WO2016082474A1

WO2016082474A1 - Human-machine command script updating method and apparatus, and computer storage medium

Info

Publication number: WO2016082474A1
Application number: PCT/CN2015/078701
Authority: WO
Inventors: 吕俊廷; 谭晓松; 刘晖
Original assignee: 中兴通讯股份有限公司
Priority date: 2014-11-25
Filing date: 2015-05-11
Publication date: 2016-06-02
Also published as: CN105700899A

Abstract

A human-machine command script updating method and apparatus, and a computer storage medium. The method comprises: obtaining a first data dictionary via a first human-machine language command (S101); comparing the first data dictionary to a second data dictionary corresponding to a second human-machine language command to obtain a differentiated human-machine language command set; obtaining a man-machine language command updating rule according to the differentiated human-machine language command set (S102); and updating a human-machine command script based on the second human-machine language command according to the human-machine language command updating rule (S103).

Description

Man-machine command script updating method, device and computer storage medium

Technical field

The present invention relates to the field of human-machine command script technology, and in particular, to a human-machine command script update method and apparatus, and a computer storage medium.

Background technique

Human-machine dialogue is realized between human and smart devices through Man-Machine Language (MML) commands. At the same time, MML commands are also an important basis for constructing network resources.

When the network resource or the system of the smart device needs to be updated, the MML command will be updated accordingly. Considering the stability and other factors after the update, the network resource or the system's human-machine command script needs to be tested before the MML command is completely updated. Due to the huge number of MML commands included in the human-machine command script, the update process of the human-machine command script is time-consuming and complicated.

At present, the method of testing human-machine command scripts by means of batch MML command automation scripts is common. Although the batch MML command automation script speeds up the updating and maintenance of human-machine command scripts, the version of network resources often changes. Moreover, the number of MML commands included in the man-machine command script is too large, and the maintenance of the man-machine command script still poses a great challenge to the way of batching MML command automation scripts.

A common problem at this stage is that when the measured network resource or the service of the system changes, the process of modifying or updating the test script of the MML command is too complicated due to the huge number of MML commands corresponding to the network resource or the system, resulting in updating in a short time. Test scripts for a large number of MML commands become unfinished tasks. To ensure that the test script of the last human-machine command is modified in time and accurately when the network resource or system of the tested network changes, the existing method is mainly to improve the structure of the automated test script. Solve the maintenance problem of MML command automation test script. The existing large automated test framework is produced to solve such problems. Born, its development has gone through the following stages:

1. Unstructured automated testing framework: Data and MML command scripts are combined. A script is a test case. This type of script is faster to develop, but the maintenance cost is high, and any changes in the tested network resources or systems are made. All need to be solved through maintenance scripts.

2. Data-driven automated test framework: read input data from data files, pass the parameterization of variables, and pass test data to test scripts. Different data files correspond to different test cases. In this mode, the data and the script are separated, the utilization and maintainability of the script are greatly improved, and the coverage of the data is also high, but it is still greatly affected by the interface change.

3. Keyword-driven automated testing framework: Keyword-driven testing is an improved type of data-driven testing that decomposes test logic by keywords to form data files, and the keywords correspond to the packaged business logic. The main keywords include three categories: manipulated objects, operations, and values. The main idea of keyword-driven is: separation of script and data, separation of interface element names from test internal object names, separation of test descriptions and specific implementation details. The data-driven automated test framework has obvious advantages in terms of interface impact, data drive and recording/playback, and can update the corresponding keyword objects according to changes in the interface without re-recording the script.

The above method is to increase the maintainability of the human-machine command script by improving the structure of the human-machine command script. The structured script has the following problems:

First, the complexity of human-machine command script development has greatly increased. Specifically, due to data separation and keyword encapsulation, this increases the technical difficulty of human-machine command script development and prolongs the man-machine command script development cycle.

Second, there is a large man-machine command script to maintain the workload, and it takes a lot of time to modify the keyword after the MML command is changed.

Summary of the invention

In view of this, embodiments of the present invention are directed to providing a human machine command script update method, apparatus, and computer storage medium.

