CN110795931B - Method and terminal for detecting WEB website page language - Google Patents

Method and terminal for detecting WEB website page language Download PDF

Info

Publication number
CN110795931B
CN110795931B CN201810783859.2A CN201810783859A CN110795931B CN 110795931 B CN110795931 B CN 110795931B CN 201810783859 A CN201810783859 A CN 201810783859A CN 110795931 B CN110795931 B CN 110795931B
Authority
CN
China
Prior art keywords
page
language
storing
html
judging whether
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
Application number
CN201810783859.2A
Other languages
Chinese (zh)
Other versions
CN110795931A (en
Inventor
刘德建
易巧静
谢姝丽
陈强
陈婷
王柟
曹佛宝
俞发仁
林琛
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.)
Fujian Tianquan Educational Technology Ltd
Original Assignee
Fujian Tianquan Educational Technology 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 Fujian Tianquan Educational Technology Ltd filed Critical Fujian Tianquan Educational Technology Ltd
Priority to CN201810783859.2A priority Critical patent/CN110795931B/en
Publication of CN110795931A publication Critical patent/CN110795931A/en
Application granted granted Critical
Publication of CN110795931B publication Critical patent/CN110795931B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Abstract

The invention provides a method and a terminal for detecting WEB page languages, which are used for automatically identifying the page language of each html page by storing and traversing all html pages of a WEB site, detecting the page language and converting tedious and time-consuming manual operation into automatic operation, so that a tester does not need to spend a large amount of time for verifying characters at corner angles in the page, the test time is saved, and the test efficiency is improved.

