatively simple manner, and reference may be made to some of the descriptions of the method embodiments for related points. The above-described embodiments of the apparatus and system are merely illustrative, and the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
The above description is only one specific embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. An ethernet test system, characterized in that the test system comprises an input unit, an intelligent processing unit and a test unit:
the input unit is used for acquiring the content to be processed input by a user in a natural language form; the content to be processed is the content describing the problems existing in the Ethernet or the content of testing the Ethernet;
the intelligent processing unit is used for performing semantic analysis on the content to be processed, and if the intelligent processing unit obtains a test item and a test parameter which are matched with the content to be processed according to a semantic analysis result, the test parameter is used for describing a test condition of the test item;
the test unit comprises a Central Processing Unit (CPU), a Field Programmable Gate Array (FPGA) and a physical layer (PHY); the test unit is specifically configured to configure the test items and the test parameters into the field programmable gate array FPGA and the physical layer PHY through the central processing unit CPU, and control a test process to complete a test to obtain test data.
2. The test system of claim 1, further comprising an output unit:
and the output unit is used for displaying the test data to a user.
3. The test system of claim 1, further comprising a storage unit:
the storage unit is used for storing the content to be processed and the test data.
4. The test system of claim 1, wherein the test unit is further configured to return the test data to the intelligent processing unit;
the intelligent processing unit is also used for generating a test conclusion described in a natural language form according to the test data.
5. The testing system of claim 4, further comprising an output unit coupled to the intelligent processing unit, the output unit configured to display the test data and the test conclusion to a user.
6. The test system according to claim 4, further comprising a storage unit for storing the content to be processed, the test data and the test conclusion.
7. The testing system of claim 1, wherein if the intelligent processing unit does not determine the testing item and the testing parameter matching with the content to be processed according to the semantic analysis result, the intelligent processing unit displays a prompt message to the user through an output unit, wherein the prompt message is used for prompting the user to input the content to be processed again.
8. The testing system of claim 7, wherein the intelligent processing unit is configured to perform semantic analysis on the re-input content to be processed.
9. An Ethernet testing method, the method comprising:
acquiring contents to be processed input by a user in a natural language form; the content to be processed is the content describing the problems existing in the Ethernet or the content of testing the Ethernet;
performing semantic analysis on the content to be processed;
if a test item and a test parameter which are matched with the content to be processed are obtained according to the semantic analysis result, network testing is carried out according to the test item and the test parameter to obtain test data, and the test parameter is used for describing the test condition of the test item;
the network test is carried out according to the test items and the test parameters to obtain test data, the test items and the test parameters are configured into a Field Programmable Gate Array (FPGA) and a physical layer (PHY) through a Central Processing Unit (CPU), the test process is controlled, the test is completed, and the test data are obtained.
10. The method of claim 9, further comprising:
and generating a test conclusion described in a natural language form according to the test data.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910194560.8A CN109818833B (en) | 2019-03-14 | 2019-03-14 | Ethernet test system and Ethernet test method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910194560.8A CN109818833B (en) | 2019-03-14 | 2019-03-14 | Ethernet test system and Ethernet test method |
Publications (2)
Publication Number | Publication Date |
---|---|
CN109818833A CN109818833A (en) | 2019-05-28 |
CN109818833B true CN109818833B (en) | 2021-08-17 |
Family
ID=66609059