The technical solution of the embodiment of the present invention is implemented as follows:

The embodiment of the invention provides a method for updating a human-machine command script, the method comprising:

Obtaining a first data dictionary by a first human language command;

Comparing the first data dictionary with the second data dictionary corresponding to the second human language command to obtain a differential human language command set; and obtaining a human language command update rule according to the differential human language command set;

The man-machine command script based on the second human language command is updated according to the human language command update rule.

In the above solution, the obtaining the first data dictionary by using the first human language command comprises:

Scanning a system under test containing a human machine command script having a first human language command to obtain a first human language command;

The first human language command is sorted according to the set attribute to obtain a first data dictionary.

In the above solution, the comparing the first data dictionary with the second data dictionary corresponding to the second human language command to obtain the difference human language command set includes:

Forming, by the first set of human-machine language commands in the first data dictionary, a first set of different human-machine language commands; the first setting human-machine language command cannot be in the second data according to the set attribute Find the exact same human-machine language command in the dictionary;

Forming, by the second set of human-machine language commands in the second data dictionary, a second set of different human-machine language commands; the second setting human-machine language command cannot be in the first data according to the set attribute Find the exact same human-machine language command in the dictionary;

The first distinct human language command set and the second differential human language command set are combined to form a differential human language command set.

In the above solution, the obtaining the human language command update rule according to the differential human language command set includes:

Determining, in the set of the difference human-machine language command set, according to the priority of the set attribute An update sequence of the second human language command that distinguishes the human language command set;

Determining an update direction of a human machine language command in the second differential human language command set according to the keyword of the setting attribute corresponding to the update order;

Updating the human language command belonging to the second differential human language command set to the corresponding human language command belonging to the first differential human language command set according to the update direction, and obtaining the second difference Human-machine language command update rule for human-machine language commands of the human-machine language command set.

In the above solution, the obtaining the human language command update rule according to the differential human language command set further includes:

If the human language command belonging to the second differential human language command set cannot be updated to the corresponding human language command belonging to the first differential human language command set according to the update direction, The human language command that distinguishes the human language command set is saved to the first human language command.

The embodiment of the invention further provides a device for updating a human-machine command script, the device comprising:

a first data dictionary obtaining unit configured to obtain a first data dictionary by using a first human language command;

The human language command update rule obtaining unit is configured to compare the first data dictionary and the second data dictionary corresponding to the second human language command to obtain a difference human language command set; according to the difference human machine The language command set gets the human language command update rule;

The man machine command script update unit is configured to update the man machine command script based on the second human language command according to the man machine language command update rule.

In the above solution, the first data dictionary obtaining unit includes:

a human language command acquisition module configured to scan a tested system including a human machine command script having a first human language command to obtain a first human language command;

a first data dictionary obtaining module configured to command the first human language language according to a set attribute Sorting to get the first data dictionary.

In the above solution, the human language command update rule obtaining unit includes:

a first difference human-machine language command set obtaining module, configured to form a first set human-machine language command in the first data dictionary into a first differential human-machine language command set; the first setting human-machine language command According to the set attribute, the same human language command cannot be found in the second data dictionary;

a second difference human-machine language command set obtaining module, configured to form a second set human-machine language command in the second data dictionary into a second differential human-machine language command set; and the second setting human-machine language command According to the set attribute, the same human-machine language command cannot be found in the first data dictionary;

The difference human-machine language command set obtaining module is configured to form the first difference human-machine language command set and the second difference human-machine language command set into a difference human-machine language command set.

In the above solution, the human language command update rule acquiring unit further includes:

a human language command update rule module, configured to determine an update order of the human language command of the second differential human language command set in the differential human language command set according to the priority of the set attribute; Determining an update direction of the human language command in the second differential human language command set according to the keyword of the setting attribute corresponding to the update order; and belonging to the second differential human language command set The human language command is updated according to the update direction to a corresponding human language command belonging to the first differential human language command set, and the human machine language command belonging to the second differential human language command set is obtained. Language command update rules.

In the above solution, the human language command update rule module includes:

a human language command saver configured to be unable to update the corresponding human machine language belonging to the first differential human language command set according to the update direction according to the human language command belonging to the second differential human language command set The language command will belong to the second difference human language command set The combined human language command is saved to the first human language command.

