CN109800330B - Data processing method and device - Google Patents
Data processing method and device Download PDFInfo
- Publication number
- CN109800330B CN109800330B CN201910096645.2A CN201910096645A CN109800330B CN 109800330 B CN109800330 B CN 109800330B CN 201910096645 A CN201910096645 A CN 201910096645A CN 109800330 B CN109800330 B CN 109800330B
- Authority
- CN
- China
- Prior art keywords
- keyword
- data
- target
- processed
- candidate
- 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
- 238000003672 processing method Methods 0.000 title claims abstract description 20
- 238000004458 analytical method Methods 0.000 claims abstract description 57
- 238000000034 method Methods 0.000 claims abstract description 22
- 238000012545 processing Methods 0.000 claims description 14
- 230000010354 integration Effects 0.000 description 8
- 238000010586 diagram Methods 0.000 description 4
- 238000004891 communication Methods 0.000 description 3
- 238000001514 detection method Methods 0.000 description 3
- 230000008676 import Effects 0.000 description 2
- 239000013589 supplement Substances 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000000047 product Substances 0.000 description 1
Images
Landscapes
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention provides a data processing method and a device, wherein the method comprises the following steps: the method comprises the steps of obtaining data to be processed, determining a target keyword for analyzing the data to be processed, analyzing the data to be processed based on the target keyword, and obtaining an analysis result. By the method and the device, after the data to be processed is obtained, the target keyword for analyzing the data to be processed is determined, namely, the target keyword is used for analyzing different Arxml files, so that the problem that different Arxml files cannot be analyzed by using the same keyword is solved.
Description
Technical Field
The present invention relates to the field of communications, and in particular, to a data processing method and apparatus.
Background
With the popularization of automotive Open system architecture AUTOSAR (automotive Open Systems architecture), more and more automobile factories and suppliers start software development based on the AUTOSAR architecture. In the process of using AUTOSAR, the base software BSW (basic software) and the mcu (microcontrollerunit) hardware drive MCAL (microcontroller Abstraction layer) are purchased from a third party, and the BSW and MCAL from different software providers need to be integrated with a configuration tool, where the integration means that the BSW and MCAL can perform data communication normally.
In the integration process of the configuration tool of the BSW and the configuration tool of the MCAL, the BSW needs to correctly parse Arxml (autosar xml) files generated by the MCAL, but when parsing different Arxml files, the same keyword is used as a parsing keyword, but keywords of different Arxml files are different, so that different Arxml files cannot be parsed by using the same keyword.
Disclosure of Invention
In view of this, the present invention provides a data processing method and apparatus, so as to solve the problem that different Arxml files cannot be analyzed by using the same keyword due to different keywords of the different Arxml files.
In order to solve the technical problems, the invention adopts the following technical scheme:
a method of data processing, comprising:
acquiring data to be processed;
determining a target keyword for analyzing the data to be processed;
and analyzing the data to be processed based on the target keywords to obtain an analysis result.
Preferably, determining a target keyword for performing a parsing operation on the to-be-processed data includes:
acquiring a keyword set; the set of keywords comprises at least one keyword;
acquiring candidate keywords at a preset position in the data to be processed;
judging whether the keyword set comprises the candidate keywords or not;
if yes, taking the candidate keyword as the target keyword;
if not, acquiring at least one alternative keyword positioned in a plurality of different alternative positions in the data to be processed;
and if each candidate keyword is the same as the candidate keyword, taking the candidate keyword as the target keyword.
Preferably, determining a target keyword for performing a parsing operation on the to-be-processed data includes:
acquiring keywords input by a user;
and taking the keywords input by the user as the target keywords.
Preferably, analyzing the data to be processed based on the target keyword to obtain an analysis result, including:
acquiring a target analysis field;
and determining the analysis result corresponding to the target analysis field from the data to be processed based on the target analysis field and the target keyword.
Preferably, after analyzing the data to be processed based on the target keyword to obtain an analysis result, the method further includes:
acquiring a preset display rule;
and displaying the analysis result according to the preset display rule.
Preferably, the method further comprises the following steps:
and acquiring control data input by a user on a preset data input interface so as to perform equipment control operation based on the control data.
A data processing apparatus comprising:
the data acquisition module is used for acquiring data to be processed;
the data determining module is used for determining a target keyword for analyzing the data to be processed;
and the analysis module is used for analyzing the data to be processed based on the target keywords to obtain an analysis result.
