CN110991156A - Automatic report generation method based on ship numerical value virtual test - Google Patents
Automatic report generation method based on ship numerical value virtual test Download PDFInfo
- Publication number
- CN110991156A CN110991156A CN201911142359.1A CN201911142359A CN110991156A CN 110991156 A CN110991156 A CN 110991156A CN 201911142359 A CN201911142359 A CN 201911142359A CN 110991156 A CN110991156 A CN 110991156A
- Authority
- CN
- China
- Prior art keywords
- data
- test
- pictures
- report
- template
- 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
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/30—Creation or generation of source code
- G06F8/31—Programming languages or programming paradigms
- G06F8/315—Object-oriented languages
-
- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The invention discloses an automatic report generation method based on a ship numerical value virtual test. The invention mainly comprises the following steps: framework design, data processing, post-processing, data replacement, and framework integration. According to the automatic report generation method based on the ship numerical virtual test, json files or related data files generated when the webpage is subjected to the virtual test can be intelligently extracted, automatically converted into corresponding images, tables and texts, and a test report is generated. The method for automatically generating the test report not only can accurately express the relationship between data, but also can show various test results. The test results have better universality and consistency, and the efficiency of generating test reports is improved.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to an automatic report generation method based on a ship numerical value virtual test.
Background
How to effectively find the rule from the test data and find the hidden information in the test, and the method helps the tester to make accurate analysis, and is a very important ring in the field of data processing. With the development of information technology and the arrival of the era of 'internet +', a large amount of project data, characters, pictures, videos and the like are accumulated in the field of company development, particularly equipment manufacturing industry and project management, how to effectively analyze and process the data can better meet the working business requirements of governments or enterprises, the functions of daily management, intelligent analysis and even decision assistance are provided for the data, the problem of 'information island' is solved, efficient collaborative office is realized, and the method has higher academic value and application scenes.
The numerical pool is a technology for simulating fluid flow by a computer, solving a fluid motion equation and simulating the motion and stress of an ocean structure, and can realize three types of simulation fluid flow including Reynolds average numerical simulation, large vortex simulation, direct numerical simulation and the like. The functions of a towing tank, a cavitation water tunnel, a wave-resistant tank, a manipulation tank and a wave-resistant water tank for marine engineering for ship tests can be realized, the reasons for the generation of fluid flow phenomena can be revealed, and the fine observation of a flow field is far superior to that of a physical tank.
With the continuous increase of numerical value pool tests, the test data of each test is huge, and the construction of a centralized report generation system with high reliability and high availability is a crucial step for mining the key information hidden in the complex data. Therefore, a method capable of unifying virtual tests and automatically generating test reports is an urgent problem to be solved.
Disclosure of Invention
The invention provides an automatic report generation method based on a ship numerical virtual test, aiming at solving the problems of various and irregular ship numerical virtual test data and improving the accuracy and efficiency of test reports, and the invention provides the following technical scheme:
a report automatic generation method based on a ship numerical virtual test comprises the following steps:
step 1: designing a frame by combining a singleton mode and a factory mode;
step 2: extracting text data generated by a virtual experiment, and storing and integrating the extracted data;
and step 3: carrying out post-processing on the integrated data to generate images, tables and texts required by the report;
and 4, step 4: replacing images, tables and texts in the generated report by using special marks, wherein the special marks are positioned in paragraphs or tables, and updating the catalogue;
and 5: and integrating the designed frame with the front-end webpage to finish the generation of a test report.
Preferably, the step 1 specifically comprises:
step 1.1: compiling test templates corresponding to different test reports according to test requirements, inserting required position information into the templates, and setting marks;
step 1.2: changing the test templates into abstract classes by adopting an abstract factory method in a factory mode, packaging the common part in the abstract classes, and realizing different test templates by using subclasses;
step 1.3: and the code is changed to generate corresponding test reports aiming at different tests, a singleton mode is adopted when the reports of the different tests are generated, the condition that the template is only operated in the same object when subsequently operated is ensured, the stability and the expansibility of the program are ensured, and the framework design is completed.