The embodiment of the present invention further provides a computer storage medium, the computer storage medium comprising a set of instructions, when executed, causing at least one processor to execute the man-machine command script update method.

The human-machine command script updating method and apparatus and the computer storage medium provided by the embodiment of the present invention obtain a first data dictionary by using a first human-machine language command, and corresponding to the first data dictionary and the second human-machine language command. The two data dictionaries are compared to obtain a differential MML command set; the MML command update rule is obtained according to the differential MML command set; and the human machine command script of the second human machine language command is updated by the MML command update rule. The solution of the invention updates the man-machine command script from the perspective of the MML command, simplifies the update process of the man-machine command script, and realizes the rapid update of a large number of man-machine command scripts.

DRAWINGS

1 is a schematic flowchart of an implementation process of a human-machine command script update method according to Embodiment 1 of the present invention;

2 is a schematic structural diagram of a human-machine command script updating apparatus according to Embodiment 2 of the present invention;

FIG. 3 is a schematic structural diagram of a component of an MML command update rule acquiring unit according to Embodiment 2 of the present invention.

detailed description

The technical solutions of the present invention are further elaborated below in conjunction with the drawings and specific embodiments.

In various embodiments of the present invention, the first data dictionary is obtained by the first human language command; the first data dictionary is compared with the second data dictionary corresponding to the second human language command to obtain a different person. a set of machine language commands; obtaining a human machine language command update rule according to the differential human machine language command set; updating the man machine command script based on the second human machine language command according to the man machine language command update rule.

Example 1

In order to solve the technical problem that the update process of the human-machine command script is too complicated, the present embodiment is expected to provide a method for updating the human-machine command script. As shown in FIG. 1 , the method of the embodiment includes:

Step S101: Obtain a first data dictionary by using the updated MML command.

Here, the data dictionary refers to the definition and description of data items, data structures, data streams, data storage, processing logic, external entities, etc., the purpose of which is to explain in detail the various elements in the data flow chart. The first data dictionary of this embodiment is a statistic of an updated MML command (hereinafter referred to as a first human language command) capable of characterizing a first human language command.

Step S102: comparing the first data dictionary and the second data dictionary corresponding to the second human language command to obtain a difference MML command set; and obtaining an MML command update rule according to the differential MML command set;

Here, the second human language command also has a corresponding second data dictionary, and the second data dictionary characterizes the features of the second human language command. Comparing the first data dictionary with the second data dictionary can obtain a difference MML command set, and the difference MML command set can reflect the difference between the second human language command and the first human language command, and is also an object of the MML command update. Many MML commands in the difference MML command set are caused by changes in the name or parameter attributes of the network resource or the human-machine command script in the system, but there is a corresponding relationship in essence, that is, the MML command update rule. Therefore, obtaining these MML command update rules enables modification of the human machine command script written by the second human language command.

Step S103: Update the man-machine command script based on the second human language command according to the MML command update rule.

The MML command update rule is used to update the MML command of the man-machine command script before the update, so that the updated man-machine command script is updated to the updated man-machine command script to implement network resource or system revision or upgrade.

The method of the embodiment updates the man-machine command script from the perspective of the MML command, and is applicable to all human-machine command scripts based on the second human-machine language command; updating the man-machine command script by the MML command can simplify the updating of the man-machine command script. Process to achieve rapid updates to a large number of human-machine command scripts.

Specifically, step S101 includes:

In practice, the first human language command is included in the tested system that has been tested. In order to obtain the first human language command script, the tested system including the human machine command script having the first human language command is first scanned to obtain the first human language command; the MML command is usually in the different version of the human machine command script. All of the attributes are changed. Therefore, the first data dictionary can be obtained by counting the set attributes of the MML command, and the data dictionary is compared with the data dictionary corresponding to the second human language command to find the root. The difference between man-machine command scripts.