Preferably, the data determination module comprises:
the keyword acquisition submodule is used for acquiring a keyword set; the set of keywords comprises at least one keyword;
the first obtaining submodule is used for obtaining candidate keywords at a preset position in the data to be processed;
a judging submodule, configured to judge whether the keyword set includes the candidate keyword;
a first determining sub-module, configured to, if the determining unit determines that the keyword set includes the candidate keyword, use the candidate keyword as the target keyword;
a second obtaining sub-module, configured to obtain at least one candidate keyword located at multiple different candidate positions in the data to be processed if the determining unit determines that the keyword set does not include the candidate keyword;
and the second determining submodule is used for taking the candidate keyword as the target keyword if each candidate keyword is the same as the candidate keyword.
Preferably, the data determination module comprises:
the third acquisition submodule is used for acquiring keywords input by a user;
and the third determining submodule is used for taking the keywords input by the user as the target keywords.
Preferably, the parsing module is configured to parse the data to be processed based on the target keyword, and when a parsing result is obtained, is specifically configured to:
and acquiring a target analysis field, and determining the analysis result corresponding to the target analysis field from the data to be processed based on the target analysis field and the target keyword.
Compared with the prior art, the invention has the following beneficial effects:
the invention provides a data processing method and a data processing device, which can determine a target keyword for analyzing the data to be processed after the data to be processed is obtained, namely, different Arxml files are analyzed by using the corresponding target keyword, so that the problem that different Arxml files cannot be analyzed by using the same keyword is solved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a flowchart of a data processing method according to an embodiment of the present invention;
FIG. 2 is a flow chart of another data processing method according to an embodiment of the present invention;
fig. 3 is a scene diagram of an analysis result according to an embodiment of the present invention;
fig. 4 is a schematic diagram illustrating an analysis result according to an embodiment of the present invention;
fig. 5 is a schematic view of a scenario of determining a target keyword according to an embodiment of the present invention;
FIG. 6 is a flowchart of a method of another data processing method according to an embodiment of the present invention;
fig. 7 is a schematic view of an input scenario of custom control data according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, 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 invention.
The embodiment of the invention provides a data processing method, mainly relating to the development and integration of automotive electronic embedded software based on an automotive open system architecture Classic platform AUTOSAR Classic platform, in particular to the integration between middle-layer software, upper-layer software and hardware drive.
The data processing method provided by the embodiment of the invention is applied to the basic software BSW, and referring to FIG. 1, the data processing method can comprise the following steps:
s11, acquiring data to be processed;
the data to be processed is an Arxml file generated by MCAL driven by MCU hardware.
S12, determining a target keyword for analyzing the data to be processed;
and the target keywords are stored in the data to be processed, and the data to be processed is analyzed according to the target keywords. The target keyword is typically a company name or a product name.
And S13, analyzing the data to be processed based on the target keywords to obtain an analysis result.
Wherein, the analysis process is the process of obtaining the data required by the BSW.
Taking MCAL as a Can driver module and BSW as a CanIf module as an example, data required by the CanIf module may include:
1. a Can channel list and a channel index number;
2. a Can HOH (Hardware Object Handle) list and index number;
3. direction (transmit, receive) of each HOH;
4. the identifier canId of the Can message contained in each HOH and the filtering value thereof.
Optionally, on the basis of this embodiment, referring to fig. 2, step S13 may include:
s21, acquiring a target analysis field;
the target resolution field may be data required by the above-mentioned carif module.
S22, determining the analysis result corresponding to the target analysis field from the data to be processed based on the target analysis field and the target keyword.
Specifically, for a target analysis field, data corresponding to a field that includes both a target keyword and the target analysis field may be directly searched from the data to be processed, so as to obtain an analysis result, and a schematic diagram of the analysis result may refer to fig. 3.
Fig. 3 shows the analysis result corresponding to each target analysis field by taking the HOH attribute as an example, for example, the field contents corresponding to the channel HOH numbers are 0 and 1, and the field contents corresponding to the physical HOH numbers are 0 and 1. Where a row in fig. 3 represents a set of HOH attributes.
Optionally, on the basis of this embodiment, after the analysis result is obtained, the analysis result may also be displayed.
Specifically, after step S13, the method may further include:
and acquiring a preset display rule, and displaying the analysis result according to the preset display rule.
