UI automatic testing method based on user behavior analysis

Abstract

The invention discloses a user behavior analysis-based UI automatic test method, which comprises the following steps of: analyzing a demand, and determining a test target; designing a user behavior model; compiling a specific test case according to the user behavior model; building a test environment; executing the test case in the built test environment; analyzing the test result, and re-executing the related test case to ensure that the problem is solved after the repair is completed; and optimizing a test framework and a test case. By means of compiling and debugging of the automatic test script, manual intervention is reduced, the test efficiency is improved, and the labor cost is reduced; meanwhile, the test simulation degree is improved, so that the later repair and verification cost caused by insufficient test is reduced; the method supports a concurrency performance test, can simulate operation behaviors of a plurality of users at the same time, and quickly discovers potential problems of a system in a high-concurrency scene; the test requirements in multiple aspects are comprehensively considered, and the comprehensiveness and reliability of the test result are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of automated testing, and in particular to a UI automated testing method based on user behavior analysis. Background Art

[0002] The technical background of the UI automated testing framework based on user behavior analysis involves multiple aspects, including user behavior analysis technology, UI automated testing technology, and the combined application of the two. Specifically: 1. User Behavior Analysis Technology User behavior analysis refers to the process of collecting, processing and analyzing user behavior data when using software or applications to understand user usage habits, preferences and needs, and then optimize product functions and user experience. These behavior data may include user clicks, swipes, dwell time, page jumps, etc. User behavior analysis technology usually includes the following steps: Data collection: Collect user behavior data through log records, user feedback, user behavior tracking tools, etc.

[0003] Data processing: Clean, organize, and classify the collected data for subsequent analysis.

[0004] Data analysis: Use statistics, data mining and other methods to analyze the processed data and identify users' usage habits and common operation paths.

[0005] Application of results: Apply the analysis results to product optimization, market strategy and other aspects to improve user experience and product competitiveness.

[0006] 2. UI Automation Testing Technology UI automation testing refers to the process of simulating user interaction with the application's user interface through automation tools or frameworks, and verifying whether the application's response and behavior meet expectations. UI automation testing technology usually includes the following core links: Interface positioning: Accurately identify and locate elements on the interface through element ID, name, class name, XPath, CSS selector, etc.

[0007] Operation simulation: simulate user interaction such as clicking buttons, entering text, and selecting options in drop-down boxes.

[0008] Verification and assertion: Write code to check whether the actual state of the application is consistent with the expected state, such as checking the text content, attribute values, visibility, etc. of page elements.

[0009] Exception handling and environment management: Handle exceptions that may occur during testing and manage the test environment under different browser versions, operating systems, or device configurations.

[0010] 3. Combined Application The UI automation testing framework based on user behavior analysis combines user behavior analysis technology with UI automation testing technology to improve testing efficiency and software quality in the following ways: Test case design: Design test cases that are more in line with actual usage scenarios based on the results of user behavior analysis to improve the pertinence and effectiveness of the test.

[0011] Test script writing: Use the element positioning function and operation interface provided by the UI automation testing framework to write test scripts and simulate user behavior to execute test cases.

[0012] Test result analysis: Combine user behavior data and test results for comprehensive analysis to identify potential problems and defects and provide data support for product optimization.

[0013] In the process of combining applications, you may encounter some technical challenges, such as difficulty in locating interface elements, high maintenance costs of test scripts, and large and complex user behavior data.

[0014] There is currently no effective solution to the above problems. Summary of the invention

[0015] In view of the above technical problems in the related art, the present invention proposes a UI automation testing method based on user behavior analysis, which can overcome the above deficiencies in the prior art.

[0016] To achieve the above technical objectives, the technical solution of the present invention is implemented as follows: A UI automation testing method based on user behavior analysis includes the following steps: S1 Analyze requirements and clarify test objectives, including the user behaviors to be simulated and analyzed and the expected test results; S2 designs a user behavior model based on user behavior analysis. The user behavior model is used to simulate various scenarios and situations that users encounter when using the application; S3 writes specific test cases based on the user behavior model. Each test case includes clear test steps, expected results, and actual results. The test cases cover all aspects of the application. S4 builds the test environment; S5 Use the selected UI automation testing tool to execute test cases in the built test environment, and record the test process and results, including any abnormal situations or failures; S6 analyzes the test results, locates the cause of the problem and formulates a corresponding repair plan. After the repair is completed, the relevant test cases are re-executed to ensure that the problem has been solved; S7 optimizes the test framework and test cases based on test results and user feedback.

[0017] Furthermore, in step S5, the UI automation testing tools include Selenium for Web applications, Appium for mobile applications, and TestComplete for desktop applications.

[0018] Furthermore, the test environment includes a test server, a test database, and a test device.

[0019] Furthermore, the test cases include input verification test cases, interaction test cases, and boundary condition test cases.

[0020] Furthermore, the test cases are organized using the Pytest test framework, the test cases are written in Python, and the page elements and operations are encapsulated into objects using the Page Object mode.