Comparing the first data dictionary with the second data dictionary corresponding to the second human language command in step S102, the difference MML command set is obtained by:

After the first data dictionary is obtained, the first data dictionary is compared with a second data dictionary corresponding to the second human language command. There are many identical MML commands in the first data dictionary and the second data dictionary. These MML commands have the same function in the pre-update human-machine command script and the updated human-machine command script, and may not be processed. . For those MML commands in the first data dictionary that do not correspond exactly to the MML commands in the second data dictionary, it is necessary to find out their correspondence in the second data dictionary according to some rules (ie, MML command update rules). MML commands to implement updates to MML commands. Specifically, the first set MML command in the first data dictionary is formed into a first differential MML command set; the first set MML command cannot be found in the second data dictionary according to the set attribute. An identical MML command; forming a second set MML command in the second data dictionary to form a second differentiated MML command set; the second set MML command cannot be in the first data according to the set attribute Find the exact same MML command in the dictionary; set the first difference MML command And the second difference MML command set constitutes a differential MML command set.

It should be noted that the setting attribute is usually the name or parameter of the MML command, but is not limited to the name and the parameter.

Obtaining an MML command update rule according to the differential MML command set in step S102 includes:

In order to ensure the accuracy of updating MML commands, several attributes that are frequently used in MML commands can be used as setting attributes. By comparing these updated attribute commands with the updated man-machine command script and the pre-update man-machine command script, MML command update rules. At the same time, when the MML command is updated, there are also problems in the modification of the set attributes. Therefore, there is also a priority between the set attributes. Specifically, the method includes: determining, according to the priority of the set attribute, an update order of the MML command of the second differential MML command set, such as a command name and a sequence of the command parameters; each attribute itself further includes a keyword, such as When the attribute is a name, the corresponding keyword can be a command name and a command name description. When the attribute is a parameter, the corresponding keyword can be a command parameter and a command parameter description, and the keywords also have a priority. After the update sequence is determined, the update direction of the MML command is further determined according to the keyword in the set attribute, that is, the second difference MML command is determined according to the keyword of the set attribute corresponding to the update order. The update direction of the MML commands within the collection. For example, in the command name, determining the update order of the command name and the command name description to determine the update direction; finally, updating the MML command belonging to the second differential MML command set to the corresponding update direction according to the update direction An MML command that distinguishes the MML command set obtains an MML command update rule of the MML command belonging to the second differential MML command set. An update to the MML command is implemented.

Further, there is another case between the first difference MML command set and the second difference MML command set, that is, the first difference MML command set and the second difference MML command set contain different numbers of MML commands. When there is a command in the first difference MML command set that is not in the second difference MML command set, the use is directly in the man-machine command script before the update. Some MML commands may be used; when there is a command in the second difference MML command set that is not in the first difference MML command set, that is, the MML commands cannot be updated to correspond to the first difference MML command set according to the update direction. The MML command saves the MML commands belonging to the second differential MML command set to the first human language command, and directly uses the human machine command script before the update, thereby finally realizing the update of the human machine command script.

Example 2

This embodiment is a man-machine command script updating device proposed on the basis of the method of Embodiment 1, as shown in FIG. 2, the device includes:

The first data dictionary obtaining unit 201 is configured to obtain a first data dictionary by using a first human language command;

The MML command update rule obtaining unit 202 is configured to compare the first data dictionary with a second data dictionary corresponding to the second human language command to obtain a differential MML command set; and obtain the MML according to the differential MML command set. Command update rule;

The man machine command script update unit 203 is configured to update the man machine command script based on the second human machine language command according to the MML command update rule.

The first data dictionary obtaining unit 201 specifically includes:

An MML command obtaining module configured to scan a tested system including a human machine command script having a first human language command to obtain a first human language command;

The first data dictionary obtaining module is configured to sort the first human language command according to the set attribute to obtain a first data dictionary.

As shown in FIG. 3, the MML command update rule obtaining unit 202 specifically includes:

The first difference MML command set obtaining module 2021 is configured to form a first set MML command in the first data dictionary into a first differential MML command set; the first set MML command cannot be according to the set attribute Finding the exact same MML command in the second data dictionary;

The second difference MML command set obtaining module 2022 is configured to form a second set MML command in the second data dictionary into a second differential MML command set; the second set MML command cannot be according to the set attribute Finding identical MML commands in the first data dictionary;

The difference MML command set obtaining module 2023 is configured to form the first differential MML command set and the second differential MML command set into a differential MML command set.

