CN106371994B - Dynamic mobile APP test methods based on natural language processing - Google Patents

Abstract

The invention discloses a dynamic mobile APP testing method based on natural language processing, comprising the following steps: Step 1, select and determine the operating environment of the APP; Step 2, import and determine the feature file to be tested; Step 3, use the configuration file to read The operating environment parameter in step 1; Step 4, the information that step 3 is read and the Gherkin script of system preset are matched; Step 5, the Gherkin script that step 4 is matched successfully is sent to the mobile test generator to be carried out; Step 6. Create corresponding objects through the WebDriver client interface to read the logs obtained in step 5; step 7. Use the logs and apk files read in step 6 to use the Ruby platform to test the APP. The method of the invention is simple and easy to implement.

Description

Dynamic mobile APP testing method based on natural language processing

technical field

The invention belongs to the technical field of mobile APP test scripts, in particular to a dynamic mobile APP test method based on natural language processing.

Background technique

The mobile economy is booming, with thousands of different watch faces and multiple operating systems, it's nearly impossible to have an app that delights all users at all times. The quality of mobile applications is of paramount importance in this competitive economic market. Mobile application testing activities ensure the overall quality of the product in all aspects including product features, functionality and behavior, as well as service quality.

Web-based testing tools have come a long way, but mobile testing tools are still primitive, and just seven years ago, with the introduction of Android and iOS, the boom followed. Numerous testing tools like Appium, Xcode and Robotium were born, each with their unique and distinctive features.

As the number of mobile products continues to increase, the testing of these products is very important. We need to choose the testing tool that is most suitable for the product. Therefore, the increasing demand for mobile devices has led to the development of higher level tools to test them. According to research findings, most testing tools either perform GUI testing or load and performance testing. However, all these tools have certain limitations.

Contents of the invention

The object of the present invention is to provide a dynamic mobile APP testing method based on natural language processing.

The technical solution that realizes the object of the present invention is: a kind of dynamic mobile APP testing method based on natural language processing, comprises the following steps:

Step 1, select and determine the operating environment of the APP, the operating environment of the APP is the virtual machine environment required for APP testing, including the android version and the memory size;

Step 2, import and determine the feature file to be tested, the feature file includes the test automation script in the behavior-driven development and the scene file required by the test application;

Step 3, use the configuration file to read the operating environment parameters in step 1, and read the feature file in step 2 at the same time and isolate these data into the Gherkin extension;

Step 4, the information that step 3 is read is matched with the Gherkin script that system presets, and described preset script is stored in database with plain text file or XML file;

Step 5. Send the successfully matched Gherkin script in step 4 to the mobile test generator to be executed. Cucumber parses the script based on the script natural language and outputs the parsing log;

Step 6, creating corresponding objects through the WebDriver client interface to read the log obtained in step 5, and at the same time, obtain the apk file to be tested;

Step 7. Using the logs and apk files read in step 6, use the Ruby platform to test the APP, and output a test report.

Compared with the prior art, the present invention has significant advantages as follows: 1) The present invention can be used to solve the growing demand of using natural language to test mobile phones in the mobile market. Users can customize the Gherkin script and put it into the Gherkin extender to become a preset script to realize the extension. 2) The method of the present invention is simple and easy to implement.

The present invention will be further described below in conjunction with the accompanying drawings.

Description of drawings

Figure 1 is a schematic diagram of the relationship between system components.

Fig. 2 is a flow chart of the script-based modification method.

Figure 3 is a schematic diagram of interface logic design.

Figure 4 is a user interface and functional diagram.

Fig. 5 is the working flowchart of the system.

Figure 6 is an overall scope diagram of the system.

Detailed ways

In conjunction with Fig. 1, a kind of dynamic mobile APP testing method based on natural language processing of the present invention comprises the following steps:

Step 1, select and determine the operating environment of the APP, the operating environment of the APP is the virtual machine environment required for APP testing, including the android version and the memory size;

Step 2, import and determine the feature file to be tested, the feature file includes the test automation script in the behavior-driven development and the scene file required by the test application;

Step 3, use the configuration file to read the operating environment parameters in step 1, and read the feature file in step 2 at the same time and put these data isolations into the Gherkin extension part; put the data isolation into the Gherkin extension part specifically as follows:

Step 3-1, use RubyGems to create each input legal document with a Ruby library, and distribute independent software packages;

Step 3-2. Copy the input file into the package, and at the same time, RubyGems automatically installs the programs and libraries required to store the file.

Step 4, match the information read in step 3 and the Gherkin script preset by the system, and the preset script is stored in the database with a plain text file or an XML file; the matching of the information read and the Gherkin script preset by the system is specifically :

Step 4-1, run in cucumber according to the keywords and sentences provided by the read information and generate a report;

Step 4-2, judging the generated report whether the input information can match with the system preset Gherkin script;

Step 4-3, if step 4-2 is satisfied, judge whether it will perform in the manner defined in the matching Gherkin script, and proceed to step 5 if the condition is satisfied, otherwise the test is terminated.

Step 5. Send the successfully matched Gherkin script in step 4 to the mobile test generator to be executed. Cucumber parses the script based on the script natural language and outputs the parsing log;

Step 6, creating corresponding objects through the WebDriver client interface to read the log obtained in step 5, and at the same time, obtain the apk file to be tested;

Step 7. Using the logs and apk files read in step 6, use the Ruby platform to test the APP, and output a test report.

A more detailed description follows.

The present invention is to construct a unified mobile testing platform, which enables us to use natural language to test all functions of a mobile application program in a simple framework, and mainly realizes script conversion and matching based on cucumber.