Referring to fig. 4, fig. 4 shows the CAN channels in a list form, and the selectable lists of the CAN channels include five types, that is, CAN _ canttrl _0, CAN _ canttrl _1, CAN _ canttrl _2, CAN _ canttrl _3, CAN _ canttrl _4, and CAN _ canttrl _ 5. The user can select one of the five selectable lists for use.
In addition, the data can be displayed in forms of tables, graphs and the like, and the preset display rule is not required, so long as the data is conveniently checked by a user.
In this embodiment, after the data to be processed is obtained, the target keyword for performing the parsing operation on the data to be processed is determined, that is, for different Arxml files, the corresponding target keyword is used for parsing, so that the problem that different Arxml files cannot be parsed by using the same keyword is solved.
In addition, the necessary information can be integrated by adopting more friendly and concise display, and the user operation is simpler and more convenient.
Alternatively, on the basis of any of the above embodiments, there may be two implementation manners of step S12, which are now described separately.
1. The first implementation mode comprises the following steps:
step S12 may include:
1) acquiring a keyword set;
the keyword set is keywords collected by a user in the using process, and the keyword set comprises at least one keyword.
2) And determining a target keyword of the data to be processed based on the keywords in the keyword set.
Specifically, referring to fig. 5, an "automatic detection keyword" option on the tool is selected, a "add file" is clicked, an Arxml file is selected and imported, that is, the data to be processed is imported, the target keyword is obtained through automatic analysis, and the automatically detected target keyword is displayed on the interface, where the target keyword obtained through detection in this embodiment is EAS.
Optionally, on the basis of this embodiment, referring to fig. 6, "determining the target keyword of the to-be-processed data based on the keyword in the keyword set" may include:
s31, acquiring candidate keywords located at a preset position in the data to be processed;
specifically, a plurality of preset positions are set in the data to be processed, for example, the position of the fifth character string in the third row in the data to be processed, and at this time, the candidate keyword at the preset position is first obtained.
S32, judging whether the keyword set comprises the candidate keywords or not; if yes, go to step S33; if not, step S34 is executed.
Specifically, the keywords in the keyword set are used before, and then if the candidate keyword exists in the keyword set, the candidate keyword is determined to be the target keyword. If the candidate keyword does not exist in the keyword set, the target keyword is determined by the method in step S34.
S33, taking the candidate keywords as the target keywords;
s34, acquiring at least one alternative keyword located in a plurality of different alternative positions in the data to be processed;
and S35, if each candidate keyword is the same as the candidate keyword, taking the candidate keyword as the target keyword.
Specifically, in this step, a plurality of keywords in the data to be processed are all acquired. And if the keywords are the same, indicating that the determined keywords are accurate, taking the candidate keywords as the target keywords, and storing the candidate keywords in a keyword set.
If the plurality of keywords are different, it is not possible to determine which keyword is the correct keyword, and error reporting processing is performed at this time.
2. The second implementation mode comprises the following steps:
step S12 may include:
and acquiring keywords input by a user, and taking the keywords input by the user as the target keywords.
Referring to fig. 5, if the user knows the target keyword of the Arxml file in advance, the user may manually fill in the keyword without checking the "automatic detection keyword" option, and then import the Arxml file, at which time the tool will perform analysis of the Arxml file according to the target keyword filled in by the user.
In this embodiment, analyzing the keywords from the data to be analyzed is a supplement to the automotive open system xml standardization, and may be better compatible with the Arxml files of different manufacturers.
Optionally, on the basis of any of the above embodiments, the method further includes:
and acquiring control data input by a user on a preset data input interface so as to perform equipment control operation based on the control data.
Specifically, in some simple application scenarios, integration can be completed only by acquiring a very small amount of MCAL information, and at this time, the operation of importing the Arxml file may be cumbersome. Or for other special reasons (e.g., cost) that do not result in standard MCAL Arxml file entry.
For the above scenario, the present embodiment provides a way to customize MCAL parameter information. Referring to fig. 7, the specific steps are as follows:
all parameters that need to be integrated with MCAL are provided with other functional buttons, such as the "…" button in fig. 7, and after clicking this button, "custom" is selected in a pop-up dialog, and the user can then enter the custom parameter values that meet the integration requirements, and the tool will then proceed according to the user-defined parameter values.