Further, the MML command update rule obtaining unit 202 may further include: an MML command update rule module 2024, configured to determine an update order of the MML commands of the second differential MML command set according to the priority of the set attribute, such as The command name, the order of the command parameters, and the update direction of the MML command in the second differential MML command set according to the keyword of the set attribute corresponding to the update order, such as the command name, the command name The update sequence of the command name description determines the update direction; the MML command belonging to the second difference MML command set is updated according to the update direction to the corresponding MML command belonging to the first differential MML command set, and the belonging MMA command is obtained. The MML command update rule of the second MML command that distinguishes the MML command set.

In addition, the MML command update rule module 2024 may further include an MML command saving module configured to: the MML command belonging to the second differential MML command set cannot be updated to correspond to the first differential MML command set according to the update direction. When the MML command is executed, the MML command belonging to the second differential MML command set is saved to the first human language command.

In actual application, the first data dictionary obtaining unit 201, the MML command update rule acquiring unit 202, the man-machine command script updating unit 203, the MML command acquiring module, the first data dictionary obtaining module, and the first difference MML command set obtaining module 2021. The second difference MML command set obtaining module 2022, the difference MML command set obtaining module 2023, and the MML command update rule module 2024 can be a central processing unit (CPU), a microprocessor (Micro Control) in the human machine command script updating device. Unit, MCU), digital signal A DSP (Digital Signal Processor, DSP) or a Field-Programmable Gate Array (FPGA) implementation; the MML command save module can be implemented by a CPU, an MCU, a DSP, or an FPGA in combination with a memory in the human-machine command script update device.

Example 3

This embodiment describes the present invention in detail through an actual scenario.

This embodiment includes the following steps:

Step A: scanning the first human language command and its parameters to form an MML data dictionary (first data dictionary);

Step B: identifying a difference between the first data dictionary of the first human language command and the second data dictionary of the second human language command, and updating the rule according to the MML command formulated according to the difference;

Step C: Convert the second human machine language command according to the MML command update rule, convert the second human machine language command into the first human machine language command, and implement the update of the human machine command script before the update.

Taking the name and parameters of the MML command as setting attributes, step A further includes:

Step A1: First, scan the network resource or the name of all MML commands of the system, and store the file as an Extensible Markup Language (XML) file according to the mnemonic, identifier, and command description of the name;

Step A2, and then scanning the parameters of each MML command, and storing the parameters in the XML file according to the name, ID, and parameter description of the parameter;

Step A3, combining the results of steps A1 and A2, generating a first data dictionary of names and parameters of all first human language commands;

Step B further includes:

B1. Comparing the difference between the first data dictionary of the first human language command and the second data dictionary of the second human language command to obtain a difference MML command set; specifically, the first in the first data dictionary Setting a MML command to form a first difference MML command set; the first setting Determining the MML command according to the set attribute cannot find the exact same MML command in the second data dictionary; and forming the second set MML command in the second data dictionary into the second difference MML command set; The second set MML command cannot find the exact same MML command in the first data dictionary according to the set attribute; and the first difference MML command set and the second difference MML command set are combined into a differential MML command set.

B2. Obtain an MML command update rule according to the differential MML command set.

In this embodiment, the priority of the name is higher than the priority of the parameter, that is, the update order is: first, the MML commands in the second differential MML command set are sorted by name, and then the second difference MML is parameterized. The MML command in the command set is sorted; wherein the name includes a keyword including a command name and a command name description, and the command name is first described as an update direction, and the MML command belonging to the second differential MML command set is updated to Corresponding MML commands belonging to the first differential MML command set obtain MML command update rules of the MML commands belonging to the second differential MML command set. Specifically, the method includes: 1) when the MML command of the second difference MML command set is compared with the MML command of the first difference MML command set, the MML command name changes, and when the command name description does not change, the second difference MML command set belongs to The command name of the MML command is modified to the command name of the corresponding MML command of the first difference MML command set; 2) the MML command is compared with the MML command of the first difference MML command set and the MML command of the first difference MML command set; When the name of the command is changed, the command name description of the MML command belonging to the second differential MML command set is modified to the command name description of the MML command corresponding to the first differential MML command set; 3) when the second When the MML command of the MML command set is different from the MML command of the first MML command set, when the MML command name changes and the command name description also changes, the command name is first modified, and then the command name description is modified. Similarly, the parameter keyword includes the command parameter and the command parameter description, and the update direction is the command parameter description after the command parameter first, and the specific process is the same as the above-mentioned update process for the name.