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910194560.8A Active CN109818833B (en) | 2019-03-14 | 2019-03-14 | Ethernet test system and Ethernet test method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109818833B (en) |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112104526A (en) * | 2020-09-21 | 2020-12-18 | 中国人民解放军陆军装备部驻北京地区军事代表局驻石家庄地区第一军事代表室 | Test system and test method |
Citations (20)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102508775A (en) * | 2011-10-31 | 2012-06-20 | 彭勇 | Interactive automation test system |
CN102622234A (en) * | 2012-03-07 | 2012-08-01 | 迈普通信技术股份有限公司 | Development system and method for automatic test case |
CN102708055A (en) * | 2012-05-14 | 2012-10-03 | 中国联合网络通信集团有限公司 | Method and device for testing credibility of software |
CN104280648A (en) * | 2014-10-31 | 2015-01-14 | 中国航空工业集团公司上海航空测控技术研究所 | Automatic adapting cable test device and method |
CN104883624A (en) * | 2015-05-15 | 2015-09-02 | 小米科技有限责任公司 | Fault detecting method and device for network terminal |
CN104993972A (en) * | 2015-06-12 | 2015-10-21 | 北京信而泰科技股份有限公司 | Ethernet tester |
CN105099813A (en) * | 2015-06-12 | 2015-11-25 | 北京信而泰科技股份有限公司 | Data verification method and device based on Ethernet tester |
CN105608012A (en) * | 2016-03-10 | 2016-05-25 | 武汉斗鱼网络科技有限公司 | Automatic test method and automatic test system |
CN106033392A (en) * | 2015-03-13 | 2016-10-19 | 上海爱韦讯信息技术有限公司 | Method and device for detecting based on inspection word requirement |
CN106597947A (en) * | 2016-12-23 | 2017-04-26 | 国网浙江宁波市鄞州区供电公司 | Substation equipment test method and system, server and tester |
CN106598834A (en) * | 2015-10-19 | 2017-04-26 | 腾讯科技(深圳)有限公司 | UI (User Interface) testing method and device |
CN107608896A (en) * | 2017-09-26 | 2018-01-19 | 上海爱优威软件开发有限公司 | The detection method and system of a kind of terminal applies |
CN107608874A (en) * | 2016-07-12 | 2018-01-19 | 博彦科技股份有限公司 | Method of testing and device |
CN107844417A (en) * | 2017-10-20 | 2018-03-27 | 东软集团股份有限公司 | Method for generating test case and device |
CN108268368A (en) * | 2016-12-30 | 2018-07-10 | 中兴通讯股份有限公司 | A kind of method and apparatus for generating test case script |
CN108415838A (en) * | 2018-03-01 | 2018-08-17 | 吉旗(成都)科技有限公司 | A kind of automated testing method based on natural language processing technique |
CN109086199A (en) * | 2018-06-22 | 2018-12-25 | 网宿科技股份有限公司 | A kind of automation generates the method for test script, terminal and can storage medium |
CN109194551A (en) * | 2018-11-09 | 2019-01-11 | 上海仁童电子科技有限公司 | A kind of real-time ethernet equipment performance test method, apparatus and system |
CN109189692A (en) * | 2018-10-18 | 2019-01-11 | 阳光人寿保险股份有限公司 | A kind of webservice interface test method and device |
CN109446059A (en) * | 2018-09-12 | 2019-03-08 | 北京邮电大学 | The generation method and device of test template script |
Family Cites Families (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20060122834A1 (en) * | 2004-12-03 | 2006-06-08 | Bennett Ian M | Emotion detection device & method for use in distributed systems |
WO2008143660A1 (en) * | 2006-05-12 | 2008-11-27 | Iosemantics, Llc | Generating and utilizing finite input output models, comparison of semantic models and software quality assurance |
US9606980B2 (en) * | 2014-12-16 | 2017-03-28 | International Business Machines Corporation | Generating natural language text sentences as test cases for NLP annotators with combinatorial test design |
CN105912473B (en) * | 2016-04-15 | 2018-12-25 | 上海海万信息科技股份有限公司 | Mobile APP automatically testing platform and test method based on BDD |
US10545854B2 (en) * | 2016-07-01 | 2020-01-28 | Wipro Limited | Method and a system for automatically identifying violations in one or more test cases |
CN109460368A (en) * | 2018-11-22 | 2019-03-12 | 北京同有飞骥科技股份有限公司 | Automatic test approach, device and storage medium based on syntax conversion |
-
2019
- 2019-03-14 CN CN201910194560.8A patent/CN109818833B/en active Active
Patent Citations (20)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102508775A (en) * | 2011-10-31 | 2012-06-20 | 彭勇 | Interactive automation test system |
CN102622234A (en) * | 2012-03-07 | 2012-08-01 | 迈普通信技术股份有限公司 | Development system and method for automatic test case |
CN102708055A (en) * | 2012-05-14 | 2012-10-03 | 中国联合网络通信集团有限公司 | Method and device for testing credibility of software |
CN104280648A (en) * | 2014-10-31 | 2015-01-14 | 中国航空工业集团公司上海航空测控技术研究所 | Automatic adapting cable test device and method |
CN106033392A (en) * | 2015-03-13 | 2016-10-19 | 上海爱韦讯信息技术有限公司 | Method and device for detecting based on inspection word requirement |