Fig. 7 illustrates an example of the CanIf module customizing the Can clock parameter. In this example, the user does not import an Arxml file with Can clock information, but Can still customize the Can clock parameter to 8000khz in the CanIf module. Subsequent work of the tool, such as calculating the communication rate, will be performed at 8000 khz.
The method and the device are suitable for simpler application scenes, the user can directly self-define the required parameter information without importing the Arxml file, and the integration steps and the flow are simplified.
Optionally, on the basis of the embodiment of the data processing method, another embodiment of the present invention provides a data processing apparatus, and with reference to fig. 8, the data processing apparatus may include:
a data acquisition module 101, configured to acquire data to be processed;
a data determining module 102, configured to determine a target keyword for performing an analysis operation on the to-be-processed data;
and the analysis module 103 is configured to analyze the data to be processed based on the target keyword to obtain an analysis result.
Further, the parsing module 103 is configured to parse the to-be-processed data based on the target keyword, and when a parsing result is obtained, specifically configured to:
and acquiring a target analysis field, and determining the analysis result corresponding to the target analysis field from the data to be processed based on the target analysis field and the target keyword.
Further, still include:
the rule obtaining module is used for analyzing the data to be processed by the analyzing module 103 based on the target keyword to obtain an analysis result and then obtaining a preset display rule;
and the result display module is used for displaying the analysis result according to the preset display rule.
In this embodiment, after the data to be processed is obtained, the target keyword for performing the parsing operation on the data to be processed is determined, that is, for different Arxml files, the corresponding target keyword is used for parsing, so that the problem that different Arxml files cannot be parsed by using the same keyword is solved.
In addition, the necessary information is integrated by adopting more friendly and concise display, so that the user operation is simpler and more convenient.
It should be noted that, for the working processes of each module and sub-module in this embodiment, please refer to the corresponding description in the above embodiments, which is not described herein again.
Optionally, on the basis of any one of the above embodiments of the data processing apparatus, the data determining module includes:
the keyword acquisition submodule is used for acquiring a keyword set; the set of keywords comprises at least one keyword;
the first obtaining submodule is used for obtaining candidate keywords at a preset position in the data to be processed;
a judging submodule, configured to judge whether the keyword set includes the candidate keyword;
a first determining sub-module, configured to, if the determining unit determines that the keyword set includes the candidate keyword, use the candidate keyword as the target keyword;
a second obtaining sub-module, configured to obtain at least one candidate keyword located at multiple different candidate positions in the data to be processed if the determining unit determines that the keyword set does not include the candidate keyword;
and the second determining submodule is used for taking the candidate keyword as the target keyword if each candidate keyword is the same as the candidate keyword.
Further, the data determination module may further include:
the third acquisition submodule is used for acquiring keywords input by a user;
and the third determining submodule is used for taking the keywords input by the user as the target keywords.
In this embodiment, analyzing the keywords from the data to be analyzed is a supplement to the automotive open system xml standardization, and may be better compatible with the Arxml files of different manufacturers.
It should be noted that, for the working processes of each module, sub-module, and unit in this embodiment, please refer to the corresponding description in the above embodiments, which is not described herein again.
Optionally, on the basis of any one of the above embodiments of the data processing apparatus, the method further includes:
and the data processing module is used for acquiring control data input by a user on a preset data input interface so as to perform equipment control operation based on the control data.
The method and the device are suitable for simpler application scenes, the user can directly self-define the required parameter information without importing the Arxml file, and the integration steps and the flow are simplified.
It should be noted that, for the working process of each module in this embodiment, please refer to the corresponding description in the above embodiments, which is not described herein again.
Optionally, on the basis of the embodiments of the data processing method and apparatus, another embodiment of the present invention provides an electronic device, which may include: a memory and a processor;
wherein the memory is used for storing programs;
the processor calls a program and is used to:
acquiring data to be processed;
determining a target keyword for analyzing the data to be processed;
and analyzing the data to be processed based on the target keywords to obtain an analysis result.
In this embodiment, after the data to be processed is obtained, the target keyword for performing the parsing operation on the data to be processed is determined, that is, for different Arxml files, the corresponding target keyword is used for parsing, so that the problem that different Arxml files cannot be parsed by using the same keyword is solved.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A data processing method is applied to basic software BSW, and comprises the following steps:
acquiring data to be processed; the data to be processed is an Arxml file generated by MCAL (micro control Unit) driven by MCU hardware;
determining a target keyword for analyzing the data to be processed based on the keyword in the data to be processed or the keyword input by a user;
and analyzing the data to be processed based on the target keywords to obtain an analysis result.