In addition, in addition to updating the command parameters and command parameters, it is often encountered that the value range of the command parameters needs to be updated. The parameter range update includes the following cases: 1) Adding or reducing an offset to a parameter in batches. For example, after updating, the command parameter NET ranges from 1 to 255 to 10 to 264. The batch migration rule can increase the value of all the parameters in the second human language command by 10, so that the human machine command script can also run normally in the new version. When the parameter needs to be expanded, the parameter can be modified to 10 Up to 1024; 2) The enumeration value has changed, for example, the enumeration value "DOMTOLL" of the command parameter is changed to "DOMAIN"; 3), the parameter format has changed, for example, the value of the command parameter DPC The format is changed from DPC=“2.3.6” to DPC=“2-3-6”; 4), the new keyword is added in the man-machine command script, and the key is added to the first human language command. The situation of the word.

In addition, it may be the case that an MML command that is not included in the second human language command is added to the first human language command, and the added MML command is applied to the human command script corresponding to the second human language command. That is, or there is a case where the first human language command reduces the MML commands that are not available in the second human language command, and these MML commands can be directly saved in the first human language command for later use.

The embodiment of the present invention constructs a first data dictionary of a first human language command, and establishes between the first data dictionary of the first human language command and the second data dictionary of the second human language command by the MML command update rule. The mapping relationship is implemented to update the human-machine command script before the update.

In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. The device embodiments described above are merely illustrative. For example, the division of the unit is only a logical function division. In actual implementation, there may be another division manner, such as: multiple units or components may be combined, or Can be integrated into another system, or some features can be ignored or not executed. In addition, each shown or discussed The coupling, or direct coupling, or communication connection of the components to each other may be an indirect coupling or communication connection through some interface, device or unit, and may be electrical, mechanical or other.

The units described above as separate components may or may not be physically separated, and the components displayed as the unit may or may not be physical units, that is, may be located in one place or distributed to multiple network units; Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing module, or each unit may be separately used as one unit, or two or more units may be integrated into one unit; the above integration The unit can be implemented in the form of hardware or in the form of hardware plus software functional units.

A person skilled in the art can understand that all or part of the steps of implementing the above method embodiments may be completed by using hardware related to the program instructions. The foregoing program may be stored in a computer readable storage medium, and the program is executed when executed. The foregoing storage device includes the following steps: The foregoing storage medium includes: a removable storage device, a read-only memory (ROM), a magnetic disk, or an optical disk, and the like, which can store program codes.

Those skilled in the art will appreciate that embodiments of the present invention can be provided as a method, system, or computer program product. Accordingly, the present invention can take the form of a hardware embodiment, a software embodiment, or a combination of software and hardware. Moreover, the invention can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) including computer usable program code.

The present invention has been described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (system), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or FIG. These computer program instructions can be provided to a general purpose computer, a special purpose computer, An processor of an embedded processor or other programmable data processing device to generate a machine such that instructions executed by a processor of a computer or other programmable data processing device are generated for implementation in a flow or a flow of flowcharts and/or Or a block diagram of a device in a box or a function specified in a plurality of boxes.

The computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture comprising the instruction device. The apparatus implements the functions specified in one or more blocks of a flow or a flow and/or block diagram of the flowchart.

These computer program instructions can also be loaded onto a computer or other programmable data processing device such that a series of operational steps are performed on a computer or other programmable device to produce computer-implemented processing for execution on a computer or other programmable device. The instructions provide steps for implementing the functions specified in one or more of the flow or in a block or blocks of a flow diagram.

Based on this, an embodiment of the present invention further provides a computer storage medium, where the computer storage medium includes a set of instructions, when executed, causing at least one processor to execute the man-machine command script update method.

The above is only a specific embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily think of changes or substitutions within the technical scope of the present invention. It should be covered by the scope of the present invention. Therefore, the scope of the invention should be determined by the scope of the appended claims.

