How to judge the timing of automated testing?

When judging the timing of automated testing, consider the following factors:

1. Software stability assessment:

  • Determine the development stage of the software. If the software is still undergoing rapid iteration and development, it may change frequently and it is not suitable to introduce automated testing.

  • Analyze whether the functions and interfaces of the software are relatively stable and are no longer frequently modified in order to write stable automated test scripts.

  • Consider software quality, whether there are common stability issues and bugs.

2. Test requirements and complexity assessment:

  • Understand the functionality and coverage of tests. Determine the function points and boundary conditions of the test based on requirements documents, user stories, etc.

  • Evaluate the complexity and difficulty of testing, including the number of test cases, execution time, data preparation process, etc.

  • Analyze the coverage of tests, including tests at different levels such as front-end, back-end, database, and API.

3. Time and resource investment evaluation:

  • Estimate the time and labor costs of manual testing, and calculate the testing effort that needs to be done in each testing iteration.

  • Consider whether you need to test on different operating systems, devices, and browsers, which will add to the complexity of manual testing.

  • Based on time and resource constraints, assess whether there are sufficient resources and time to conduct automated testing.

4. Existing test basis and experience evaluation:

  • Investigate the technical capabilities and experience of team members, including whether they are familiar with automated testing frameworks, experience in writing test scripts, etc.

  • Confirm whether the team has the technical facilities and tools required for automated testing, such as test environment, version control system, continuous integration, etc.

  • Evaluate whether team members are willing to accept new technical challenges and adapt to changes brought about by automated testing.

5. Risk assessment:

  • Assess the possible risks of introducing automated testing and determine whether they can be controlled and addressed.

  • Consider the suitability of automated testing tools and frameworks, whether they can meet the needs of the project, and whether additional learning and adaptation periods are required.

  • Analyze maintenance costs for automated testing, including script debugging, updates, maintenance, and refactoring.

Combining the above factors, the timing of automated testing can be accurately judged. To understand that automated testing is not suitable for all projects and all phases, specific decisions should be made based on the project needs and the actual situation of the team.

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Origin blog.csdn.net/AI_Green/article/details/132562783
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