2. The data processing method of claim 1, wherein determining a target keyword for performing a parsing operation on the data to be processed based on the keyword in the data to be processed comprises:
acquiring a keyword set; the set of keywords comprises at least one keyword;
acquiring candidate keywords at a preset position in the data to be processed;
judging whether the keyword set comprises the candidate keywords or not;
if yes, taking the candidate keyword as the target keyword;
if not, acquiring at least one alternative keyword positioned in a plurality of different alternative positions in the data to be processed;
and if each candidate keyword is the same as the candidate keyword, taking the candidate keyword as the target keyword.
3. The data processing method of claim 1, wherein determining a target keyword for performing a parsing operation on the data to be processed based on a keyword input by a user comprises:
acquiring keywords input by a user;
and taking the keywords input by the user as the target keywords.
4. The data processing method according to claim 1, wherein analyzing the data to be processed based on the target keyword to obtain an analysis result comprises:
acquiring a target analysis field;
and determining the analysis result corresponding to the target analysis field from the data to be processed based on the target analysis field and the target keyword.
5. The data processing method according to claim 1, wherein after parsing the data to be processed based on the target keyword to obtain a parsing result, the method further comprises:
acquiring a preset display rule;
and displaying the analysis result according to the preset display rule.
6. The data processing method of claim 1, further comprising:
and acquiring control data input by a user on a preset data input interface so as to perform equipment control operation based on the control data.
7. A data processing apparatus, applied to base software BSW, comprising:
the data acquisition module is used for acquiring data to be processed; the data to be processed is an Arxml file generated by MCAL (micro control Unit) driven by MCU hardware;
the data determining module is used for determining a target keyword for analyzing the data to be processed based on the keyword in the data to be processed or the keyword input by a user;
and the analysis module is used for analyzing the data to be processed based on the target keywords to obtain an analysis result.
8. The data processing apparatus of claim 7, wherein the data determination module comprises:
the keyword acquisition submodule is used for acquiring a keyword set; the set of keywords comprises at least one keyword;
the first obtaining submodule is used for obtaining candidate keywords at a preset position in the data to be processed;
a judging submodule, configured to judge whether the keyword set includes the candidate keyword;
a first determining submodule, configured to, if the determining submodule determines that the keyword set includes the candidate keyword, use the candidate keyword as the target keyword;
a second obtaining sub-module, configured to obtain at least one candidate keyword located at multiple different candidate positions in the data to be processed, if the determining sub-module determines that the keyword set does not include the candidate keyword;
and the second determining submodule is used for taking the candidate keyword as the target keyword if each candidate keyword is the same as the candidate keyword.
9. The data processing apparatus of claim 7, wherein the data determination module comprises:
the third acquisition submodule is used for acquiring keywords input by a user;
and the third determining submodule is used for taking the keywords input by the user as the target keywords.