Claims

A human-machine command script update method, the method comprising:

Obtaining a first data dictionary by a first human language command;

Comparing the first data dictionary with the second data dictionary corresponding to the second human language command to obtain a differential human language command set; and obtaining a human language command update rule according to the differential human language command set;

The man-machine command script based on the second human language command is updated according to the human language command update rule.
The method of claim 1, wherein the obtaining the first data dictionary by the first human language command comprises:

Scanning a system under test containing a human machine command script having a first human language command to obtain a first human language command;

The first human language command is sorted according to the set attribute to obtain a first data dictionary.
The method of claim 1, wherein the comparing the first data dictionary with the second data dictionary corresponding to the second human language command to obtain the difference human language command set comprises:

Forming, by the first set of human-machine language commands in the first data dictionary, a first set of different human-machine language commands; the first setting human-machine language command cannot be in the second data according to the set attribute Find the exact same human-machine language command in the dictionary;

Forming, by the second set of human-machine language commands in the second data dictionary, a second set of different human-machine language commands; the second setting human-machine language command cannot be in the first data according to the set attribute Find the exact same human-machine language command in the dictionary;

The first distinct human language command set and the second differential human language command set are combined to form a differential human language command set.
The method of claim 3, wherein said different human language is The command set to get the human language command update rules includes:

Determining, according to a priority of the set attribute, an update order of the human language command of the second differentiated human language command set in the differential human language command set;

Determining an update direction of a human machine language command in the second differential human language command set according to the keyword of the setting attribute corresponding to the update order;

Updating the human language command belonging to the second differential human language command set to the corresponding human language command belonging to the first differential human language command set according to the update direction, and obtaining the second difference Human-machine language command update rule for human-machine language commands of the human-machine language command set.
The method of claim 4, wherein the obtaining the human language command update rule according to the differential human language command set further comprises:

If the human language command belonging to the second differential human language command set cannot be updated to the corresponding human language command belonging to the first differential human language command set according to the update direction, The human language command that distinguishes the human language command set is saved to the first human language command.
A human-machine command script updating device, the device comprising:

a first data dictionary obtaining unit configured to obtain a first data dictionary by using a first human language command;

The human language command update rule obtaining unit is configured to compare the first data dictionary and the second data dictionary corresponding to the second human language command to obtain a difference human language command set; according to the difference human machine The language command set gets the human language command update rule;

The man machine command script update unit is configured to update the man machine command script based on the second human language command according to the man machine language command update rule.
The apparatus according to claim 6, wherein the first data dictionary obtaining unit comprises:

a human language command acquisition module configured to scan a tested system including a human machine command script having a first human language command to obtain a first human language command;

The first data dictionary obtaining module is configured to sort the first human language command according to the set attribute to obtain a first data dictionary.
The apparatus according to claim 6, wherein the human language command update rule acquisition unit comprises:

a first difference human-machine language command set obtaining module, configured to form a first set human-machine language command in the first data dictionary into a first differential human-machine language command set; the first setting human-machine language command According to the set attribute, the same human language command cannot be found in the second data dictionary;

a second difference human-machine language command set obtaining module, configured to form a second set human-machine language command in the second data dictionary into a second differential human-machine language command set; and the second setting human-machine language command According to the set attribute, the same human-machine language command cannot be found in the first data dictionary;

The difference human-machine language command set obtaining module is configured to form the first difference human-machine language command set and the second difference human-machine language command set into a difference human-machine language command set.
The device according to claim 8, wherein the human language command update rule acquisition unit further comprises:

a human language command update rule module, configured to determine an update order of the human language command of the second differential human language command set in the differential human language command set according to the priority of the set attribute; Determining an update direction of the human language command in the second differential human language command set according to the keyword of the setting attribute corresponding to the update order; and belonging to the second differential human language command set The human language command is updated according to the update direction to a corresponding human language command belonging to the first differential human language command set, and the human machine language command belonging to the second differential human language command set is obtained. Language command update then.
The apparatus of claim 9, wherein the human language command update rule module comprises:

a human language command saving module configured to, in the update direction, fail to update the corresponding human machine language command belonging to the second differential human language command set to the corresponding human machine belonging to the first differential human language command set When the language command is issued, the human language command belonging to the second different human language command set is saved to the first human language command.
A computer storage medium comprising a set of instructions that, when executed, cause at least one processor to perform the human machine command script update method of any one of claims 1 to 5.