[0021] Furthermore, in step S5, the recorded test process and results are used to generate a detailed test report using the Allure test report tool.

[0022] Beneficial effects of the present invention: The writing and debugging of the automated test scripts of the present invention reduces manual intervention, improves test efficiency, and reduces labor costs. At the same time, due to the improvement of the test simulation level, the cost of later repair and verification caused by insufficient testing is also reduced; the patent supports concurrent performance testing, and can simulate the operation behaviors of multiple users at the same time, so as to quickly discover potential problems of the system in high-concurrency scenarios; it comprehensively considers multiple aspects of test requirements, including user operation authenticity, test indicator accuracy, test scope comprehensiveness and browser differences, etc., so as to ensure the comprehensiveness and reliability of the test results. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0024] Figure 1 It is a flowchart of a UI automation testing method based on user behavior analysis according to an embodiment of the present invention. DETAILED DESCRIPTION

[0025] The following will be combined with the accompanying drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field belong to the scope of protection of the present invention.

[0026] like Figure 1 As shown, a UI automated testing method based on user behavior analysis according to an embodiment of the present invention includes the following steps: S1 Analyze requirements and clarify test objectives, including the user behaviors to be simulated and analyzed and the expected test results; S2 designs a user behavior model based on user behavior analysis. The user behavior model is used to simulate various scenarios and situations that users encounter when using the application; S3 writes specific test cases based on the user behavior model. Each test case includes clear test steps, expected results, and actual results. The test cases cover all aspects of the application. S4 builds the test environment; S5 Use the selected UI automation testing tool to execute test cases in the built test environment, and record the test process and results, including any abnormal situations or failures; S6 analyzes the test results, locates the cause of the problem and formulates a corresponding repair plan. After the repair is completed, the relevant test cases are re-executed to ensure that the problem has been solved; S7 optimizes the test framework and test cases based on test results and user feedback.

[0027] In step S5, the UI automation testing tools include Selenium for Web applications, Appium for mobile applications, and TestComplete for desktop applications.

[0028] The test environment includes test servers, test databases, and test equipment.

[0029] Test cases include input verification test cases, interaction test cases, and boundary condition test cases.

[0030] The test cases are organized using the Pytest test framework. The test cases are written in Python and use the PageObject mode to encapsulate page elements and operations into objects.

[0031] In step S5, the recorded test process and results are used to generate a detailed test report using the Allure test report tool.

[0032] In order to facilitate understanding of the above technical solutions of the present invention, the above technical solutions of the present invention are described in detail below through specific usage methods.

[0033] In specific use, according to the UI automated testing method based on user behavior analysis described in the present invention, the following technical solutions are required: 1. Artificial Intelligence Technology: Image recognition: Use deep learning algorithms such as CNN to identify elements in the UI interface.

[0034] Natural language processing: Use deep learning algorithms such as word embedding and RNN to process natural language input by users.

[0035] Predict user behavior: Use algorithms such as Markov chains and deep learning to predict user behavior and needs.

[0036] 2. Flexible element positioning strategy: XPath: Locate UI elements through XML path expressions.

[0037] CSS Selectors: Use CSS selectors to locate elements on a page.

[0038] Image recognition: Incorporate image recognition technology to improve the accuracy and stability of element positioning.

[0039] 3. Low-code / no-code automated testing platform: MeterSphere: Provides functional modules such as test tracking, interface testing, performance testing and UI testing, and supports low-code automated testing.

[0040] Other platforms: such as Airtest, Appium, etc., also provide rich automated testing functions.

[0041] 4. Test optimization strategy: Optimize test case selection: Define clear priorities for core and stable businesses.

[0042] Reduce unnecessary assertions and screenshots: Consider the necessity of assertions when designing use cases in the early stages and reduce unnecessary assertion settings and screenshots.

[0043] Reasonably set the test waiting time: set the waiting time according to the stability and response speed of the test environment.

[0044] Enable multi-threaded execution: Analyze the dependencies of test cases and execute independent test cases in different threads simultaneously.

[0045] 5. Cross-platform and cross-browser testing: Selenium: supports automated testing on multiple browsers and operating systems.

[0046] Appium: It supports automated testing of not only Android and iOS apps, but also hybrid and web applications.

[0047] Specific implementation key steps: 1. Demand Analysis First, clarify the test objectives and requirements, including which user behaviors need to be simulated and analyzed, and the expected test results. This usually involves an in-depth understanding of the application's user interface, including interface layout, interaction logic, data flow, etc.

[0048] 2. Choose the right testing tool Choose the appropriate UI automation testing tool according to your needs. Common testing tools include Selenium (for Web applications), Appium (for mobile applications), TestComplete (for desktop applications), etc. These tools can simulate user operations on the interface, such as clicking, inputting, sliding, etc.

[0049] 3. Design user behavior model Based on user behavior analysis, design a series of user behavior models. These models should cover various scenarios and situations that users may encounter when using the application, including but not limited to normal operation processes, abnormal operation processes, boundary condition testing, etc.