A kind of dynamic mobile APP testing method based on natural language processing of the present invention, realizes following steps with calabash-android framework:

Step 1, select and determine the operating environment of the APP, the operating environment of the APP is mainly the virtual machine environment required for APP testing, including the android version, memory size, etc.;

Step 2, importing the feature file determined to be tested, the feature file including the test automation script in the behavior-driven development and the scene file required by the test application.

The sample code is as follows:

Step 3. Use the configuration file to read the operating environment parameters in step 1, and at the same time read the feature file in step 2 and isolate these data into the Gherkin extension part, and put the data isolation into the Gherkin extension part, that is, use RubyGems for each The legal input documentation is created with a Ruby library and distributed as a stand-alone package in which the input documentation is copied, while RubyGems automatically installs the programs and libraries required to store the documentation.

Step 4. Match the information read in step 3 with the Gherkin script preset by the system. The matching process is to run and generate a report in cucumber according to the keywords and sentences provided by the read information, and judge the input information for the generated report Whether it can be matched with the Gherkin script preset by the system, and then judge whether it will perform in the manner defined in the matched Gherkin script, and if the conditions are met, proceed to step 5, otherwise the test is terminated. The preset scripts are test cases of the system. The system already includes defining new scenarios, executing scenarios, defining new environments, capturing test results, browsing test results, etc., which can be customized by users and stored in the database with plain text files or XML files , these files will be used as logs generated by the test script generator;

Customize the new scene template as follows:

The sample code is as follows:

Step 5. Send the successfully matched Gherkin script in step 4 to the mobile test generator to be executed. Cucumber parses the script based on the script natural language and outputs the parsing log;

Step 6, creating corresponding objects through the WebDriver client interface to read the log obtained in step 5, and at the same time, obtain the apk file to be tested;

Step 7. Using the script language and apk file read in step 6, use the Ruby platform to test the APP, and output a test report.

The present invention will be further described in detail below in conjunction with the examples.

Example

The invention discloses a mobile app testing method. The method extends the behavior of Cucumber through a scene defined by a user using natural language, and the core of the application program is the extension of Gherkin. The core of the method implementation is to design a prototype script generator, which can generate mobile application test scripts based on user input requirements. Specifically, it includes the following parts:

1) Develop mobile testing models and coverage criteria automation for mobile applications. Two modes of mobile application testing are developed: the first one is based on the GUI of the mobile testing model, and the second mode will allow us to test the application in different environments. Solve some problems in various aspects of testing when conducting mobile application testing, such as based on network or local hardware, the application testing is divided into two aspects: function and performance. Behavioral tests test the simulator with different parameters. There are also issues of interoperability, connectivity, quality of service, security, ease of use, and more.

2) Create a prototype tool based on the technique of developing natural language test scripts. Supports mobile application test automation across different mobile testing environments and platforms. This prototype clearly enables us to provide a unified control and test generator. It will also help us understand the scripts running in the background of the process.

3) Based on the design and development of a natural language processor, an executable test script generation tool similar to Cucumber, which executes on the previously established prototype and provides a natural language script content based on natural language processing. details as follows:

Install and enable WordPress application in android

Scenario 1: After entering the credentials, click the login page tab to enter the main page of wordpress.

Scenario: As a valid user I can log into my app

When I see "Sign in"

Then I enter text "lpshikhar" into field with id "nux_username"

And I enter text "shikharrawat" into field with id "nux_password"

Then I press "Sign in"

And I should see "Posts"

And I press view with content description "More options"

And I touch the "Sign out" text

And I press the "Sign out" button

Then I wait for 2 seconds

And take picture

Scenario 2: Click the three dots in the upper right corner of the screen to enter the menu items

And I press view with content description "More options"

Scenario 3: After the menu has been pressed, we will see a drop-down menu, select Logout.

And I touch the "Sign out" text

And I press the "Sign out" button

Then I wait for 2 seconds

The method of the invention is simple and easy to implement.

Claims (3)

1. A dynamic mobile APP testing method based on natural language processing, characterized in that, comprising the following steps: Step 1, select and determine the operating environment of the APP, the operating environment of the APP is the virtual machine environment required for APP testing, including the android version and the memory size; Step 2, import and determine the feature file to be tested, the feature file includes the test automation script in the behavior-driven development and the scene file required by the test application; Step 3, utilize the configuration file to read the running environment parameter in the step 1, read the feature file in the step 2 simultaneously, then isolate the described running environment parameter, the feature file and put into the Gherkin extension part; Step 4, the information that step 3 is read is matched with the Gherkin script that system presets, and described preset script is stored in database with plain text file or XML file; Step 5. Send the successfully matched Gherkin script in step 4 to the mobile test generator to be executed. Cucumber parses the script based on the script natural language and outputs the parsing log; Step 6, creating corresponding objects through the WebDriver client interface to read the log obtained in step 5, and at the same time, obtain the apk file to be tested; Step 7. Using the logs and apk files read in step 6, use the Ruby platform to test the APP, and output a test report. 2. the dynamic mobile APP testing method based on natural language processing according to claim 1, is characterized in that, step 3 puts into Gherkin extension part to data isolation and is specifically: Step 3-1, use RubyGems to create each input legal document with a Ruby library, and distribute independent software packages; Step 3-2. Copy the input document into the software package, meanwhile, RubyGems automatically installs the programs and libraries required to store the input document. 3. the dynamic mobile APP testing method based on natural language processing according to claim 1, is characterized in that, the Gherkin script matching of the information that reads and system preset in step 4 is specifically: Step 4-1, run in cucumber according to the keywords and sentences provided by the read information and generate a report; Step 4-2, judging the generated report whether the read information can match the Gherkin script preset by the system; Step 4-3, if step 4-2 is satisfied, judge whether it will perform in the manner defined in the matching Gherkin script, and proceed to step 5 if the condition is satisfied, otherwise the test is terminated.