Preferably, the step 2 specifically comprises:
step 2.1: performing a virtual test on a webpage, storing the generated related data files in a queue for management and storage in an ArrayList, and reading one by one;
step 2.2: and integrating and processing the extracted effective data according to different requirements of each test, wherein the effective data comprises single data, data in a filling table, horizontal and vertical coordinate data of a picture, and data for generating a cloud picture and a grid picture.
Preferably, the integrating and processing of the valid data is specifically:
when single data type integration and processing are carried out, single data are inserted into the experiment report template, only the data needing to be used are extracted when the single data are encountered again, and a HashMap mapping relation is established with the mark corresponding to the template;
when the data of a single table is manufactured, the data of the single table is put into a matrix and is prepared for subsequent post-processing work;
when data of a single picture are made, the data of the single picture comprise a line graph and a scatter diagram, the line graph and the scatter diagram appear in a coordinate form in a group, and the data of the single picture are extracted according to the group and are sorted;
making cloud pictures, grid pictures and other complex data, and when the data meet different requirements of each experiment, selecting useful parts to be extracted and stored in a json file according to different requirements of each experiment to prepare for subsequent post-processing;
and when the data is mixed data, making a plurality of pictures or tables, grouping the mixed data according to the requirements of the test, and then sorting the grouped data to prepare for subsequent processing.
Preferably, the step 3 specifically comprises:
step 3.1: processing the integrated data into a 3D cloud picture, a grid division picture, a bar graph and a line graph required in a report through PostProcess3D, Tecplot and a Java interface;
step 3.2: and finding data corresponding to the template marks in different xml configuration files corresponding to each test, and establishing a HashMap mapping relation.
Preferably, the establishing the HashMap mapping relationship specifically includes:
when a single chart is processed, the single chart comprises a line chart and a scatter chart, pictures are made through a Java interface and stored, and a HashMap mapping relation is established between the pictures and corresponding template marks;
when a single picture is processed, establishing PostProcess3D and Tecplot scripts for the integrated data, generating and storing the picture, and establishing a HashMap mapping relation between the picture and a template mark;
when a plurality of pictures are processed, all the pictures are made and stored, all the pictures are stored in a set, and then the set and the template marks are used for establishing a HashMap mapping relation.
Preferably, the step 4 specifically includes:
step 4.1: replacing the special mark in the analyzed json file, wherein the special mark is the mark inserted in the test report in the frame design,
when single data or pictures are replaced, the marks are replaced by the data or pictures which form a mapping relation with the marks during data processing at the marks of the template;
when the table is replaced, a background table inserting function is called, a corresponding table is inserted at a special mark position marked as an inserted table, and the format of the table is regular or irregular;
step 4.2: when a plurality of pictures are inserted into a mark, the pictures are sequentially inserted in front of the mark according to the sequence of a set of pictures generated in a post-processing stage, a function is called between the two pictures, a legend of the pictures is inserted, and the mark is deleted after the completion;
and updating the catalog to complete the generation of the test report, and when the table is marked as ￥ 1 along with the corresponding template, replacing the mark ￥ 1 in the template with the manufactured table to complete data replacement.
Preferably, the insertion marking process is specifically: when single data or pictures are replaced, the marks are replaced by the data or pictures which form a mapping relation with the marks during data processing at the marks of the template;
when replacing the table, calling a background table inserting function, and inserting the corresponding table at the position of the special mark marked as the inserted table, wherein the format of the table is regular or irregular.
Preferably, the step 5 specifically comprises:
and integrating the designed frame and a front-end webpage, packaging the completed data into jar files by adopting a maven project model, integrating the jar files into a server, providing an interface for the whole project, forming a unified whole by the test and a test generation report frame, and completing the generation of a test report.
The invention has the following beneficial effects:
the test report automatic generation method provided by the invention can be combined with the virtual test into a unified whole. The automatic report generation method based on the ship numerical virtual test can better display a large amount of complex data generated by the test, better express the content implied in the test, help the testers to understand the test effect more quickly and conveniently, show more directly and beautifully and improve the efficiency of manually making the report in the past.