CN104883624A (en) * | 2015-05-15 | 2015-09-02 | 小米科技有限责任公司 | Fault detecting method and device for network terminal |
CN104993972A (en) * | 2015-06-12 | 2015-10-21 | 北京信而泰科技股份有限公司 | Ethernet tester |
CN105099813A (en) * | 2015-06-12 | 2015-11-25 | 北京信而泰科技股份有限公司 | Data verification method and device based on Ethernet tester |
CN106598834A (en) * | 2015-10-19 | 2017-04-26 | 腾讯科技(深圳)有限公司 | UI (User Interface) testing method and device |
CN105608012A (en) * | 2016-03-10 | 2016-05-25 | 武汉斗鱼网络科技有限公司 | Automatic test method and automatic test system |
CN107608874A (en) * | 2016-07-12 | 2018-01-19 | 博彦科技股份有限公司 | Method of testing and device |
CN106597947A (en) * | 2016-12-23 | 2017-04-26 | 国网浙江宁波市鄞州区供电公司 | Substation equipment test method and system, server and tester |
CN108268368A (en) * | 2016-12-30 | 2018-07-10 | 中兴通讯股份有限公司 | A kind of method and apparatus for generating test case script |
CN107608896A (en) * | 2017-09-26 | 2018-01-19 | 上海爱优威软件开发有限公司 | The detection method and system of a kind of terminal applies |
CN107844417A (en) * | 2017-10-20 | 2018-03-27 | 东软集团股份有限公司 | Method for generating test case and device |
CN108415838A (en) * | 2018-03-01 | 2018-08-17 | 吉旗(成都)科技有限公司 | A kind of automated testing method based on natural language processing technique |
CN109086199A (en) * | 2018-06-22 | 2018-12-25 | 网宿科技股份有限公司 | A kind of automation generates the method for test script, terminal and can storage medium |
CN109446059A (en) * | 2018-09-12 | 2019-03-08 | 北京邮电大学 | The generation method and device of test template script |
CN109189692A (en) * | 2018-10-18 | 2019-01-11 | 阳光人寿保险股份有限公司 | A kind of webservice interface test method and device |
CN109194551A (en) * | 2018-11-09 | 2019-01-11 | 上海仁童电子科技有限公司 | A kind of real-time ethernet equipment performance test method, apparatus and system |
Non-Patent Citations (3)
Title |
---|
Testing Natural Language Grammars;Inari Listenmaa;《2018 IEEE 11th International Conference on Software Testing, Verification and Validation (ICST)》;20180528;全文 * |
一种软件测试需求建模及测试用例生成方法;杨波;《计算机学报》;20140315;全文 * |
基于以太网的即时通信监控系统研究与实现;章轶;《CNKI硕士论文数据库》;20100415;全文 * |
Also Published As
Publication number | Publication date |
---|---|
CN109818833A (en) | 2019-05-28 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
TW202018533A (en) | Data processing model construction method and device, server and client | |
CN109344170B (en) | Stream data processing method, system, electronic device and readable storage medium | |
CN109976995B (en) | Method and apparatus for testing | |
CN113987074A (en) | Distributed service full-link monitoring method and device, electronic equipment and storage medium | |
CN110086692A (en) | A kind of automated testing method based on Internet of Things, device and computer equipment | |
CN105373478B (en) | Automated testing method and system | |
US20200082810A1 (en) | System and method for mapping a customer journey to a category | |
CN109684188B (en) | Test method and device | |
CN107256428A (en) | Data processing method, data processing equipment, storage device and the network equipment | |
US10374934B2 (en) | Method and program product for a private performance network with geographical load simulation | |
US11244153B2 (en) | Method and apparatus for processing information | |
CN109685089A (en) | The system and method for assessment models performance | |
CN109542780A (en) | Test method, test equipment and the storage medium of natural language processing application | |
CN111223015B (en) | Course recommendation method and device and terminal equipment | |
CN106569951A (en) | Web test method independent of page | |
CN110019838A (en) | Intelligent Answer System and intelligent terminal | |
CN114157701A (en) | Task testing method, device, equipment and storage medium | |
CN104008055B (en) | The method of software test, equipment and system | |
CN109902251A (en) | Scheme Choice method, apparatus, terminal and readable storage medium storing program for executing based on decision tree | |
CN109783359A (en) | The method, apparatus and computer equipment that automatic detection interface effectively identifies | |
CN109818833B (en) | Ethernet test system and Ethernet test method | |
CN111124898A (en) | Question-answering system testing method and device, computer equipment and storage medium | |
CN113065850B (en) | Method and device for testing speaking operation of intelligent outbound robot | |
CN109189692A (en) | A kind of webservice interface test method and device | |
CN109587351A (en) | A kind of call test method, device, equipment and storage medium |
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 |