[0050] 4. Write test cases Write specific test cases based on the user behavior model. Each test case should contain clear test steps, expected results, and actual results. Test cases should cover every aspect of the application as much as possible to ensure the comprehensiveness and effectiveness of the test.

[0051] 5. Set up the test environment Build an appropriate test environment, including test servers, test databases, test equipment, etc. The test environment should be as close to the actual production environment as possible to ensure the accuracy and reliability of the test results.

[0052] 6. Implement the test Use the selected test tools to execute the test cases in the built test environment. During the testing process, the test process and results should be recorded, including any abnormal conditions or failures.

[0053] 7. Analysis and repair Analyze the test results, locate the cause of the problem and develop a corresponding repair plan. After the repair is completed, the relevant test cases need to be re-executed to ensure that the problem has been resolved.

[0054] 8. Continuous Optimization Based on test results and user feedback, we continuously optimize the test framework and test cases, introduce new test technologies and methods, and improve test efficiency and accuracy.

[0055] Example of specific implementation steps: a. Environment Construction Install Selenium WebDriver and related browser drivers (such as ChromeDriver).

[0056] Configure a test server and test database.

[0057] b. Write test code Use Python to write test scripts and use Selenium WebDriver to simulate user operations in the browser.

[0058] Use the Page Object pattern to encapsulate page elements and operations into objects to improve the maintainability and reusability of the code.

[0059] c. Design test cases Design test cases based on user behavior models, including input validation, interaction testing, boundary condition testing, etc.

[0060] Organize test cases using a testing framework such as Pytest and write test assertions to verify expected results.

[0061] d. Execute the test Execute test cases in the test environment and record the test process and results.

[0062] Use test reporting tools such as Allure to generate detailed test reports to facilitate problem location and analysis.

[0063] e. Analysis and repair Analyze the test results and locate the cause of the problem.

[0064] Write the fix code and re-execute the relevant test cases to verify the fix effect.

[0065] f. Continuous Optimization Optimize the test framework and test cases based on test results and user feedback.

[0066] Introduce new testing technologies and methods to improve testing efficiency and accuracy.

[0067] By implementing the above steps, you can build a UI automation testing framework based on user behavior analysis to achieve comprehensive testing and optimization of the application user interface.

[0068] Optimize interface element positioning strategy: adopt a strategy that combines multiple positioning methods to improve the accuracy and stability of element positioning.

[0069] Introducing intelligent tools: Using machine learning, deep learning and other technologies to achieve intelligent element recognition and positioning, and reduce the maintenance cost of test scripts.

[0070] Data cleaning and preprocessing: Clean and preprocess the collected user behavior data to remove noise data and improve the accuracy and efficiency of data analysis.

[0071] In summary, with the help of the above technical solutions of the present invention, the writing and debugging of the automated test scripts of the present invention reduces manual intervention, improves test efficiency, and reduces labor costs. At the same time, due to the improvement of the test simulation level, the cost of later repair and verification caused by insufficient testing is also reduced; the patent supports concurrent performance testing, and can simulate the operation behaviors of multiple users at the same time, so as to quickly discover potential problems of the system in high-concurrency scenarios; it comprehensively considers multiple aspects of testing requirements, including user operation authenticity, test indicator accuracy, test scope comprehensiveness and browser differences, etc., so as to ensure the comprehensiveness and reliability of the test results.

[0072] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A UI automation testing method based on user behavior analysis, characterized in that: The steps include: S1 Analyze requirements and clarify test objectives, which include the user behaviors to be simulated and analyzed and the expected test results; S2 designs a user behavior model based on user behavior analysis. The user behavior model is used to simulate various scenarios and situations that users encounter when using the application; S3 writes specific test cases based on the user behavior model. Each test case includes clear test steps, expected results, and actual results. The test cases cover all aspects of the application. S4 builds the test environment; S5 Use the selected UI automation testing tool to execute test cases in the built test environment, and record the test process and results, including any abnormal situations or failures; S6 analyzes the test results, locates the cause of the problem and formulates a corresponding repair plan. After the repair is completed, the relevant test cases are re-executed to ensure that the problem has been solved; S7 optimizes the test framework and test cases based on test results and user feedback.

2. The UI automated testing method based on user behavior analysis according to claim 1, characterized in that: In step S5, the UI automation testing tools include Selenium for Web applications, Appium for mobile applications, and TestComplete for desktop applications.

3. The UI automated testing method based on user behavior analysis according to claim 1, characterized in that: The test environment includes test servers, test databases, and test equipment.

4. The UI automated testing method based on user behavior analysis according to claim 1, characterized in that: Test cases include input verification test cases, interaction test cases, and boundary condition test cases.

5. The UI automated testing method based on user behavior analysis according to claim 4 is characterized in that: The test cases are organized using the Pytest test framework. The test cases are written in Python and use the Page Object mode to encapsulate page elements and operations into objects.

6. The UI automated testing method based on user behavior analysis according to claim 1, characterized in that: In step S5, the recorded test process and results are used to generate a detailed test report using the Allure test report tool.

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