Drawings
FIG. 1 is a flow chart of a method for automatically generating a report based on a ship numerical virtual test;
FIG. 2 is a data processing and post processing flow diagram;
fig. 3 is a data replacement flow chart.
Detailed Description
The present invention will be described in detail with reference to specific examples.
The first embodiment is as follows:
as shown in fig. 1, the present invention provides an automatic report generation method based on a ship numerical virtual test, and the automatic report generation method based on the ship numerical virtual test includes the following steps:
step 1: designing a frame by combining a singleton mode and a factory mode;
the method comprises the steps of firstly designing a corresponding template according to a test requirement, setting a mark at a position where data or a diagram is required to be inserted, then concluding that the common features of all test templates are packaged in an abstract class, using an enumeration method to realize a single-case mode, specifically endowing each different template with a unique index, and creating the test template only once when the index is received, thereby ensuring the accuracy and the uniqueness of template creation. Meanwhile, the method adds multiple threads into the framework, so that multiple templates can be created at the same time, each template can be created only one unique template, the generation efficiency of the test template is improved, and the stability and the expandability of the program are also improved.
Step 2: extracting text data generated by a virtual experiment, and storing and integrating the extracted data;
after the ship virtual test is completed, a large number of data files are generated, wherein the data files have regular data and irregular data, the generated data files are stored in a queue for management according to different rules provided by each test and are read one by one, extracted effective data are integrated and processed according to different requirements of the test, the effective data comprise single data, data in a filling form, horizontal and vertical coordinate data of a picture, data for generating a cloud picture and a grid picture, and the use of a subsequent post-processing stage is facilitated. The processed data is divided into five types, the first type is a single data type, the data only needs to be inserted into an experimental report template, when the data is encountered, the data needed to be used is only needed to be extracted, and then a HashMap mapping relation is established between the data and a mark corresponding to the template; the second type is data that needs to be made into a single table, and when such data is encountered, the data is put into a matrix to prepare for subsequent post-processing work. For example, the received text is "ship a, a length of 1 meters, a width of 2 meters, a draft of 3 meters; a ship B with a length of B1 m, a width of B2 m and a draft of B3 m; the ship C is C1 m long, C2 m wide and C3 m deep, and the numbers in the ship C need to be extracted and put in a matrix with 3 rows and 4 columns; the third kind of data is data for making a single picture, such as a line graph, a scatter diagram and the like, most of the data appears in a coordinate form in groups, and when the data is encountered, the data needs to be extracted and sorted according to the groups. The fourth type of data is complex data such as cloud pictures, grid pictures and the like, when the data is met, according to different requirements of each experiment, useful parts need to be selected and extracted to be stored in a json file, and preparation is made for later post-processing. The last type of data is mixed data, a plurality of pictures or tables need to be made for the data, when the data is encountered, a plurality of disordered data are grouped according to the requirement of a test, and the grouped data are arranged to prepare for subsequent processing.
And step 3: carrying out post-processing on the integrated data to generate images, tables and texts required by the report;
because the test method and purpose adopted by each test are different, a tester can provide different configuration files and corresponding execution script files according to actual needs, the method changes rule data after data processing into cloud pictures, bar pictures, line pictures, tables and the like which are needed by the test through PostProcesss3D, Tecplot and Java interfaces, and can express the rule data of the test result, and establishes one-to-one corresponding KV systems according to the configuration files, namely establishes HashMap mapping relation, and prepares for the following data replacement work. Three situations arise at this stage, the first being to process a single simple chart, such as a line chart, a scatter chart, etc. At the moment, simple pictures are made and stored through a Java interface, and then a HashMap mapping relation is established between the pictures and corresponding template marks; the second case is processing complex pictures, when processing such data, the PostProcess3D and Tecplot scripts are established for the integrated data in the previous step, so that the required complex pictures are generated and stored, and then the mapping relation corresponding to the template marks is established. The last case is a case of processing multiple pictures, and all the pictures need to be created and stored, and then the pictures are stored in a set, and then the set and the mark establish a mapping relationship.
