Prompts for Analyzing Test Data:

 

Prompts for Analyzing Test Data:

Here are some prompts, categorized by their purpose, to help you analyze your test data:

1. Identifying Overall Performance:

• Sample Prompt: What is the overall pass/fail rate of the tests?
• Other prompts: Are there any significant trends in the overall performance over time? How does the performance differ across different test types or configurations?

2. Analyzing Specific Tests:

• Sample Prompt: Which tests are failing the most frequently?
• Other prompts: What are the common reasons for specific tests to fail? Are there any specific tests with unexpectedly high pass rates?

3. Comparing Groups:

• Sample Prompt: How does the performance of different test groups (e.g., different versions, configurations) compare?
• Other prompts: Are there any statistically significant differences between the performance of different groups? How do specific tests behave differently across different groups?

4. Exploring Data Distribution:

• Sample Prompt: What is the distribution of execution times for the tests?
• Other prompts: Are there any outliers in terms of execution time, memory usage, or other relevant metrics? Are there any patterns in the distribution of specific data points?

5. Identifying Correlations:

• Sample Prompt: Is there a correlation between test execution time and specific test features (e.g., complexity, size)?
• Other prompts: Do specific test environments or configurations exhibit correlations with certain test outcomes? Are there any unexpected correlations between different data points?

6. Investigating Root Causes:

• Sample Prompt: For the top failing tests, what are the specific error messages or logs indicating the root cause?
• Other prompts: Can the root cause of specific failures be traced back to specific code changes or configurations? Are there any systemic issues contributing to a specific type of failure?

Remember:

• These are just examples, and the specific prompts you use will depend on your specific test data and the goals of your analysis.
• Tailor your prompts to your specific context and research questions.
• Consider using visualization techniques to explore the data and identify patterns.

By using these prompts and exploring your data thoroughly, you can gain valuable insights into the performance, behavior, and potential issues within your testing process.