Contents
What are the common mistakes done in performance testing?
6 Common Performance Testing Mistakes
- Inadequate user think time in scripts.
- Using an inaccurate workload model.
- Setting up inadequate infrastructure monitoring.
- Usage of hard coded data in every request.
- Ignoring system or script errors even though response times and throughput may look fine.
- Overloading load generators.
What is a pass/fail criteria?
Pass Fail Criteria:- The Pass/Fail Criteria provides an accurate pass or fail status at the end of the test. You may also determine the status in the middle of a test, however, they may not be very precise or as easy to do.
What would be a good average response time to set as a failure criteria?
If the average response time (for all the labels in the test) goes over 10 milliseconds for 7 seconds in a row – stop the test as failed. If the number of hits (number of responses) for a specific label called ‘reserve’ is more than 10 for 13 seconds in a row – continue with the test, but mark it as failed.
What is SLA in performance testing?
Service level agreements (SLA) are designed to ensure the vendor and customer are on the same page with performance expectations. For instance, most web hosting companies provide SLAs for their customers guaranteeing 99.99% uptime — or less than an hour of downtime per year.
When should you not do a performance test?
The 10 most common performance engineering mistakes
- Failing to test for performance.
- Having no methodology.
- Neglecting to define KPIs.
- Failing to choose a tool.
- Testing for performance at the end of the development cycle.
- Testing only over the LAN.
- Looking only for server crashes.
- Analyzing results at the end of long tests.
Do you have to pass or fail a test?
Pass-fail testing necessarily must be the kind of test in a standard. Pass-fail testing necessarily must be the process of a certification house. But, for you, every pass-fail test should be changed into one of measurement. When you make the measurement and get a value, the value proves whether you pass or fail.
How to calculate the sample size for a pass fail test?
Here is the formula to calculate the required sample size for pass-fail tests, assuming zero failures: (Click on diagram to enlarge.) In this formula, C% is the confidence level, expressed as a percentage. Dividing this by 100 percent converts the confidence into a number between 0 and 1.
What happens when you fail a pull strength test?
You decide a pull-strength test is probably appropriate. So, you apply 35 pounds. At about 30 seconds, the jacket separates. Clearly not acceptable. You do have a problem. You look at other units. Some have damage, some don’t. The ones that have damage are not uniform. The damage varies from barely discernible to quite extensive.
What makes a fan fail the Hi Pot test?
The units are truly failing the hi-pot test: You do have a problem. It only takes a few minutes more to isolate the particu1ar part in the primary circuit that is the culprit. Let’s say, for discussion, the part is a fan motor. And, it is certified by several certification houses.