And 4, step 4: replacing images, tables and texts in the generated report by using special marks, wherein the special marks are positioned in paragraphs or tables, and updating the catalogue;
the first is the simplest to replace a single data or picture, only the mark is required to be replaced at the mark of the template into data which forms a mapping relation with the mark when the data is processed, the second situation is that the form needs to be replaced, a form function is called when the form is replaced, a corresponding form is inserted at the position of the special mark marked as the inserted form, wherein the form format can be regular or irregular, and the third situation is that a plurality of pictures need to be inserted at one mark, at the time, the pictures need to be sequentially inserted in front of the mark according to the sequence of the set of the pictures generated in the post-processing stage, a function is called between the two pictures, the picture is inserted, the mark is deleted after the completion, finally, the work of generating a test report of updating the directory is completed, and then, if the mark is replaced by the mark 351 in the template 351', the data of the replaced by the mark is replaced by the mark 3583.
And 5: and integrating the designed frame with the front-end webpage to finish the generation of a test report.
In order to facilitate the operation of testers, the completed codes are packaged into jar files by using a maven project model and are integrated into a server, so that an interface is provided for the whole project, the conflict and the dependency of jar packages are solved, and a test generation report framework form a unified whole; the construction of this section is also made clearer.
The above description is only a preferred embodiment of the method for automatically generating the report based on the ship numerical value virtual test, and the protection scope of the method for automatically generating the report based on the ship numerical value virtual test is not limited to the above embodiments, and all technical solutions belonging to the idea belong to the protection scope of the present invention. It should be noted that modifications and variations which do not depart from the gist of the invention will be those skilled in the art to which the invention pertains and which are intended to be within the scope of the invention.
Claims (9)
1. A report automatic generation method based on a ship numerical virtual test is characterized by comprising the following steps: the method comprises the following steps:
step 1: designing a frame by combining a singleton mode and a factory mode;
step 2: extracting text data generated by a virtual experiment, and storing and integrating the extracted data;
and step 3: carrying out post-processing on the integrated data to generate images, tables and texts required by the report;
and 4, step 4: replacing images, tables and texts in the generated report by using special marks, wherein the special marks are positioned in paragraphs or tables, and updating the catalogue;
and 5: and integrating the designed frame with the front-end webpage to finish the generation of a test report.
2. The method for automatically generating the report based on the ship numerical virtual test as claimed in claim 1, wherein: the step 1 specifically comprises the following steps:
step 1.1: compiling test templates corresponding to different test reports according to test requirements, inserting required position information into the templates, and setting marks;
step 1.2: changing the test templates into abstract classes by adopting an abstract factory method in a factory mode, packaging the common part in the abstract classes, and realizing different test templates by using subclasses;
step 1.3: and the code is changed to generate corresponding test reports aiming at different tests, a singleton mode is adopted when the reports of the different tests are generated, the condition that the template is only operated in the same object when subsequently operated is ensured, the stability and the expansibility of the program are ensured, and the framework design is completed.
3. The method for automatically generating the report based on the ship numerical virtual test as claimed in claim 1, wherein: the step 2 specifically comprises the following steps:
step 2.1: performing a virtual test on a webpage, storing the generated related data files in a queue for management and storage in an ArrayList, and reading one by one;
step 2.2: and integrating and processing the extracted effective data according to different requirements of each test, wherein the effective data comprises single data, data in a filling table, horizontal and vertical coordinate data of a picture, and data for generating a cloud picture and a grid picture.
