AIQ Reporting Knowledge Base Overview

AIQ Reporting Knowledge Base Overview

Use reporting knowledge base content to explain maintained AIQ result, report, and metric interpretation workflows.

ContentsRecommended guidance

• Keep metric definitions clear and tied to current AIQ reporting.
• AllSeparate live monitoring from completed-run analysis.
• Avoid duplicating reporting guidance across multiple articles.
• Document environment, load model, and data assumptions when comparing reports.

Validation workflow

1. Identify the reportsreport canor bemetric viewedbeing by user roles?explained.
2. AnyConfirm Rootthe causedefinition still matches current AIQ behavior.
3. Add interpretation guidance and caveats.
4. Link analysis Reportssteps available?
5. Canto theexecution script repository
6. Difference between step timesoutput and iteration summary reportevidence.
7. Failure Report
8. Formulas for Total Hits
9. How does iteration summary report calculate step and testcase average duration
10. How is 90th Percentile Calculated?
11. How is step times calculated for test designer scripts?
12. How to send the result file to different team for review
13. How TPS values are calculated in Appvance IQ scalability report
14. Java Project to download the iteration summary report / REST API to get report data.
15. Lesser number of requests
16. Query to Pull report details using Execution ID
17. Real Time Reports in Appvance IQ
18. Resource Usage graph metric Definitions.
19. Sampling Rate in Appvance IQ.
20. Standard Deviation
21. To get the time duration of a particular step using JavaScript
22. Tool.jar - APCStepListener class
23. What is Average Size in Iteration/Step times report?
24. When there is blank row in the csv sheet, will it pick the blank row?
25. Performance Report Optimization

This section contains a collection of articles from the Appvance Knowledge Base.