How to write automated testing scripts

Writing automated testing scripts  involves multiple steps, each with its own specific considerations and actions. Here is an overview of these steps:

Requirements analysis: Determine the scope and objectives of the test, analyze the requirements document or user story, and understand the functionality and business logic. Identify test cases, including forward and reverse scenarios.

Select test tools and frameworks: Select the appropriate automated test tools and frameworks based on your project requirements and technology stack. Understand the features and capabilities of the selected tools and frameworks to determine if they meet your project needs.

Test environment preparation: Build a test environment, including software and hardware environment preparation. Configure the test environment, such as the database and server.

Script design: Design the logic and flow of test scripts based on test cases. Design test data using test design techniques such as equivalence class partitioning and boundary value analysis. Determine assertions and verification points to verify the correctness of test results.

Scripting: Writing test scripts using selected testing tools and frameworks. Write maintainable, extensible test code that follows coding specifications and best practices. Use comments and documentation to explain the functionality and logic of the script.

Script debugging: Execute the test script in the local environment to debug and verify the correctness of the script. Review logs and reports to identify and resolve problems and errors in scripts.

Script optimization: Optimize test scripts to improve execution efficiency and stability. Reduce dependencies and coupling of test scripts to improve maintainability and reusability.

Script integration and versioning: Integrate test scripts into your version control system to ensure code versioning and team collaboration. Ensure continuous integration and automated execution of scripts.

Execution and analysis: Execute test scripts and collect test results and logs. Analyze test results to identify potential defects and problems. Generate test reports that provide test results and execution summaries.

Feedback and optimization: Continuously optimize test scripts based on test results and feedback. Collect feedback from teams and users to continuously improve testing strategies and processes.

In addition, according to different design patterns and methodologies, script design can be linear design, structured design, shared design and data-driven design. Each method has its own characteristics and applicable scenarios. Choosing the right design method can improve the test efficiency and script maintainability.