4. The method for automatically generating the report based on the ship numerical virtual test as claimed in claim 3, wherein: the specific steps for integrating and processing the effective data are as follows:
when single data type integration and processing are carried out, single data are inserted into the experiment report template, only the data needing to be used are extracted when the single data are encountered again, and a HashMap mapping relation is established with the mark corresponding to the template;
when the data of a single table is manufactured, the data of the single table is put into a matrix and is prepared for subsequent post-processing work;
when data of a single picture are made, the data of the single picture comprise a line graph and a scatter diagram, the line graph and the scatter diagram appear in a coordinate form in a group, and the data of the single picture are extracted according to the group and are sorted;
making cloud pictures, grid pictures and other complex data, and when the data meet different requirements of each experiment, selecting useful parts to be extracted and stored in a json file according to different requirements of each experiment to prepare for subsequent post-processing;
and when the data is mixed data, making a plurality of pictures or tables, grouping the mixed data according to the requirements of the test, and then sorting the grouped data to prepare for subsequent processing.
5. The method for automatically generating the report based on the ship numerical virtual test as claimed in claim 1, wherein: the step 3 specifically comprises the following steps:
step 3.1: processing the integrated data into a 3D cloud picture, a grid division picture, a bar graph and a line graph required in a report through PostProcess3D, Tecplot and a Java interface;
step 3.2: and finding data corresponding to the template marks in different xml configuration files corresponding to each test, and establishing a HashMap mapping relation.
6. The method for automatically generating the report based on the ship numerical virtual test as claimed in claim 5, wherein: the establishing of the HashMap mapping relation specifically comprises the following steps:
when a single chart is processed, the single chart comprises a line chart and a scatter chart, pictures are made through a Java interface and stored, and a HashMap mapping relation is established between the pictures and corresponding template marks;
when a single picture is processed, establishing PostProcess3D and Tecplot scripts for the integrated data, generating and storing the picture, and establishing a HashMap mapping relation between the picture and a template mark;
when a plurality of pictures are processed, all the pictures are made and stored, all the pictures are stored in a set, and then the set and the template marks are used for establishing a HashMap mapping relation.
7. The method for automatically generating the report based on the ship numerical virtual test as claimed in claim 1, wherein: the step 4 specifically comprises the following steps:
step 4.1: replacing the special mark in the analyzed json file, wherein the special mark is the mark inserted in the test report in the frame design,
when single data or pictures are replaced, the marks are replaced by the data or pictures which form a mapping relation with the marks during data processing at the marks of the template;
when the table is replaced, a background table inserting function is called, a corresponding table is inserted at a special mark position marked as an inserted table, and the format of the table is regular or irregular;
step 4.2: when a plurality of pictures are inserted into a mark, the pictures are sequentially inserted in front of the mark according to the sequence of a set of pictures generated in a post-processing stage, a function is called between the two pictures, a legend of the pictures is inserted, and the mark is deleted after the completion;
and updating the catalog to complete the generation of the test report, and when the table is marked as ￥ 1 along with the corresponding template, replacing the mark ￥ 1 in the template with the manufactured table to complete data replacement.
8. The method for automatically generating the report based on the ship numerical virtual test as claimed in claim 7, wherein:
the insertion marking process specifically comprises the following steps: when single data or pictures are replaced, the marks are replaced by the data or pictures which form a mapping relation with the marks during data processing at the marks of the template;
when replacing the table, calling a background table inserting function, and inserting the corresponding table at the position of the special mark marked as the inserted table, wherein the format of the table is regular or irregular.