10. The data processing apparatus according to claim 7, wherein the parsing module is configured to parse the to-be-processed data based on the target keyword, and when obtaining a parsing result, is specifically configured to:
and acquiring a target analysis field, and determining the analysis result corresponding to the target analysis field from the data to be processed based on the target analysis field and the target keyword.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910096645.2A CN109800330B (en) | 2019-01-31 | 2019-01-31 | Data processing method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910096645.2A CN109800330B (en) | 2019-01-31 | 2019-01-31 | Data processing method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109800330A CN109800330A (en) | 2019-05-24 |
| CN109800330B true CN109800330B (en) | 2021-03-23 |
Family
ID=66560739
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910096645.2A Active CN109800330B (en) | 2019-01-31 | 2019-01-31 | Data processing method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109800330B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112653607B (en) * | 2020-12-26 | 2022-09-23 | 潍柴动力股份有限公司 | Message transmission method and device, electronic equipment and computer storage medium |
| CN114826762B (en) * | 2022-05-16 | 2023-10-13 | 北京天融信网络安全技术有限公司 | Message anomaly detection method and device, electronic equipment and storage medium |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102819426A (en) * | 2012-02-29 | 2012-12-12 | 浙江大学 | Method for synchronizing AUTOSAR (automotive open system architecture) model to Simulink model |
| CN105512097A (en) * | 2015-11-26 | 2016-04-20 | 普华基础软件股份有限公司 | File analyzing method |
| CN108009092A (en) * | 2017-12-04 | 2018-05-08 | 武汉保华显示科技有限公司 | A kind of design method of In-vehicle networking management universal test use-case agreement |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102063298A (en) * | 2010-12-10 | 2011-05-18 | 电子科技大学 | Automobile electronic controller-oriented runtime environment generation system and method |
| US10031740B2 (en) * | 2016-10-24 | 2018-07-24 | Lear Corporation | Method for programming vehicle electronic control modules |
| CN108009171B (en) * | 2016-10-27 | 2020-06-30 | 腾讯科技（北京）有限公司 | Method and device for extracting content data |
| CN109119079B (en) * | 2018-07-25 | 2022-04-01 | 天津字节跳动科技有限公司 | Voice input processing method and device |
-
2019
- 2019-01-31 CN CN201910096645.2A patent/CN109800330B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102819426A (en) * | 2012-02-29 | 2012-12-12 | 浙江大学 | Method for synchronizing AUTOSAR (automotive open system architecture) model to Simulink model |
| CN105512097A (en) * | 2015-11-26 | 2016-04-20 | 普华基础软件股份有限公司 | File analyzing method |
| CN108009092A (en) * | 2017-12-04 | 2018-05-08 | 武汉保华显示科技有限公司 | A kind of design method of In-vehicle networking management universal test use-case agreement |
Non-Patent Citations (2)
| Title |
|---|
| "AUTOSAR ARXML - 引用的定义与配置";迷之老于;《https://blog.csdn.net/daweihuahuo/article/details/78366430》;20171027;第1-3页 * |
| "基于AUTOSAR规范的AMT系统软件开发";王建俊;《山东大学硕士论文》;20141015;第11-21页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109800330A (en) | 2019-05-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111026645B (en) | User interface automatic test method and device, storage medium and electronic equipment | |
| CN111221733B (en) | Information processing method, device, mobile terminal and storage medium | |
| CN109800330B (en) | Data processing method and device | |
| CN111274131A (en) | Interface testing method and device, electronic equipment and storage medium | |
| CN110866205B (en) | Method and apparatus for storing information | |
| CN112948224A (en) | Data processing method, device, terminal and storage medium | |
| CN113157256A (en) | Interface code generation method and device, electronic equipment, storage medium and product | |
| CN111209195B (en) | Method and device for generating test case | |
| CN114510305B (en) | Model training method and device, storage medium and electronic equipment | |
| CN108023905B (en) | Internet of things application system and method | |
| CN113794602B (en) | Equipment testing method and device, terminal equipment and storage medium | |
| CN112416751A (en) | Processing method and device for interface automation test and storage medium | |
| CN110162361B (en) | Intelligent prompting method and device based on user behavior, terminal and storage medium | |
| CN112214532A (en) | Service data auditing method and related device | |
| CN111131002A (en) | Method, system and storage medium for tracing chat records | |
| CN111078562A (en) | Interface test method, terminal device and computer readable storage medium | |
| CN110928854A (en) | Data import method and device and electronic equipment | |
| CN113626321B (en) | Bridging test method, device, system and storage medium | |
| CN115511592A (en) | Tax value information calculation method, apparatus, device and storage medium | |
| CN114896165A (en) | Testing method and device of conversation robot system, electronic equipment and storage medium | |
| CN115269285A (en) | Test method and device, equipment and computer readable storage medium | |
| CN115098116A (en) | Simulation operation method and device of application program, terminal and storage medium | |
| CN111026644B (en) | Operation result labeling method and device, storage medium and electronic equipment | |
| CN113347062A (en) | SIP performance test method, device, equipment and storage medium | |
| CN110674386B (en) | Resource recommendation method, device 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 | ||
| CB02 | Change of applicant information | ||
| CB02 | Change of applicant information |
Address after: 4 / F, building 1, No.14 Jiuxianqiao Road, Chaoyang District, Beijing 100020 Applicant after: Beijing Jingwei Hirain Technologies Co.,Inc. Address before: 8 / F, block B, No. 11, Anxiang Beili, Chaoyang District, Beijing 100101 Applicant before: Beijing Jingwei HiRain Technologies Co.,Ltd. |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |