Performance Testing

Performance Testing

 

One important aspect of modern software systems is their performance in multi-user or multi-tier environments. To test the performanceof the software you need to simulate its deployment environment and simulate the traffic that it will receive when it is in use – this can be difficult.

 

The most obvious way of accurately simulating the deployment environment is to simply use the live environment to test the system. This can be costly and potentially risky but it provides the best possible confidence in the system. It may be impossible in situations where the deployment system is constantly in use or is mission critical to other business applications.

 

If possible however, live system testing provides a level of confidence not possible in other approaches. Testingon the live system takes into account all of the idiosyncrasies of such a system without the need to attempt to replicate them on a test system.

 

Also common is the use of capture-and-playback tools (automated testing). A capture tool is used to record the actions of a typical user performing a typical task on the system. A playback tool is then used to reproduce the action of that user multiple times simultaneously. The multi-user playback provides an accurate simulation of the stress the real-world system will be placed under.

 

The use of capture and playback tools must be used with caution, however.Simply repeating the exact same series of actions on the system may not constitute a proper test. Significant amounts of randomisation and variation should be introduced to correctly simulate real-world use.

 

You also need to understand the technical architecture of the system. If you don't stress the weak points, the bottlenecks in performance, then your tests will prove nothing. Youneed to design targeted tests which find the performance issues.

 

Having a baseline is also important.

 

Without knowledge of the 'pre-change' performance of the software it is impossible to assess the impact of any changes on performance. “The system can only handle 100 transactions an hour!” comes the cry. But if it only needs to handle 50 transactions an hour, is this actually an issue?

 

Performance testing is a tricky, technical business. The issues that cause performance bottlenecks are often obscure and buried in the code of a database or network. Digging them out requires concerted effort and targeted, disciplined analysis of the software.