9. The method for automatically generating the report based on the ship numerical virtual test as claimed in claim 1, wherein: the step 5 specifically comprises the following steps:
and integrating the designed frame and a front-end webpage, packaging the completed data into jar files by adopting a maven project model, integrating the jar files into a server, providing an interface for the whole project, forming a unified whole by the test and a test generation report frame, and completing the generation of a test report.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911142359.1A CN110991156B (en) | 2019-11-20 | 2019-11-20 | Automatic report generation method based on ship numerical virtual test |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911142359.1A CN110991156B (en) | 2019-11-20 | 2019-11-20 | Automatic report generation method based on ship numerical virtual test |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110991156A true CN110991156A (en) | 2020-04-10 |
| CN110991156B CN110991156B (en) | 2023-05-23 |
Family
ID=70085407
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911142359.1A Active CN110991156B (en) | 2019-11-20 | 2019-11-20 | Automatic report generation method based on ship numerical virtual test |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110991156B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111737953A (en) * | 2020-06-04 | 2020-10-02 | 国网天津市电力公司电力科学研究院 | Report document automation method easy for secondary development |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7289964B1 (en) * | 1999-08-31 | 2007-10-30 | Accenture Llp | System and method for transaction services patterns in a netcentric environment |
| US20110088011A1 (en) * | 2009-10-14 | 2011-04-14 | Vermeg Sarl | Automated Enterprise Software Development |
| CN108460538A (en) * | 2018-03-23 | 2018-08-28 | 国家深海基地管理中心 | A kind of operation of manned underwater vehicle with ensure Information Management System |
| CN109857670A (en) * | 2019-02-15 | 2019-06-07 | 太仓市同维电子有限公司 | A kind of test report automatic generation method based on common template |
-
2019
- 2019-11-20 CN CN201911142359.1A patent/CN110991156B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7289964B1 (en) * | 1999-08-31 | 2007-10-30 | Accenture Llp | System and method for transaction services patterns in a netcentric environment |
| US20110088011A1 (en) * | 2009-10-14 | 2011-04-14 | Vermeg Sarl | Automated Enterprise Software Development |
| CN108460538A (en) * | 2018-03-23 | 2018-08-28 | 国家深海基地管理中心 | A kind of operation of manned underwater vehicle with ensure Information Management System |
| CN109857670A (en) * | 2019-02-15 | 2019-06-07 | 太仓市同维电子有限公司 | A kind of test report automatic generation method based on common template |
Non-Patent Citations (1)
| Title |
|---|
| 李辉;吴立言;刘更;王鹏云;: "基于版本控制技术的机械仿真数据管理" * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111737953A (en) * | 2020-06-04 | 2020-10-02 | 国网天津市电力公司电力科学研究院 | Report document automation method easy for secondary development |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110991156B (en) | 2023-05-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105528418B (en) | A kind of design documentation generation method and device | |
| CN106469140A (en) | A kind of report generating system and its method | |
| CN101877015A (en) | Three-dimensional labeling method for part processing | |
| US7926024B2 (en) | Method and apparatus for managing complex processes | |
| CN106372044A (en) | Method for generating typed dimension XBRL (Extensible Business Reporting Language) report based on report form | |
| CN111813661A (en) | Global service data drive automatic test method, device, equipment and medium | |
| CN113961584A (en) | Method and device for analyzing field blood relationship, electronic equipment and storage medium | |
| CN115408399A (en) | Blood relationship analysis method, device, equipment and storage medium based on SQL script | |
| CN112732567A (en) | Mock data testing method and device based on ip, electronic equipment and storage medium | |
| CN112860839A (en) | Water environment quality real-time monitoring method and device based on Unity3D | |
| Muslim et al. | A modular and extensible framework for open learning analytics | |
| CN110991156A (en) | Automatic report generation method based on ship numerical value virtual test | |
| CN114880238A (en) | Mobile terminal interface testing method, device, equipment and storage medium | |
| CN107766519B (en) | Method for visually configuring data structure | |
| CN102722621A (en) | Method for visualizing computed result of finite element method | |
| CN104346393B (en) | The modeling method of atomic scale data element model | |
| KR101772831B1 (en) | Method and apparatus of building intermediate character library | |
| CN114118026B (en) | Automatic document generation method and device, computer storage medium and electronic equipment | |
| CN102141954A (en) | Relational modeling for performance analysis of multi-core processors | |
| CN114398282A (en) | Test script generation method, device, equipment and storage medium | |
| CN111553133B (en) | Report generation method and device, electronic equipment and storage medium | |
| CN102004666A (en) | Large-scale computer operation scheduling equipment and system | |
| US20130086491A1 (en) | Automatically generating a business process flow gui using a symbolic annotation language | |
| Wang et al. | Quantitative analysis of requirements evolution across multiple versions of an industrial software product | |
| CN116956838A (en) | Project determining method and device for engineering quantity list |
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 |