Description

Method and terminal for detecting WEB website page language
Technical Field
The invention relates to the field of language detection, in particular to a method and a terminal for detecting WEB page language.
Background
When a system develops to a certain degree, languages of all countries in the world need to be compatible, and the language compatibility comprises dynamic data of background management configuration, static characters rendered by a server, static characters rendered by js and the like.
At present, a detection scheme for WEB page languages is that a tester manually operates to traverse a WEB site, and manually judges whether language versions are correctly switched, wherein dynamic data configured by background management is difficult to be covered in all directions, and a verification result is obtained after operations such as item replacement or data clearing are possibly required. If the website is switched to each language, testers need to walk through the website without dead angles, the workload required here is undoubtedly huge, the working efficiency is extremely low, meanwhile, information such as prompt boxes, static characters and the like of corners and corners inside the website can be omitted, and the coverage of dynamic data of background configuration management is not high, so that the obstruction is brought to the international language test.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the test method and the terminal for WEB site page language detection are provided, automatic test is realized, and test efficiency is improved.
In order to solve the technical problems, the invention adopts the technical scheme that:
a method for detecting WEB site page language is characterized by comprising the following steps:
s1, storing all html pages of a WEB website;
and S2, traversing all the stored html pages, automatically identifying the page language of each html page, and detecting the page language.
In order to solve the technical problem, the invention adopts another technical scheme as follows:
a detection terminal for WEB site page language comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, and is characterized in that the processor implements the following steps when executing the computer program:
s1, storing all html pages of a WEB site;
s2, traversing all the stored html pages, automatically identifying the page language of each html page, and detecting the page language.
The invention has the beneficial effects that: the page language of each html page is automatically identified by storing and traversing all html pages of a WEB website, the page language is detected, and complicated and time-consuming manual operation is converted into automatic operation, so that a tester does not need to spend a large amount of time to verify characters of corner angles in the page, the testing time is saved, and the testing efficiency is improved.
Drawings
FIG. 1 is a flowchart of a method for detecting WEB page language according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of WEB page language detection according to an embodiment of the present invention;
FIG. 3 is a schematic view illustrating a page storage process for WEB page language detection according to an embodiment of the present invention;
FIG. 4 is a schematic view illustrating a page identification detection process of WEB page language detection according to an embodiment of the present invention;
description of reference numerals:
1. a WEB website language detection terminal; 2. a memory; 3. a processor.
Detailed Description
In order to explain technical contents, achieved objects, and effects of the present invention in detail, the following description is made with reference to the accompanying drawings in combination with the embodiments.
The most key concept of the invention is to store and traverse all html pages of a WEB website, automatically identify the page language of each html page and detect the page language.
Referring to fig. 1, a method for detecting WEB page languages includes the steps of:
s1, storing all html pages of a WEB website;
and S2, traversing all the stored html pages, automatically identifying the page language of each html page, and detecting the page language.
From the above description, the beneficial effects of the present invention are: the page language of each html page is automatically identified by storing and traversing all html pages of a WEB website, the page language is detected, and complicated and time-consuming manual operation is converted into automatic operation, so that a tester does not need to spend a large amount of time to verify characters of corner angles in the page, the testing time is saved, and the testing efficiency is improved.
Further, the S1 includes the steps of:
s11, initializing a website, and switching the language version of the WEB website into a first language version;
s12, judging whether the current page exists or not, if so, executing a step S16, otherwise, executing a step S13;
s13, creating a directory locally according to the webpage address of the current page, saving the hypertext stream of the current page into an html (hypertext markup language) page by using a UI (user interface) automation tool, and storing the html page in the created directory;
s14, identifying a jump link in the html page through the DOM locator, and storing the jump link into a path array of a corresponding layer according to the layer to which the jump link belongs;
s15, judging whether the path array of the current layer is empty, if so: step S16 is executed, otherwise: executing the step S17;
s16, finishing the traversal of the path array of the current layer, and returning to the path array of the previous layer;
s17, judging whether the traversal of all the hierarchical path arrays is finished, and if not, executing the step S18;
s18, taking out the jump link of the next path in the path array of the current layer, simulating click operation by using a UI automation tool, jumping to the html page corresponding to the jump link, and returning to the step S12.
According to the description, all pages of the WEB site can be automatically stored through the specific steps, so that tedious and time-consuming manual storage operation is avoided, the test coverage rate is improved, and the test missing risk is avoided.
Further, the step S2 of automatically identifying the page language of each html page includes:
acquiring tag information of the html page by using a DOM (document object model) locator, and storing IDs (identity) and characters in the tag information to a first temporary set respectively as key value pairs;
traversing the first temporary set, deleting key value pairs corresponding to punctuation marks in the first set, and converting the values in the remaining key value pairs into unicode codes;
storing the converted key-value pairs to a second temporary set.
According to the description, the tag information of the html page can be completely acquired by acquiring the tag information of the html page through the DOM locator; and respectively storing the ID and the characters in the label information as key value pairs, deleting the key value pairs with punctuation marks, and converting the values in the remaining key value pairs into unicode codes so as to conveniently identify and detect the unicode codes by using a regular expression subsequently to judge whether the html page has a non-first language.
Further, the detecting the page language in step S2 includes:
traversing the second temporary set, identifying the value of the key value pair in the second temporary set by using a regular expression, judging whether the value is in the first language, and if not, storing the key value pair corresponding to the value into a third temporary set; and taking the directory path of the current html page as a key, and recording the third temporary set as a value corresponding to the key into the global set.
As can be seen from the above description, by identifying unicode codes of the values of the second temporary set through regular expressions, it can be accurately determined whether the values are in the first language; and storing the key value pairs which are identified and judged by the regular expression and are in the non-first language and the corresponding directory paths, wherein the stored directory paths are convenient for acquiring the page position information of the non-first language in the test report.
Further, the method also comprises the following steps:
and S3, judging whether the global set is empty or not, if so, indicating that the detection is passed, otherwise, not, writing the global set and the detection result into a test report and outputting the test report.
As can be seen from the above description, writing the global set and the detection result into the test report and outputting the test report facilitates the analysis of the problems and defects found by the tester when reading the test report.
Referring to fig. 2, a test terminal for WEB page language includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the following steps when executing the computer program:
s1, storing all html pages of a WEB site;
and S2, traversing all the stored html pages, automatically identifying the page language of each html page, and detecting the page language.
From the above description, the beneficial effects of the present invention are: the page language of each html page is automatically identified by storing and traversing all html pages of a WEB website, the page language is detected, and complicated and time-consuming manual operation is converted into automatic operation, so that a tester does not need to spend a large amount of time to verify characters of corner angles in the page, the testing time is saved, and the testing efficiency is improved.
Further, the S1 includes the steps of:
s11, initializing a website, and switching the language version of the WEB website into a first language version;
s12, judging whether the current page exists or not, if so, executing a step S16, otherwise, executing a step S13;
s13, creating a directory locally according to the webpage address of the current page, saving the hypertext stream of the current page into an html (hypertext markup language) page by using a UI (user interface) automation tool, and storing the html page in the created directory;
s14, identifying a jump link in the html page through the DOM locator, and storing the jump link into a path array of a corresponding layer according to the layer to which the jump link belongs;
s15, judging whether the path array of the current layer is empty, if so: step S16 is performed, otherwise: executing the step S17;
s16, finishing the traversal of the path array of the current layer, and returning to the path array of the previous layer;
s17, judging whether all the hierarchical path arrays are traversed or not, and if not, executing a step S18;
s18, taking out the jump link of the next path in the path array of the current layer, simulating click operation by using a UI automation tool, jumping to the html page corresponding to the jump link, and returning to the step S12.
According to the description, all the pages of the WEB site can be automatically stored in the specific steps, so that the tedious and time-consuming manual storage operation is avoided, the test coverage rate is improved, and the missing test risk is avoided.
Further, the step S2 of automatically identifying the page language of each html page includes:
acquiring tag information of the html page by using a DOM (document object model) locator, and storing IDs (identity) and characters in the tag information to a first temporary set respectively as key value pairs;
traversing the first temporary set, deleting key value pairs corresponding to punctuation marks in the first set, and converting the values in the remaining key value pairs into unicode codes;
storing the converted key-value pairs to a second temporary set.
According to the description, the tag information of the html page can be completely acquired by acquiring the tag information of the html page through the DOM locator; and respectively storing the ID and the characters in the label information as key value pairs, deleting the key value pairs with punctuation marks, and converting the values in the remaining key value pairs into unicode codes so as to conveniently identify and detect the unicode codes by using a regular expression subsequently to judge whether the html page has a non-first language.
Further, the detecting the page language in step S2 includes:
traversing the second temporary set, identifying the value of the key value pair in the second temporary set by using a regular expression, judging whether the value is in the first language, and if not, storing the key value pair corresponding to the value into a third temporary set; and taking the directory of the current html page as a key, and recording the third temporary set as a value corresponding to the key into the global set.
As can be seen from the above description, by identifying unicode codes of the values of the second temporary set through regular expressions, it can be accurately determined whether the values are in the first language; and storing the key value pairs which are identified and judged by the regular expression and are in the non-first language and the corresponding directory paths, wherein the stored directory paths are convenient for acquiring the page position information of the non-first language in the test report.
Further, the method also comprises the following steps:
and S3, judging whether the global set is empty or not, if so, indicating that the detection is passed, otherwise, not, writing the global set and the detection result into a test report and outputting the test report.
As can be seen from the above description, the global set and the detection result are written into the test report and the test report is output, so that a tester can conveniently analyze the found problems and defects when reading the test report.
Referring to fig. 1, fig. 3 and fig. 4, a first embodiment of the present invention is:
a method for detecting WEB site page language includes the following steps:
s1, storing all html pages of a WEB website;
s2, traversing all the stored html pages, automatically identifying the page language of each html page, and detecting the page language.
Wherein the S1 comprises the steps of:
s11, initializing a website, and switching the language version of the WEB website into a first language version, such as a non-Chinese version;
s12, judging whether the current page exists or not, if so, representing that the html page is cached, and executing a step S16, otherwise, executing a step S13;
s13, creating a directory locally according to the webpage address of the current page, saving the hypertext stream of the current page into an html page by using a UI automation tool, and storing the html page in the created directory;
s14, identifying a jump link in the html page through the DOM locator, and storing the jump link into a path array of a corresponding layer according to the layer to which the jump link belongs;
s15, judging whether the path array of the current layer is empty, if so: step S16 is performed, otherwise: executing the step S17;
s16, finishing the traversal of the path array of the current layer, and returning to the path array of the previous layer;
s17, judging whether the traversal of all the hierarchical path arrays is finished, and if not, executing the step S18;
and S18, taking out the jump link of the next path in the path array of the current layer, simulating click operation by using a UI automation tool, jumping to the html page corresponding to the jump link, and returning to the step S12 until the website is traversed completely.
Wherein the step S2 includes the steps of:
and S21, traversing and taking out the html page according to the html page directory stored in the step S1.
S22, acquiring html page tag information by using a DOM locator, such as dynamic data returned by a server, characters in a page js, static characters rendered at the head and the bottom of the page, and the like, and storing the ID and the characters in the tag information into a first temporary set, such as mapA, as key value pairs, namely key and value, respectively as keys and values.
S23, traversing the mapA, deleting the key value pair corresponding to the punctuation mark in the mapA median (for example, "classmate, hello", changed to "classmate hello" after the processing is completed), converting the values in the rest key value pairs into unicode codes, and storing the converted key and value into a second temporary set, such as mapB.
S24, traversing the mapB, and identifying the value in the mapB set by using a regular expression.
S25, judging whether the value is Chinese or not, if not: step S27 is executed, if yes: storing the value with non-Chinese characters and the corresponding key into a third temporary set, such as a mapC, and recording the directory path of the current html page into an ArrayList set.
S26, judging whether the mapB is traversed and ended, if so: step S27 is performed, otherwise: step S24 is performed.
S27, taking the directory path of the current html page as a key, and storing the mapC as a value corresponding to the key into the global map.
S28, judging whether the directory of the html page is traversed and finished, if not: step S21 is executed, if yes: judging whether the global map has a value, if so: and on the premise that the Chinese character is detected, the test fails, and the global map data is recorded into a test report, otherwise: the verification of the web page language version is passed;
and finally outputting a test report (the test report comprises a test result, namely pass/fail, and if the test result is fail, the path address, chinese characters and the like of the html page containing Chinese are recorded in the test report).
Referring to fig. 2, the second embodiment of the invention is:
a detection terminal 1 for WEB site page language comprises a memory 2, a processor 3 and a computer program stored on the memory 2 and capable of running on the processor 3, wherein the processor 3 implements the steps in the first embodiment when executing the computer program.
In summary, according to the detection method and the terminal for WEB pages of a WEB site provided by the present invention, all html pages of the WEB site are stored and traversed, the page language of each html page is automatically identified, the page language is detected, and tedious and time-consuming manual operation is changed into automatic operation, so that a tester does not need to spend a lot of time to verify the characters of the corner angles in the page, the test time is saved, and the test efficiency is improved; an automatic tool is used for scanning the html page and automatically identifying the language, so that the test coverage rate is improved, the integrity of page test is ensured, and the test missing risk is avoided; taking the current directory path as a key value, taking the temporary mapC set as a value, and recording the value into the global set, wherein the directory path stored in the key is convenient for acquiring page position information of a non-first language in a test report subsequently, so that the recorded information of a test result is complete, the positioning problem of a tester is convenient, and a guarantee is provided for international testing; through the unicode coding of the values of the mapB set in the regular expression form, whether Chinese exists in the html page tag information or not can be accurately judged.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all equivalent changes made by using the contents of the present specification and the drawings, or applied directly or indirectly to the related technical fields, are included in the scope of the present invention.

Claims (2)

1. A method for detecting WEB site page language is characterized by comprising the following steps:
s1, storing all html pages of a WEB website:
s11, initializing a website, and switching the language version of the WEB website into a first language version;
s12, judging whether a current page exists or not, if so, executing a step S16, otherwise, executing a step S13;
s13, creating a directory locally according to the webpage address of the current page, storing the hypertext stream of the current page into an html page by using a UI automation tool, and storing the html page in the created directory;
s14, identifying a jump link in the html page through the DOM locator, and storing the jump link into a path array of a corresponding layer according to the layer to which the jump link belongs;
s15, judging whether the path array of the current layer is empty, if so: step S16 is executed, otherwise: executing the step S17;
s16, finishing the traversal of the path array of the current layer, and returning to the path array of the previous layer;
s17, judging whether all the hierarchical path arrays are traversed or not, and if not, executing a step S18;
s18, taking out a jump link of a next path in the path array of the current layer, simulating click operation by using a UI automation tool, jumping to an html page corresponding to the jump link, and returning to the step S12;
s2, traversing all stored html pages, automatically identifying the page language of each html page, acquiring the tag information of the html page by using a DOM (document object model) locator, and storing the ID and the characters in the tag information into a first temporary set as key value pairs respectively;
traversing the first temporary set, deleting key value pairs corresponding to punctuation marks in the first set, and converting the values in the remaining key value pairs into unicode codes;
storing the converted key-value pairs to a second temporary set; detecting the page language, traversing the second temporary set, identifying the values of the key value pairs in the second temporary set by using a regular expression, judging whether the values are in the first language, and if not, storing the key value pairs corresponding to the values into a third temporary set;
taking a directory path of a current html page as a key, and recording the third temporary set as a value corresponding to the key into a global set;
and S3, judging whether the global set is empty or not, if so, indicating that the detection is passed, otherwise, not, writing the global set and the detection result into a test report and outputting the test report.
2. A detection terminal for WEB site page language comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, and is characterized in that the processor implements the following steps when executing the computer program:
s1, storing all html pages of a WEB website:
s11, initializing a website, and switching the language version of the WEB website into a first language version;
s12, judging whether the current page exists or not, if so, executing a step S16, otherwise, executing a step S13;
s13, creating a directory locally according to the webpage address of the current page, saving the hypertext stream of the current page into an html page by using a UI automation tool, and storing the html page in the newly created directory;
s14, identifying the jump link in the html page through the DOM locator, and storing the jump link into the path array of the corresponding hierarchy according to the hierarchy to which the jump link belongs;
s15, judging whether the path array of the current layer is empty, if so: step S16 is performed, otherwise: executing the step S17;
s16, finishing the traversal of the path array of the current layer, and returning to the path array of the previous layer;
s17, judging whether all the hierarchical path arrays are traversed or not, and if not, executing a step S18;
s18, taking out the jump link of the next path in the path array of the current layer, simulating click operation by using a UI automation tool, jumping to an html page corresponding to the jump link, and returning to the step S12;
s2, traversing all stored html pages, automatically identifying the page language of each html page, acquiring tag information of the html page by using a DOM (document object model) locator, and storing IDs (identity) and characters in the tag information to a first temporary set as key value pairs respectively;
traversing the first temporary set, deleting key value pairs corresponding to punctuation marks in the first set, and converting the values in the remaining key value pairs into unicode codes;
storing the converted key-value pairs to a second temporary set; detecting the page language, traversing the second temporary set, identifying the value of the key value pair in the second temporary set by using a regular expression, judging whether the value is the first language, and if not, storing the key value pair corresponding to the value into a third temporary set;
taking a directory path of a current html page as a key, and recording the third temporary set as a value corresponding to the key into a global set;
and S3, judging whether the global set is empty or not, if so, indicating that the detection is passed, otherwise, not, writing the global set and the detection result into a test report and outputting the test report.
CN201810783859.2A 2018-07-17 2018-07-17 Method and terminal for detecting WEB website page language Active CN110795931B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810783859.2A CN110795931B (en) 2018-07-17 2018-07-17 Method and terminal for detecting WEB website page language

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810783859.2A CN110795931B (en) 2018-07-17 2018-07-17 Method and terminal for detecting WEB website page language

Publications (2)

Publication Number Publication Date
CN110795931A CN110795931A (en) 2020-02-14
CN110795931B true CN110795931B (en) 2022-10-21

Family

ID=69425061

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810783859.2A Active CN110795931B (en) 2018-07-17 2018-07-17 Method and terminal for detecting WEB website page language

Country Status (1)

Country Link
CN (1) CN110795931B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115238210A (en) * 2022-09-21 2022-10-25 云账户技术(天津)有限公司 Website link availability checking method and device, storage medium and terminal

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7016977B1 (en) * 1999-11-05 2006-03-21 International Business Machines Corporation Method and system for multilingual web server
CN102314497A (en) * 2011-08-26 2012-01-11 百度在线网络技术(北京)有限公司 Method and equipment for identifying body contents of markup language files
CN102460432A (en) * 2009-06-30 2012-05-16 惠普开发有限公司 Selective content extraction
CN103714109A (en) * 2012-10-04 2014-04-09 柯尼卡美能达株式会社 Display method for webpage
CN103745003A (en) * 2014-01-24 2014-04-23 北京京东尚科信息技术有限公司 HTML fragment detection method
CN104750719A (en) * 2013-12-30 2015-07-01 镇江天和计算机科技有限公司 Method for implementing multi-language version of web page
CN105117221A (en) * 2015-08-14 2015-12-02 努比亚技术有限公司 Language data writing method and apparatus based on web page

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9251223B2 (en) * 2012-02-29 2016-02-02 Google Inc. Alternative web pages suggestion based on language

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7016977B1 (en) * 1999-11-05 2006-03-21 International Business Machines Corporation Method and system for multilingual web server
CN102460432A (en) * 2009-06-30 2012-05-16 惠普开发有限公司 Selective content extraction
CN102314497A (en) * 2011-08-26 2012-01-11 百度在线网络技术(北京)有限公司 Method and equipment for identifying body contents of markup language files
CN103714109A (en) * 2012-10-04 2014-04-09 柯尼卡美能达株式会社 Display method for webpage
CN104750719A (en) * 2013-12-30 2015-07-01 镇江天和计算机科技有限公司 Method for implementing multi-language version of web page
CN103745003A (en) * 2014-01-24 2014-04-23 北京京东尚科信息技术有限公司 HTML fragment detection method
CN105117221A (en) * 2015-08-14 2015-12-02 努比亚技术有限公司 Language data writing method and apparatus based on web page

Also Published As

Publication number Publication date
CN110795931A (en) 2020-02-14

Similar Documents

Publication Publication Date Title
CN102521121B (en) Page testing method and page testing device
US9418315B1 (en) Systems, methods, and computer readable media for extracting data from portable document format (PDF) files
CN110688307B (en) JavaScript code detection method, device, equipment and storage medium
CN104252410A (en) Method and equipment for testing control in page
CN112015467A (en) Point burying method, medium, device and computing equipment
CN110795931B (en) Method and terminal for detecting WEB website page language
CN110414010A (en) The processing method of internationalized resources file translation text, readable storage medium storing program for executing
JPWO2009066762A1 (en) User interface recognition apparatus and user interface recognition method
CN112506778A (en) WEB user interface automatic test method, device, equipment and storage medium
CN113032279A (en) Web application testing and repairing method based on semantic path search
CN110543641B (en) Chinese and foreign language information comparison method and device
CN111679825A (en) Cascading style sheet generation method and device, computer equipment and storage medium
CN111125590B (en) Method and device for drawing thermodynamic diagram
CN114911698B (en) Automatic test method and device, electronic equipment and storage medium
CN112148581A (en) Code specification checking method, device, system and storage medium
CN112650479A (en) Webpage CSS structure automatic generation method and storage medium
CN110837614A (en) Method and system for efficiently generating webpage information extraction rule
CN111131660B (en) Image data processing method and device, electronic equipment and storage medium thereof
CN117520690B (en) UI (user interface) automation method and related device based on CSS (CSS style) style prerendering contrast
CN112035367B (en) Method and system for checking workflow correctness of big data platform
CN114860582B (en) Web page test auxiliary method and system
CN113612745A (en) Vulnerability detection method, system, equipment and medium
CN114416603B (en) UI element testing method and device, storage medium and equipment
CN113419739B (en) Node map difference detection method and device, electronic equipment and storage medium
JP2013037580A (en) Information processor

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